Stanford research places the Technion among the worldโ€™s top universities outside the US for producing research masterโ€™s graduates who go on to found billion dollar companies

LONDON, 13 August 2026: Behind every unicorn is an idea and behind some of the worldโ€™s most successful technology companies is a Technion graduate.

New research led by Stanford University Professor Ilya Strebulaev, an expert in venture capital and innovation, has placed the Technion, Israel Institute of Technology, among the top 10 universities outside the United States for producing research masterโ€™s graduates who have gone on to found deep tech unicorns, privately held companies valued at more than $1 billion.

The study identified 347 research masterโ€™s graduates from 206 universities outside the US who went on to found 270 unicorn companies. The Technion produced seven of those unicorn founders, placing it among an elite group of universities worldwide.

It is the latest evidence of an entrepreneurial culture that has helped ideas born at the Technion grow into companies worth billions of dollars and technologies used by millions of people around the world.

For more than a century, the Technion has educated scientists, engineers, doctors, researchers and entrepreneurs who have gone on to shape Israelโ€™s economy and make an impact far beyond its borders.

Research published by the Technion, based on data from the Samuel Neaman Institute, found that between 2015 and 2022, Technion graduates founded or managed 1,021 startup companies, approximately one quarter of all startups established in Israel during that period.

The Technion also educates approximately one third of the engineers graduating from Israeli universities and around half of Israelโ€™s PhDs in science and engineering.

Perhaps the most spectacular recent example is Wiz. The cybersecurity company was cofounded and is led by Technion alumnus Assaf Rappaport, who completed his masterโ€™s degree in computer science at the Technion.

Founded in 2020, Wiz experienced extraordinary growth, becoming one of the worldโ€™s most valuable cybersecurity companies. In 2025, Google announced an agreement to acquire Wiz for approximately $32 billion, the largest acquisition in Googleโ€™s history and the biggest exit in Israeli technology history. Before founding Wiz, Rappaport was also a cofounder of cybersecurity company Adallom, which was acquired by Microsoft in 2015.

Another Technion entrepreneurial success story is Armis, the cybersecurity company cofounded by Technion alumnus Nadir Izrael. Armis grew into a multibillion dollar global company protecting organisations and their connected assets. Izrael has spoken about how his time at the Technion helped prepare him for entrepreneurship, not only through his studies but through the relationships he formed there. It was at the Technion that he met the person who would eventually become his cofounder.

Other examples span the technology landscape. Silverfort, the identity security unicorn, was cofounded by Technion graduate Yaron Kassner. Technion alumna Merav Bahat cofounded and led cybersecurity company Dazz, which was acquired by Wiz in 2024 in a deal reported to be worth approximately $450 million.

These companies form part of a much larger ecosystem of businesses created and led by Technion graduates, spanning cybersecurity, software, medical technology, mobility, infrastructure, engineering and many other fields.

For Alan Aziz, CEO of Technion UK, the figures are significant not simply because of the valuations involved, but because of what they reveal about the people and ideas behind them.

Alan Aziz said: โ€œPeople talk about unicorns because of the extraordinary numbers attached to them, a billion dollar valuation or a multibillion dollar acquisition. But for me, the most exciting part of this story comes long before any of that. It begins with a student, an idea and the belief that something can be done differently. The Technion gives brilliant people the knowledge and the environment to question what is possible and then the confidence to go out and build it. When you see companies such as Wiz and Armis growing from ideas into businesses operating on a global scale, you begin to understand the extraordinary impact a university can have. These companies create jobs and economic value, but more importantly they create technologies that solve real problems. The seven unicorn founders identified by this research are seven remarkable success stories. But they also represent something much bigger: generations of Technion graduates who have taken what they learned and used it to change the world.โ€

The Stanford research is particularly significant because it focuses on deep tech unicorns, companies whose success is built around substantial scientific or engineering innovation. That connection between fundamental knowledge and real world application has been at the heart of the Technion since its creation.

The universityโ€™s graduates have helped build Israelโ€™s reputation as the Startup Nation, while creating companies and technologies whose influence extends far beyond Israel.

Across the Technion today, students and researchers are working on challenges spanning medicine, energy, water, cybersecurity, sustainable technology, transportation, computing and engineering.

The hospital-developed system analyses medical histories, laboratory results and imaging needs in real time, cutting admission delays and flagging hidden emergencies including a severe infection, suspected child abuse and a life-threatening potassium deficiency.

A new artificial intelligence system operating at Rambam Health Care Campus analyses the data of every patient in its emergency departments in real time, suggests possible diagnoses and treatments and identifies complex or unusual cases within seconds.

The system, named Shaked, has been in use at the Haifa hospital for the past six months. According to its developers, it has already shortened the time required to admit patients by one hour and reduced waiting time for specialist consultations in the adult and paediatric emergency departments by 25 minutes.

โ€œThis is the first AI system involved at highly important decision-making points in the emergency department,โ€ said Prof. Shahar Shelly, director of Rambamโ€™s Neurology Department and head of the artificial intelligence laboratory at the Technionโ€™s medical faculty, who initiated and developed the system.

โ€œWe believe waiting times will be shortened significantly in the near future. The results have already amazed us.โ€

Artificial intelligence has assumed a growing role in health care in recent years. Hospitals and health funds are developing and adopting systems that analyze medical information, support clinical decisions and assist physicians in treating patients.

At the same time, the health system remains concerned about doctors independently using external AI products such as ChatGPT, Gemini or Claude, which may not operate within secure medical databases or under institutional oversight.

Shaked supports medical teams throughout the emergency-room process, from admission, diagnosis and treatment to the decision to hospitalize or discharge a patient.

The system consolidates each patientโ€™s medical history, compares it with similar cases, receives and analyzes laboratory results and prioritizes imaging examinations such as CT scans in real time for all patients currently in the emergency department.

โ€œThe system sends alerts to doctorsโ€™ computers about specific patients whose condition could deteriorate within a short period, even when their clinical indicators appeared reasonable during triage,โ€ Shelly said.

It was gum inflammation, not a stroke

Shelly described a recent case in which the system identified severe gum inflammation in a patient whose symptoms initially appeared consistent with a stroke.

โ€œA young woman arrived with neurological symptoms characteristic of a stroke, including paralysis on one side of her face that had developed very rapidly,โ€ he said.

โ€œBecause of the suspected stroke, we were preparing to activate the stroke protocol, including an urgent CT scan. Although neither the patient nor the doctor made the connection, the system alerted us that two weeks earlier she had undergone a complex dental procedure that could become complicated, create a localised infection in the jaw and place pressure on the facial nerve.โ€

(Photo: Elad Gershgoren)

An oral and maxillofacial specialist was summoned to the emergency department and determined that the woman was suffering from acute gum inflammation rather than a stroke.

Another particularly sensitive case occurred in Rambamโ€™s pediatric emergency department after a 4-month-old girl arrived with a fractured thigh.

โ€œThe parents suggested that their 3-year-old child may have fallen on her, but the system retrieved an emergency-room visit from a month earlier involving another injury,โ€ said Dr. Idit Pasternak, director of the pediatric emergency department at Rambamโ€™s Ruth Rappaport Childrenโ€™s Hospital.

โ€œAnalyzing the case and combining the current fracture with the previous injury immediately raised suspicion of child abuse. Without the artificial intelligence, there would certainly have been a consultation with a specialist and a discussion involving the entire team, but in this case the Shaked system raised a red flag over an injury characteristic of abuse.โ€

Because doctors believed the infantโ€™s life could be at risk, they reported the case to the appropriate authorities without further delay.

A third case involved a 13-year-old boy who complained of muscle pain. According to Pasternak, the system analyzed his blood tests and alerted doctors to the possibility of severe hypokalemia combined with metabolic acidosis, a rare and life-threatening condition caused by an acute potassium deficiency.

โ€œWithout immediate treatment, acute heart and respiratory failure can develop within a short time, leading to cardiac arrest and death,โ€ she said. โ€œThe system saved valuable time. The doctors immediately confirmed the diagnosis and began lifesaving treatment.โ€

โ€˜ER lines will become a thing of the pastโ€™

Shelly said one of the principal causes of extended emergency-room stays is the wait for medical imaging, which can sometimes last several hours and create a risk of its own.

The system evaluates the patientโ€™s symptoms, medical background, current clinical indicators and laboratory findings, compares them with existing medical literature and then recommends whether imaging is necessary and which cases should receive the highest priority.

Physicians review every recommendation and retain responsibility for the final decision.

โ€œThe system identifies specific red flags for conditions such as internal bleeding, stroke, pulmonary embolism and others,โ€ Shelly said. โ€œSuch a case will be placed at the top of the list and marked as urgent and requiring immediate action.โ€

In the near future, the system is also expected to help prepare summaries of findings based on radiological interpretations.

Another tool incorporated into Shaked is a chat interface. Instead of opening dozens of previous patient visits to search for a specific piece of information, a physician can question the system about the patientโ€™s file and medical history.

The tool operates using databases developed over decades within the hospital.

โ€œOur AI does not have to go outside the system to mine information, but relies on the most up-to-date medical databases,โ€ Shelly said. โ€œThis makes the teamsโ€™ work more efficient in terms of both time and precision.โ€

โ€œSince we began operating the AI as a quiet adviser in the background, we have spared patients unnecessary CT scans and identified patients who need hospitalization more quickly,โ€ he added.

โ€œThe system can refresh medical information in real time and changes with every result that arrives. That level of dynamism is the first of its kind.โ€

The system was developed with the support of Rambamโ€™s management and through collaboration involving Pasternak, Emergency Department Director Dr. Alexander Strizhevsky, nursing teams and the hospitalโ€™s Digital and Information Technologies Division, headed by Hagar Trau, together with hospital developers Adi Ahituv and Keren Miron.

Dr. Michal Mekel, director of Rambam, said the hospital had placed innovation, and particularly the development of artificial intelligence, high on its list of priorities.

โ€œWe are allocating extensive resources to provide our patients with the best and most advanced treatment in the world,โ€ she said. โ€œWe are entering a new era in medicine.โ€

โ€œWe believe that within a short time, emergency-room lines will become a thing of the past, and we are moving toward a future of precise and rapid medicine that reduces cognitive bias.โ€

In that future, she said, technology will serve as a lifesaving digital safety net, supporting doctors in their decision-making and freeing them to concentrate on what matters most: their human connection with the patient.

Haifa-based NurExone is preparing for human trials of an experimental therapy that uses engineered exosomes to restore function after spinal cord and optic nerve injuries.

“Our goal is to bring to market a therapy that could help people regain function after spinal cord injuries or restore vision following damage to the optic nerve,” says Dr. Lior Shaltiel, CEO of Haifa-based startup NurExone, which was founded on research conducted at the Technion and Tel Aviv University.

It is an ambitious goal. NurExone is attempting to tackle one of medicine’s most difficult challenges: repairing the central nervous system, where damaged nerves have long been considered largely incapable of regeneration. While doctors have learned to treat many of the complications associated with spinal cord and optic nerve injuries, they have had little success in reversing the damage itself. Patients with severe spinal cord injuries typically do not regain the ability to walk, while damage to the optic nerve often leads to permanent vision loss.

“The moment a spinal cord injury occurs – whether in a car accident or from a partial or complete severing of the cord, for example as the result of a gunshot wound – a secondary injury begins to spread,” explains Dr. Jacob Blumenthal, head of the BrainTech department at the Ehrlich Group, who was involved in the early research conducted at the Technion. “Cells in the affected area begin to die, effectively interrupting communication between the brain and the parts of the body it controls.”

Lior Shaltiel. (Photo: Michal Revivo)

Unlike the peripheral nervous system, where damaged nerves can regenerate, the central nervous system contains biological mechanisms that actively prevent damaged nerve fibers from regrowing.

“If I cut my hand and damage a peripheral nerve, it can regenerate,” explains Yoram Drucker, serial entrepreneur and chairman of NurExone. “But the central nervous system contains molecules that block the rehabilitation of damaged nerves.”

The company’s central question became straightforward: can those biological brakes be temporarily switched off?

Blocking the blocker

One of the key molecules responsible is a protein known as PTEN. Under normal circumstances, PTEN plays a critical role in protecting the body by preventing uncontrolled cell growth, helping suppress cancer. Following a nerve injury, however, the same protein also inhibits the regeneration of damaged nerve cells.

“We know there are inhibitors that prevent nerve growth,” says Drucker. “So the idea was simple: let’s inhibit the inhibitor. If we block the blocker, we allow nerves to regrow.”

The challenge is delivering such treatment directly into damaged nervous tissue without invasive surgery.

NurExone’s approach relies on exosomes, microscopic particles naturally secreted by cells to communicate with one another throughout the body.

“We use exosomes because they can do three things,” Drucker explains. “They naturally migrate toward injured tissue, they help reduce inflammation and promote healing, and they serve as delivery vehicles. We load them with the therapeutic molecule we need, they enter the damaged tissue, release their cargo, and that’s what produces the therapeutic effect.”

The therapeutic cargo consists of a genetically engineered small interfering RNA (siRNA) molecule that temporarily suppresses PTEN activity.

“By temporarily switching off PTEN, we remove the brake on nerve regeneration,” says Shaltiel. “Importantly, we do this only for a short period – roughly two to three weeks after the injury.”

From engineered tissue to exosomes

NurExone’s origins trace back to research led by Prof. Shulamit Levenberg of the Technion and Prof. Daniel Offen of Tel Aviv University, who later became co-founders of the company.

Initially, Levenberg’s team focused on implanting engineered tissue directly into damaged spinal cords.

“We suddenly saw the rats walking,” she recalls. “We expected to see some improvement, but instead they got up, stood on their own, bore weight and walked almost normally. It was an incredibly exciting moment.”

The next challenge was translating those results into a treatment suitable for people.

Performing spinal cord transplants through invasive surgery would be difficult to apply widely, prompting the researchers to ask whether they could use only the biologically active components released by the cells rather than transplanting the cells themselves.

The answer was exosomes.

“We administered only the exosomes through the nose, and again the rats recovered,” says Levenberg. “The animals began walking again. At that point we realized this could become a practical, non-invasive clinical therapy.”

Manufacturing billions of biological delivery vehicles

Producing exosomes at clinical scale presents another technological challenge.

“We grow the cells in bioreactors at 37 degrees Celsius,” explains Dr. Tali Kizhner, NurExone’s vice president of research and development. “The cells grow on tiny carriers inside the bioreactor and continuously secrete exosomes, allowing us to scale production.”

Founded in 2020, NurExone has raised approximately $20 million and is publicly traded on the Toronto Stock Exchange.

Part of the company’s strategy is to pursue regulatory pathways for orphan diseases, which can provide development incentives and potentially accelerate regulatory review.

“This is an extremely active field because there are still no effective treatments,” says Blumenthal. “The first company to successfully commercialize a therapy in this area could gain a significant competitive advantage. Strong patent protection also substantially increases the company’s value.”

The commercial opportunity could also be considerable. Drucker notes that roughly 50,000 new spinal cord injury patients are diagnosed annually across the Western world. The company is also developing treatments targeting optic nerve damage, including glaucoma, which affects an estimated 80 million people worldwide.

NurExone remains in the advanced preclinical stage and is preparing regulatory submissions to the U.S. Food and Drug Administration. The company expects to begin its first human clinical trial in Israel and the United States around 2027, subject to regulatory approval.

But Shaltiel believes the long-term vision extends beyond hospitals.

“Eventually, we’d like to move treatment from the emergency room to the ambulance,” he says. “Someone injured in a car accident could receive the therapy immediately from a paramedic to prevent the loss of nerve cells before they even arrive at the hospital.”

Levenberg shares a similar vision.

“I imagine this becoming available in every emergency department,” she says. “A patient arrives with a spinal cord injury, receives exosome treatment immediately, and we prevent further deterioration while giving the tissue the opportunity to regenerate. If that becomes possible, we could prevent many of the lifelong consequences that spinal cord injuries cause today.”

The vision remains several years away from being tested in humans. But if NurExone’s approach proves successful in clinical trials, it could challenge one of neuroscience’s longest-standing assumptions: that damage to the central nervous system is largely irreversible.

The eye can rebuild lost corneal stem cells by turning old cells back into stem cells, a discovery that could one day help restore vision.

Researchers have found that old, fully mature cells in the cornea can become stem cells again. The cells rebuilt the eyeโ€™s stem cell supply even after every last stem cell had been destroyed.

Cells that had nearly stopped dividing pulled off the reversal and kept the tissue healthy for the rest of the animalโ€™s life.

The cornea is the clear dome at the front of the eye, and losing its stem cells can rob a person of sight.

A repair system the body runs on its own raises the prospect that some blindness could one day be reversed without a transplant from a donor.

A cornea rebuilds itself

The cornea keeps itself clear thanks to a small, hidden workforce. Its own limbal stem cells sit in a narrow ring at the outer rim, called the limbus.

Their offspring travel inward to replace surface cells as they wear away.

A team led by Professor Ruby Shalom-Feuerstein, a stem cell biologist at the Technion-Israel Institute of Technology, set out to see what happens when that workforce is gone. 

Working with mice, the researchers stripped away the entire ring of stem cells while leaving the surrounding tissue bed untouched. Through the clear cornea, they tracked the repair.

The cornea grew back. Tracing individual cells showed the new stem cells were not survivors that had escaped the scalpel but ordinary mature corneal cells that had reversed course.

Biologists call this dedifferentiation, a process in which a specialized cell reverts to a stem cell.

A remarkable transformation 

The transformation was remarkably complete.

Within about 40 days, the reverted cells were almost indistinguishable from the corneaโ€™s native stem cells, sharing more than 99 percent of their gene activity. Ordinary corneal cells share only 85 to 90 percent.

They also behaved like the real thing, supplying fresh surface cells and keeping the cornea clear for 6 months.

That result ran against a long-held assumption. Losing a tissueโ€™s stem cells was thought to be irreversible, ending in scarring and disease, which is why serious repair has usually meant transplanting cells from elsewhere. 

โ€œWe were surprised to discover that the cornea can regenerate itself even after the destruction of all its stem cells,โ€ said Shalom-Feuerstein.

The oldest cells made a comeback

Cells reversing into stem cells was not new. Earlier work had caught committed cells in fast-renewing tissues doing it.

One influential study showed differentiated cells in the airway becoming stable, working stem cells after the resident ones were removed.

What stayed unclear was the reach of that ability. In those tissues the cells that reverted were young, made only days earlier, so no one knew whether genuinely old cells held the same capacity.

The cornea gave the team a way to test it. Because a corneal cellโ€™s distance from the rim tracks its age, the researchers could pick out the eyeโ€™s oldest cells.

These were mature cells sitting at the center that had spent about four months drifting inward and had all but retired from dividing. Even these old cells made a comeback. 

When moved onto a stripped corneal rim, they switched their stem cell programs back on, rebuilt both the quiet reserve and the active working pool, and kept the cornea clear for nearly a year.

An immune cell trigger

Something had to tell those cells to change. The team traced the signal to macrophages, the immune cells that rush to any injury to clear debris and bacteria. 

They flooded the stripped rim within a day or two, and cutting their numbers by about three-quarters left the stem cells largely unable to return.

The macrophages did more than clean up. As they gathered they released signaling molecules.

Two of them, a growth factor called IGF1 and an immune messenger called CCL2, did most of the work of nudging mature cells back toward a stem cell state.

Blocking the pair stalled the repair, and adding them back restored it.

The reversal has its limits

The reversal has firm limits. It only worked when the tissue bed that houses the stem cells came through the injury intact, and it stayed within the corneaโ€™s own family of cells.

When cells from the conjunctiva, the membrane that covers the white of the eye, moved in to repopulate the corneaโ€™s outer rim instead, they could not transform into corneal stem cells.

The surface clouded and filled with blood vessels โ€“ the signature of blindness caused by stem cell loss.

The eye is not alone. In the skin, researchers have found that the stem cells responsible for hair color can shift in and out of a stem cell state as their surroundings change. 

The finding suggests this kind of cellular flexibility is a normal part of tissue maintenance, not just an emergency response to injury.

A path toward restoring vision

Whether human corneas can do the same is not yet settled. The experiments ran almost entirely in mice, and the team could not directly test reversal in humanย corneal cells.

Working with donated human tissue, they found the same macrophage molecules helped cultured human stem cells keep their identity โ€“ a sign the pathway may carry over.

The stakes are clearest for people who have lost the corneaโ€™s stem cells to burns, infection, or disease. Their vision is already gone or fading.

The study shows that a mature cell, even a very old one, can revert to a fully functional stem cell and remain that way for life, provided the surrounding tissue and immune cells supply the right signals. 

What remains unknown is how to trigger that process on demand and whether other organs possess the same hidden regenerative ability.

โ€œThe next challenge is learning how to control it and how to use it for regenerative medicine,โ€ said Shalom-Feuerstein.

The study is published in the journalย Nature Communications.

Scientists at the Technion โ€“ Israel Institute of Technology have developed an artificial intelligence tool that can predict a person’s risk of heart failure up to five years before symptoms appear.

The breakthrough, published in the journal npj Digital Medicine, could help doctors identify high-risk patients much earlier, allowing treatment to begin before serious damage is done.

Heart failure affects around 64 million people worldwide and is one of the leading causes of illness and hospital admissions, particularly in older adults.

The AI model analyses data from a routine 24-hour heart monitor (Holter ECG) and can detect tiny warning signs that are invisible to the human eye.

Professor Joachim Behar, who led the research at the Technion’s Faculty of Biomedical Engineering, said: “By identifying people at risk years before heart failure develops, we have an opportunity to intervene earlier, improve patients’ quality of life and potentially save lives.”

The model was developed using around 70,000 routine heart-monitoring tests from Leumit Health Services and was created in collaboration with researchers and clinicians from Rambam Health Care Campus, Shaare Zedek Medical Center, the Hebrew University of Jerusalem and other leading Israeli medical institutions.

The researchers hope the technology could eventually become part of routine healthcare, helping prevent heart failure before it starts.

Not long ago, artificial intelligence felt like something out of science fiction: It lived in futuristic movies and speculative headlines. Today, itโ€™s woven quietly into our daily routines. AI helps us decide where to eat dinner, flags unusual health symptoms, and even drafts our emails. 

But while AI has changed daily life, its impact within research universities may be even more profound. At the Technion, a revolution is unfolding. AI is not just another tool in the academic toolbox. It is transforming how research is done and how quickly discovery happens. 

Technion President Prof. Uri Sivan describes AI as a kind of โ€œsuperbrain,โ€ one we are all connected to. This superbrain can process staggering amounts of information, recognize patterns humans would miss, and solve problems at speeds that were unimaginable just a few years ago. For researchers, whose work depends on thinking, analysing, and discovering, AI has become an extension of their own minds.

A Tectonic Shift in Research 

Across campus, researchers in fields as diverse as medicine, biology, physics, and mechanical engineering are integrating AI into their daily work. Tasks that once required months or even years of painstaking effort can now be completed in hours. Calculations once done by hand or simulations that took weeks to run are now executed almost instantly.

Prof. Mark Silberstein of the Andrew and Erna Viterbi Faculty of Electrical and Computing Engineering believes this transformation is only beginning. โ€œWeโ€™re seeing a tectonic shift in academic research,โ€ he said. โ€œSoon, everyone will be using AI for one thing or another.

AI Revolution | Prof. Mark Silberstein
AI Revolution | Prof. Mark Silberstein

Within a year, he predicts, AI tools will be fully embedded in research across disciplines, and many researchers will build their own custom AI systems tailored to their work. The pace of change, he said, will only accelerate. 

What does that look like in practice?


From the Test Tube to the Computer

For generations, scientific breakthroughs were born in laboratories filled with microscopes, test tubes, and experimental animals. Today, many of those experiments are beginning not in physical labs, but inside computers. 

Ofer Strichman, professor of computational logic and computer science in the Faculty of Data and Decision Sciences, has watched this evolution firsthand. โ€œEvery year we recruit new faculty,โ€ he explained, โ€œand you can see how more and more scientists are computational experimentalists. Theyโ€™re doing their research in the computer.โ€ 

Prof. Ofer Strichman | AI revolution | American Technion Society
AI revolution | Prof. Ofer Strichman

Imagine developing a new drug. Traditionally, scientists tested one compound at a time, often beginning with animals. Itโ€™s slow, expensive, and limited. Now imagine creating a detailed digital simulation of a human organ, a โ€œvirtual organ,โ€ and testing not just one molecule, but millions of combinations. AI can analyze the results, identify the most promising candidates, and dramatically narrow down what needs to be tested in the lab. Instead of replacing laboratory work, computers supercharge it. Scientists can explore possibilities that would be impossible to test physically, then return to the lab with sharper focus and better odds of success. 

Picture a physicist, for instance, trying to predict how 1,000 celestial bodies will move over the next 1,000 years. The math quickly becomes overwhelming. But with powerful computers, each celestial body can be modeled digitally, with the system calculating how every object influences the others. The simulation unfolds in virtual space, revealing patterns no human could calculate by hand. 

โ€œNowadays,โ€ Strichman said, โ€œthe more computing power you have, the better your research results will be. Like having a bigger telescope, computers allow us to see farther.โ€


Why Computing Power Matters 

Behind every AI breakthrough lies a less glamorous but absolutely essential ingredient: computing power. 

For more than 30 years, the Technion has operated a high-performance computing (HPC) facility: essentially a warehouse filled with powerful servers. These systems have long supported researchers running complex simulations, particularly in fields like physics and engineering.

AI revolution | HPC Building at the Technion
3D render of High Performance Computing Building on Technion campus in Haifa

Traditionally, these computers relied on components called central processing units, or CPUs. You can think of a CPU as the brain of a computer. The Technion currently operates about 6,500 CPUs, and researchers typically wait just a couple of minutes to access one. But AI demands something different. 

Modern AI systems rely heavily on graphics processing units, or GPUs. Originally designed to render video game graphics, GPUs are uniquely suited for the kind of massive, parallel calculations that AI requires. While a CPU handles tasks sequentially, a GPU can perform many calculations simultaneously, making it dramatically faster for AI workloads. The difference is enormous. 

GPUs are not only expensive (each unit can cost around $250,000) but they also require specialized infrastructure. They consume large amounts of electricity and generate extraordinary heat, demanding sophisticated cooling systems and advanced networking to allow thousands of units to communicate seamlessly. The Technion currently has only 72 GPUs, which is far from sufficient. Researchers can wait four hours or more for access to one. In a world where speed determines competitiveness, those hours matter.


A Global Race 

Around the globe, countries, universities, and technology companies are racing to dominate the AI frontier. Success depends not only on talent and ideas, but also on infrastructure. The institutions that build the most advanced computing systems gain a powerful edge in research, innovation, and economic development. 

โ€œThere is an arms race among countries and universities to achieve AI dominance. To be at the forefront of this field, we need to strengthen the capabilities we have at the Technion.โ€

Prof. Mark Silberstein

At present, many Technion researchers must rely on industry partnerships to access advanced GPU systems because the University lacks sufficient in-house capacity. While collaboration with industry can be valuable, dependence creates limitations. 

Complicating matters, Israelโ€™s recent war with Hamas forced national and institutional priorities to shift and long-term infrastructure investments were necessarily delayed. Now, as the country looks toward rebuilding and strengthening its future, expanding AI infrastructure has become a strategic priority. 

The Technion is taking a major step forward with the construction of the Martin and Grace Druan Rosman High-Performance Computer Data Centre. The facility is nearing completion and will provide a state-of-the-art home for next-generation computing. 

Supported by Dr. Martin Rosman and Grace Druan Rosman through the American Technion Society, the new centre includes advanced electrical systems, cutting-edge cooling technologies, and high-speed communications networks โ€” all designed specifically to support powerful GPU-based systems. In simple terms: The building will be ready for the AI era. 

martin and grace rosman unveiling new supercomuting center at the technion in haifa | Donate to Support Israel | Technion University
Martin and Grace Rosman unveiling the supercomputing centre, 2023

High Stakes for Israel 

For Israel, the implications extend far beyond campus. Israelโ€™s reputation as the Startup Nation rests heavily on the strength of its scientific institutions. Many of the countryโ€™s most successful technology companies trace their roots to Technion labs and classrooms. The engineers and entrepreneurs trained here help power Israelโ€™s economy. 

If the Technion falls behind in AI research infrastructure, the ripple effects could be significant. Conversely, if it leads, the impact could be transformative: accelerating medical breakthroughs, advancing clean energy solutions, strengthening national security, and fueling new industries. 

โ€œThe Technion is committed to educating the best engineers in the world, the most capable entrepreneurs,โ€ Silberstein said. โ€œIsraelโ€™s brainpower is our competitive advantage.โ€ 

The AI revolution is here and itโ€™s reshaping science, education, and industry. At the Technion, the question is not whether AI will transform research because that transformation is already underway. The question is how boldly and how quickly the University can build the infrastructure needed to lead.  

Concrete shapes the world you live in, but its environmental toll is massive.ย Imagine, though, if the buildings around you could grow and breathe, helping to heal theย planet. This isnโ€™t science fiction. Itโ€™s the vision of CyanoCement. Developed by researchers from the Technion,ย Israelย Institute of Technology, this innovative biocement uses ancientย microbesย to redefine how we think about construction materials.

At the heart of CyanoCement are cyanobacteria, tiny photosynthetic organisms responsible for Earthโ€™s first oxygen-rich atmosphere. By leveraging these extraordinary capabilities, the teamโ€”Perla Armaly, Yuval Berger, Lubov Iliassafov, Keren Rosenblau, Yechezkel Kashi, and Shany Barathโ€”crafted a process where these microbes bind minerals and precipitate calcium carbonate, creating a solid without high emissions.

Petri dish with cyanobacteria cultures on a laboratory table.

Innovative Design Meets Environmental Responsibility

This biocement doesnโ€™t just end its environmental work once installed. It continues to capture carbon dioxide from the air, actively working against the problem of atmospheric carbon. Unlike conventional methods, CyanoCement turns construction into part of the solution.

Construction worker applying biocement to a brick wall surface.

The material is designed for facades,ย interiorย panels, and decorative structures. By focusing on non-load-bearing elements, the team keeps the projectโ€™s ambitions grounded, managing expectations with scientific precision.

Close-up of biocement texture with visible green cyanobacteria.

Visible Green: A Living, Breathing Material

The green hue of CyanoCement isnโ€™t painted on. Itโ€™s the color of lifeโ€”indicative of the cyanobacteria within. The design makes environmental benefits visible, offering a reassuring sign that sustainability is working, right before your eyes.

Lab technician measuring pH level of biocement solution.

This innovative project emerged from the Disrupt Design Lab at Technion, in collaboration with the Applied Genomics Lab, marking a significant crossover between architecture and biology. Itโ€™s a fusion rarely seen, yet wholly necessary for the future of sustainable design.

For a unique blend of nature and architecture, explore how theย Sofia Pavilion blends urban landscapeswith natural elements.

Construction site using eco-friendly biocement blocks in foundation.

CyanoCement was honored with the Green Productย Award, celebrated for its meaningful impact and robust research. Itโ€™s not just talkโ€”this material has substance and intention.

Learn how ancient materials are making a comeback withย Finnish designers crafting fashionย from shipwreck timber.

Green biocement samples displayed on a laboratory workbench.

As we think about the future of architecture and sustainability, itโ€™s time to reconsider the role of construction. CyanoCement poses a radical idea: buildings that are not only structures but contributors to the atmosphere. An idea thatโ€™s difficult to ignore once it takes root in your mind.

Researcher writing down observations of growing cyanobacteria samples.

For decades, theย Energy Tower by Dan Zaslavskyย was one of the most audacious clean-energy ideas never built. And it was the first story we covered when Green Prophet was founded in 2007!

Dan Zaslavsky date unknown
Dan Zaslavsky date unknown

Conceived by Dr. Phillip Carlson and championed by Professor Dan Zaslavsky of the Technion in Israel, the Energy Tower proposed something almost magical: spray seawater into the top of a giant desert tower, cool the hot air, let it plunge downward at high speed, and generate electricity through turbines at the base. The hotter and drier the desert, the better it would work. Zaslavsky envisioned towers over 1,000 metres tall rising from the Negev, Jordan Valley, and Red Sea region, generating power day and night while potentially producing fresh water.

Energy Tower
The Energy Tower

The idea never made the leap from drawings and engineering studies to full-scale construction. We have the original PDF proposal and science โ€”>ย LINK HERE

Theย UN advertised its potential in 2001ย but noted then that the $20M USD cost to build it was limiting. But nearly two decades after most people stopped talking about it, the concept is quietly evolving in two unexpected places: China and Iran. The concept let dreamers dream and doers do โ€“ figuring out more pleasing designs and engineering.

The Downdraft Energy Tower
The Downdraft Energy Tower

China turns the Energy Tower into a climate machine

The Chinese methane paper, on the other hand, is much closer to the original Energy Tower because it explicitly describes spraying water into the top of the tower to create the downdraft, exactly as Carlson and Zaslavsky envisioned.
The Chinese methane paper, on the other hand, is much closer to the original Energy Tower because it explicitly describes spraying water into the top of the tower to create the downdraft, exactly as Carlson and Zaslavsky envisioned.

In 2023, researchers from the University of Edinburgh, Wuhan University of Technology and other institutions revisited the downdraft Energy Tower concept with a new purpose: removing methane from the atmosphere. Their study proposed that the humid air released from a downdraft tower could increase the formation of hydroxyl radicals, the atmosphereโ€™s primary cleanser and the main natural sink for methane.

Downdraft Energy Tower (DET)

The researchers estimated that a tower 1,200 metres high and 400 metres in diameter could generate roughly 380 MW of electricity while simultaneously helping remove atmospheric methane. They calculated that a single Jordan-based tower could remove approximately 12.5 tonnes of methane per day under ideal conditions.

Whether those numbers hold up in practice remains to be seen. No commercial-scale downdraft Energy Tower has yet been built. But the research marks a remarkable shift. The tower is no longer viewed merely as a power plant. It is being reimagined as a tool for climate remediation.

Iran transforms the tower into a vertical oasis

Energy Tower from Iran
Iranian Energy Tower

Meanwhile, a team of Iranian architects received an Honorable Mention in the 2025 Skyscraper Competition for their โ€œRegenerative Towerโ€ proposal on Iranโ€™s Makran coast.

Unlike Zaslavskyโ€™s energy-focused concept, the Iranian project imagines the tower as an entire ecosystem. The design combines wind energy generation, atmospheric water harvesting, food production, housing and climate adaptation in a single 200-metre structure.

The towerโ€™s twin wind shafts generate energy. A butterfly-like exoskeleton captures moisture from the air. Vertical farms produce vegetables, fruit and medicinal crops. Residential rings provide shaded housing inspired by traditional Baluchi architecture. The project claims it could generate up to 15,000 litres of water per day while recycling nearly all of its water in a closed-loop system.

Iran energy tower
Iranโ€™s Energy Tower

Although the project does not explicitly employ the classic evaporative downdraft system developed by Carlson and Zaslavsky, its philosophy is strikingly similar: use desert heat, wind and humidity not as obstacles but as resources.

What links these projects is not simply a tower. It is a way of thinking.

Carlson and Zaslavsky believed deserts should not be viewed as barren landscapes waiting for resources to be imported. They believed deserts themselves contained enormous untapped energy. Heat, dryness, wind and seawater could be transformed into electricity, water and prosperity.

Chinaโ€™s methane-removal research expands the concept into the realm of climate engineering. Iranโ€™s Regenerative Tower expands it into urban design and community resilience.

Neither project has yet delivered a functioning tower. But both suggest that Zaslavskyโ€™s dream may have been ahead of its time. From the engineering literature, Carlson appears to have been an American engineer/inventor, and the concept emerged in the United States before being adopted and extensively studied in Israel during the 1970sโ€“1990s. The Israeli work is much better documented than Carlsonโ€™s own biography.

Nearly half a century after its invention, Dan Zaslavskyโ€™s giant Energy Tower may finally be finding its moment.

Technion-developed technology allows patients to detect dangerous sleep disorders from home using a simple wearable device and artificial intelligence, eliminating need for costly lab tests.

Nearly 40% of the global population suffers from sleep-related disorders, according to the World Health Organization. Among the most serious, and often undiagnosed, conditions is sleep apnea, a disorder estimated to affect nearly one billion people worldwide.

Diagnosing sleep apnea traditionally requires an overnight stay in a specialised sleep laboratory, such as the facility at Ichilov Hospital in Tel Aviv.ย 

Patients are connected to multiple sensors that monitor brain activity, breathing patterns, heart rate, and oxygen levels throughout the night. The process is complex, expensive, and often inaccessible, with costs ranging from $1,170 to $11,700 depending on the clinic.

An Israeli startup, Sleep AI, aims to change that. Developed by researchers at the Technion, the technology uses a lightweight oximeter linked to a mobile app and powered by artificial intelligence. Patients can complete the test from home by simply wearing the device overnight while data is uploaded to the companyโ€™s cloud platform for analysis.

Within minutes, physicians receive a detailed medical report that not only evaluates sleep quality, but also maps sleep architecture, identifies signs of sleep apnea, and assesses cardiovascular risks linked to nighttime oxygen deprivation.

Unlike consumer smartwatches, Sleep AI is designed as a medical-grade diagnostic tool. In clinical testing conducted in sleep centres, the system demonstrated an overall accuracy rate of 89% for detecting sleep apnea, rising to 99% for moderate and severe cases.

The company is now pursuing international regulatory approvals with the goal of making sleep apnea diagnosis faster, cheaper, and more widely available โ€” potentially even covered by health insurance in the future.

By moving diagnosis from the sleep lab to the home, Sleep AI hopes to make sleep health screening a routine part of modern medical care.

Researchers at the Technion have discovered how changes in genetic regulatory sequences can lead to alterations in the form and structure of animals โ€“ even when genetic regulatory systems are stable and resistant to change. The study, published in Science Advances, was led by Dr. Ella Preger-Ben Noon and Ph.D. candidate Areej Said-Ahmad from the Ruth and Bruce Rappaport Faculty of Medicine.

1. Dr. Ella Preger-Ben Noon (on the right) and Ph.D. candidate Areej Said-Ahmad
1. Dr. Ella Preger-Ben Noon (on the right) and Ph.D. candidate Areej Said-Ahmad ืฆื™ืœื•ื: ืจืžื™ ืฉืœื•ืฉ, ื“ื•ื‘ืจื•ืช ื”ื˜ื›ื ื™ื•ืŸ
Dr. Ella Preger-Ben Noon (on the right) and Ph.D. candidate Areej Said-Ahmad 
Dr. Ella Preger-Ben Noon (on the right) and Ph.D. candidate Areej Said-Ahmad

Photo Credit: Rami Shelush

The loss of morphological traits is a common phenomenon in evolution. Well-known examples include the loss of legs in snakes and the loss of eyes in cavefish. In many cases, such changes do not result from the loss of the genes responsible for these traits, but rather from changes in how those genes are regulated during development. However, many developmental genes are controlled by multiple regulatory sequences with overlapping activity, forming a stable and robust regulatory system.

This study addresses a fundamental question in biology: how do organisms change form over the course of evolution despite the presence of stable genetic regulatory systems? These systems rely on DNA sequences known as enhancers, which activate genes at precise times, levels, and locations during development. Enhancers often act redundantly, so that if one is impaired, others can compensate and maintain proper gene expression. This redundancy confers stability and resistance to change, but also raises a paradox: how do changes in gene expression still occur, leading to alterations in the shape and structure of organs?

To address this question, the researchers focused on Drosophila flies, particularly the species Drosophila sechellia, in which tiny hair-like structures (trichomes) have disappeared from the larval body during evolution. This trait is controlled by the shavenbaby gene, whose expression is regulated by multiple enhancers. Contrary to expectations that such a system would protect gene expression from change, the researchers found that four different enhancers of shavenbaby lost their activity over the course of evolution, each through a distinct mechanism.

Image: Closely related fruit flies can look quite different because of how a single gene is turned on or off. The larvae on the left have dense rows of tiny hairs, while those on the right have lost many of them. This difference comes from changes in how the shavenbaby gene works during early developmen
Image: Closely related fruit flies can look quite different because of how a single gene is turned on or off. The larvae on the left have dense rows of tiny hairs, while those on the right have lost many of them. This difference comes from changes in how the shavenbaby gene works during early developmen

Through detailed DNA sequence analysis and functional experiments, the researchers found that the loss of enhancer activity occurred via different molecular mechanisms, including deletion of essential sequences, loss of binding sites for activators and gain of repressor binding sites, acquisition of a silencer, and even the unmasking of pre-existing repression. In other words, the same evolutionary outcome โ€“ the loss of gene expression โ€“ was achieved through different molecular pathways within the same genomic region.

These findings demonstrate that the same evolutionary outcome can arise through multiple routes. The presence of multiple enhancers, while they contribute to stable gene expression, also creates points of vulnerability where mutations can reduce their activity. The study shows that stability does not necessarily act as a barrier to evolution, as there are diverse molecular ways to circumvent it. These insights are relevant to a wide range of biological systems and deepen our understanding of how variation in form and structure arises in nature.