Jan. 29, 2026
CSE in 2026

While not as highlight-reel worthy as the Winter Olympics and the World Cup, experts expect high-performance computing (HPC) to have an even bigger impact on daily life in 2026.

Georgia Tech researchers say HPC and artificial intelligence (AI) advances this year are poised to improve how people power their homes, design safer buildings, and travel through cities.

According to Qi Tang, scientists will take progressive steps toward cleaner, sustainable energy through nuclear fusion in 2026. 

“I am very hopeful about the role of advanced computing and AI in making fusion a clean energy source,” said Tang, an assistant professor in the School of Computational Science and Engineering (CSE)

“Fusion systems involve many interconnected processes happening across different scales. Modern simulations, combined with data-driven methods, allow us to bring these pieces together into a unified picture.”

Tang’s research connects HPC and machine learning with fusion energy and plasma physics. This year, Tang is continuing work on large-scale nuclear fusion models.

Only a few experimental fusion reactors exist worldwide compared to more than 400 nuclear fission reactors. Tang’s work supports a broader effort to turn fusion from a promising idea into a practical energy source.

Nuclear fusion occurs in plasma, the fourth state of matter, where gas is heated to millions of degrees. In this extreme state, electrons are stripped from atoms, creating a hot soup of fast-moving ions and free electrons. In plasma, hydrogen atoms overcome their natural electrical repulsion, collide, and fuse together. This releases energy that can power cities and homes.

Computers interpret extreme temperatures, densities, pressures, and plasma particle motion as massive datasets. Tang works to assimilate these data types from computer models and real-world experiments.

To do this, he and other researchers rely on machine learning approaches to analyze data across models and experiments more quickly and to produce more accurate predictions. Over time, this will allow scientists to test and improve fusion reactor designs toward commercial use. 

Beyond energy and nuclear engineering, Umar Khayaz sees broader impacts for HPC in 2026.

“HPC is the need of the day in every field of engineering sciences, physics, biology, and economics,” said Khayaz, a CSE Ph.D. student in the School of Civil and Environmental Engineering

“HPC is important enough to say that we need to employ resources to also solve social problems.”

Khayaz studies dynamic fracture and phase-field modeling. These areas explore how materials break under sudden, rapid loads. 

Like nuclear fusion, Khayaz says dynamic fracture problems are complex and data-intensive. In 2026, he expects to see more computing resources and computational capabilities devoted to understanding these problems and other emerging civil engineering challenges.

CSE Ph.D. student Yiqiao (Ahren) Jin sees a similar relationship between infrastructure and self-driving vehicles. He believes AI will innovate this area in 2026.

At Georgia Tech, Jin develops efficient multimodal AI systems. An autonomous vehicle is a multimodal system that uses camera video, laser sensors, language instructions, and other inputs to navigate city streets under changing scenarios like traffic and weather patterns.

Jin says multimodal research will move beyond performance benchmarks this year. This shift will lead to computer systems that can reason despite uncertainty and explain their decisions. In result, engineers will redefine how they evaluate and deploy autonomous systems in safety-critical settings.

“Many foundational problems in perception, multimodal reasoning, and agent coordination are being actively addressed in 2026. These advances enable a transition from isolated autonomous systems to safer, coordinated autonomous vehicle fleets,” Jin said. 

“As these systems scale, they have the potential to fundamentally improve transportation safety and efficiency.”

News Contact

Bryant Wine, Communications Officer
bryant.wine@cc.gatech.edu

Jan. 28, 2026
During a research session, a participant looks at a monitor and imagines saying the text cue displayed on screen. Text below the cue shows the brain-computer interface’s prediction of her imagined words.

During a research session, a participant imagines saying the text cue on the screen. The bottom text is the brain-computer interface’s prediction of the imagined words. (Photo courtesy: Chethan Pandarinath)

Last summer, a team of researchers reported using a brain-computer interface to detect words people with paralysis imagined saying, even without them physically attempting to speak. They also found they could differentiate between the imagined words they wished to express and the person’s private inner thoughts.

It’s a significant step toward helping people with diseases like amyotrophic lateral sclerosis, or ALS, reconnect with language after they’ve lost the ability to talk. And it’s part of a long-running clinical trial on brain-computer interfaces involving biomedical engineers from Georgia Tech and Emory University alongside collaborators at Stanford University, Massachusetts General Hospital, Brown University, and the University of California, Davis. 

Together, they’re exploring how implanted devices can read brain signals and help patients use assistive devices to recover some of their lost abilities.

Speech has become one of the hottest areas for these interfaces as scientists leverage the power of artificial intelligence, according to Chethan Pandarinath, associate professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory and one of the researchers involved in the trials.

“We can place electrodes in parts of the brain that are related to speech,” he said, “and even if the person has lost the ability to talk, we can pick up the electrical activity as they try to speak and figure out what they’re trying to say.”

Read the full story in Helluva Engineer magazine.

News Contact

Joshua Stewart
College of Engineering

Jan. 27, 2026
A car's side view mirror with a alert in the center of the mirror.

A newly discovered vulnerability could allow cybercriminals to silently hijack the artificial intelligence (AI) systems in self-driving cars, raising concerns about the security of autonomous systems increasingly used on public roads.

 Georgia Tech cybersecurity researchers discovered the vulnerability, dubbed VillainNet, and found it can remain dormant in a self-driving vehicle’s AI system until triggered by specific conditions.

Once triggered, VillainNet is almost certain to succeed, giving attackers control of the targeted vehicle.

The research finds that attackers could program almost any action within a self-driving vehicle’s AI super network to trigger VillainNet. In one possible scenario, it could be triggered when a self-driving taxi’s AI responds to rainfall and changing road conditions.

Once in control, hackers could hold the passengers hostage and threaten to crash the taxi.

The researchers discovered this new backdoor attack threat in the AI super networks that power autonomous driving systems. 

“Super networks are designed to be the Swiss Army knife of AI, swapping out tools, or in this case sub networks, as needed for the task at hand," said David Oygenblik, Ph.D. student at Georgia Tech and the lead researcher on the project. 

"However, we found that an adversary can exploit this by attacking just one of those tiny tools. The attack remains completely dormant until that specific subnetwork is used, effectively hiding across billions of other benign configurations." 

This backdoor attack is nearly guaranteed to work, according to Oygenblik. This blind spot is nearly undetectable with current tools and can impact any autonomous vehicle that runs on AI. It can also be hidden at any stage of development and include billions of scenarios.

“With VillainNet, the attacker forces defenders to find a single needle in a haystack that can be as large as 10 quintillion straws," said Oygenblik. 

"Our work is a call to action for the security community. As AI systems become more complex and adaptive, we must develop new defenses capable of addressing these novel, hyper-targeted threats." 

The hypothetical fix to the problem was to add security measures to the super networks. These networks contain billions of specialized subnetworks that can be activated on the fly, but Oygenblik wanted to see what would happen if he attacked a single subnetwork tool.

In experiments, the VillainNet attack proved highly effective. It achieved a 99% success rate when activated while remaining invisible throughout the AI system. 

The research also shows that detecting a VillainNet backdoor would require 66x more computing power and time to verify the AI system is safe. This challenge dramatically expands the search space for attack detection and is not feasible, according to the researchers.

The project was presented at the ACM Conference on Computer and Communications Security (CCS) in October 2025. The paper, VillainNet: Targeted Poisoning Attacks Against SuperNets Along the Accuracy-Latency Pareto Frontier, was co-authored by Oygenblik, master's students Abhinav Vemulapalli and Animesh Agrawal, Ph.D. student Debopam Sanyal, Associate Professor Alexey Tumanov, and Associate Professor Brendan Saltaformaggio

News Contact

John Popham
Communications Officer II 
School of Cybersecurity and Privacy

 

Jan. 22, 2026
a patch of haptic actuators shown on a user's neck

Worn on the neck, and paired with a smartphone, these haptic actuators designed in Matt Flavin's lab can help people with vision loss navigate their environment. (Photo: Chris McKenney)

If you walked through the Smithsonian American History Museum in the mid-2000s, you might have seen the “Smart Shirt,” the very first garment to seamlessly combine textiles and electronics.

Dubbed a “wearable motherboard,” it acted as a hub for sensors that could collect a range of biometric data.

That shirt foretold a future where health and biometric data could be collected unobtrusively through wearable technology. And it was created by engineers at Georgia Tech.

“What we have is all these nice data buses that are the fabric threads. And we can connect any kind of sensors to them,” said Professor Sundaresan Jayaraman, the shirt’s co-creator. “We were able to route information in a fabric for the first time, just like a typical computer motherboard. That’s why we called it the ‘wearable motherboard.’”

Jayaraman and Sungmee Park created the shirt in response to a Defense Advanced Research Projects Agency (DARPA) call for ideas to protect soldiers in battle. They envisioned a comfortable, flexible garment infused with fiber optics to detect gunshot wounds and vital signs. The data would help medics rapidly triage battlefield injuries in the critical minutes when emergency care is the difference between life and death.

Creating a shirt made it easy: no bulky electronics to add to the gear soldiers carried. Just a piece of clothing to wear under their fatigues. Park and Jayaraman developed a way to weave the garment on a loom, making mass production and consistency far easier.

The original sleeveless shirt is tucked into the Smithsonian archives now. But it’s possible to follow the thread of that first smart textile to the work happening in the pair’s School of Materials Science and Engineering (MSE) lab today. 

Read the full story in Helluva Engineer magazine.

News Contact

Joshua Stewart
College of Engineering

Jan. 22, 2026
Students visited Lachung and Chungthang in Sikkim, India. Upstream in the Teesta Valley, students examined how steep terrain and river confinement amplify flood forces and how failures can cascade across an entire corridor of infrastructure.

Students visited Lachung and Chungthang in Sikkim, India. Upstream in the Teesta Valley, students examined how steep terrain and river confinement amplify flood forces and how failures can cascade across an entire corridor of infrastructure.

Downstream in the town Dikchu in Sikkim, India, the class focused on community-scale consequences: damaged buildings, disrupted access, and long recovery timelines.

Downstream in the town Dikchu in Sikkim, India, the class focused on community-scale consequences: damaged buildings, disrupted access, and long recovery timelines.

Rangpo in Sikkim, India offered a view of recovery in motion such as materials staged for rebuilding near bridges and roads that keep commerce and emergency response moving.

Rangpo in Sikkim, India offered a view of recovery in motion such as materials staged for rebuilding near bridges and roads that keep commerce and emergency response moving.

In Kathmandu Valley, Nepal, the course broadened from hazard impacts to cultural context, exploring how heritage, governance, and everyday use of public space shape resilience.

In Kathmandu Valley, Nepal, the course broadened from hazard impacts to cultural context, exploring how heritage, governance, and everyday use of public space shape resilience.

School of Civil and Environmental Engineering students captured 360 media, using Filio, to study disaster sites in India and Nepal. Photos provided by Roozbahani.

School of Civil and Environmental Engineering students captured 360 media, using Filio, to study disaster sites in India and Nepal. Photos provided by Roozbahani.

An AI-powered tool is changing how researchers study disasters and how students learn from them. 

In the International Disaster Reconnaissance (IDR) course, students now use Filio, a platform built by School of Computing Instruction Senior Lecturer Max Mahdi Roozbahani, to capture immersive 360° media, photos, and video that transform real disaster sites in India and Nepal into living digital classrooms. 

Offered by the School of Civil and Environmental Engineering and taught by IDR director and Regents’ Professor David Frost, the course pairs traditional fieldwork with Roozbahani’s expertise in immersive technology and data-driven learning, transforming on-the-ground observations into reusable, interactive educational resources. 

How Computing Can Capture Data 

Disasters are not only physical events; they are also information events, Roozbahani says. Effective response and long-term resilience depend on the ability to observe, record, and communicate critical data under pressure. Georgia Tech’s IDR course pairs structured on-campus preparation with international field experiences, enabling students to study the cascading effects of major disasters, including how local building practices, governance, and culture shape damage and recovery. 

“When students step into a disaster zone, they learn quickly that resilience is a systems problem: physical, social, and informational. Our job in computing is to help them capture and reason about that system responsibly,” Roozbahani said. 

Learning from the 2025 Himalayas Expedition 

During spring break last year, the cohort traveled along the Teesta River corridor in Sikkim, India. The region is shaped by steep terrain, fast-moving water, and critical infrastructure in narrow valleys. 

The visit followed the October 2023 glacial lake outburst flood from South Lhonak Lake, which destroyed the Teesta III hydropower dam and impacted downstream towns, including Dikchu and Rangpo. Field stops across India included Lachung, Chungthang, Dikchu, Rangpo, Gangtok, and New Delhi. 

Students explored both upstream and downstream consequences. 

Upstream, the team examined how steep terrain and river confinement amplify flood forces, creating cascading risks for infrastructure. Using Filio’s interactive 360° media, students captured conditions in Lachung and Chungthang, allowing viewers to explore the landscape through a 360° photo and 360° video that reveal how topography and river dynamics intensify disaster impacts. 

They studied community-scale effects downstream, including damaged buildings, disrupted access, and prolonged recovery timelines. 

Rangpo offered a glimpse of recovery in motion, with materials staged for rebuilding bridges and roads essential to commerce and emergency response.

Using Immersive Media as a Learning Tool 

Students documented their field experience using Filio, an AI-powered visual reporting platform developed by Roozbahani through Georgia Tech’s CREATE-X ecosystem. Filio captures high-resolution photos, video, and 360° immersive media, preserving both the facts and the context of disaster sites; what the site felt like, what was lost, and what communities prioritized in recovery.  

“A 360° capture lets students return months later and ask better questions. That second look is where learning accelerates,” Roozbahani said. 

Supported by alumni and faculty mentors, including Tech alumnus Chris Klaus and Georgia Tech mentor Bill Higginbotham, the platform is evolving into a reusable educational library for future courses on immersive technology, responsible AI, and global resilience. 

Kathmandu: The Context of Culture 

The course concluded in Kathmandu, Nepal, where students examined how heritage, governance, and the everyday use of public space shape resilience. 

Through Filio’s immersive documentation — including a 360° photo and 360° video from Kathmandu — the focus broadened from hazard impacts to cultural context, highlighting how recovery is not only about rebuilding structures, but also about preserving identity, memory, and community.

Looking Ahead: A Growing Resource for All Students 

Frost and Roozbahani envision the IDR immersive media library as a reusable resource for students even when they cannot travel, supporting future courses on immersive technology, responsible AI, and global resilience. Spring 2026 cohorts will continue to build on this foundation by documenting, analyzing, and sharing insights that can improve education and real-world disaster response. 

Jan. 22, 2026
Today’s power grid equipment incorporates internet-connected – and therefore hackable – computers. Joe Raedle/Getty Images

Today’s power grid equipment incorporates internet-connected – and therefore hackable – computers. Joe Raedle/Getty Images

The darkness that swept over the Venezuelan capital in the predawn hours of Jan. 3, 2026, signaled a profound shift in the nature of modern conflict: the convergence of physical and cyber warfare. While U.S. special operations forces carried out the dramatic seizure of Venezuelan President Nicolás Maduro, a far quieter but equally devastating offensive was taking place in the unseen digital networks that help operate Caracas.

The blackout was not the result of bombed transmission towers or severed power lines but rather a precise and invisible manipulation of the industrial control systems that manage the flow of electricity. This synchronization of traditional military action with advanced cyber warfare represents a new chapter in international conflict, one where lines of computer code that manipulate critical infrastructure are among the most potent weapons.

To understand how a nation can turn an adversary’s lights out without firing a shot, you have to look inside the controllers that regulate modern infrastructure. They are the digital brains responsible for opening valves, spinning turbines and routing power.

For decades, controller devices were considered simple and isolated. Grid modernization, however, has transformed them into sophisticated internet-connected computers. As a cybersecurity researcher, I track how advanced cyber forces exploit this modernization by using digital techniques to control the machinery’s physical behavior.

Hijacked Machines

My colleagues and I have demonstrated how malware can compromise a controller to create a split reality. The malware intercepts legitimate commands sent by grid operators and replaces them with malicious instructions designed to destabilize the system.

For example, malware could send commands to rapidly open and close circuit breakers, a technique known as flapping. This action can physically damage massive transformers or generators by causing them to overheat or go out of sync with the grid. These actions can cause fires or explosions that take months to repair.

Simultaneously, the malware calculates what the sensor readings should look like if the grid were operating normally and feeds these fabricated values back to the control room. The operators likely see green lights and stable voltage readings on their screens even as transformers are overloading and breakers are tripping in the physical world. This decoupling of the digital image from physical reality leaves defenders blind, unable to diagnose or respond to the failure until it is too late.

people wearing hardhats in front of electrical equipment the size of a small house

Today’s electrical transformers are accessible to hackers. GAO

Historical examples of this kind of attack include the Stuxnet malware that targeted Iranian nuclear enrichment plants. The malware destroyed centrifuges in 2009 by causing them to spin at dangerous speeds while feeding false “normal” data to operators.

Another example is the Industroyer attack by Russia against Ukraine’s energy sector in 2016. Industroyer malware targeted Ukraine’s power grid, using the grid’s own industrial communication protocols to directly open circuit breakers and cut power to Kyiv.

More recently, the Volt Typhoon attack by China against the United States’ critical infrastructure, exposed in 2023, was a campaign focused on pre-positioning. Unlike traditional sabotage, these hackers infiltrated networks to remain dormant and undetected, gaining the ability to disrupt the United States’ communications and power systems during a future crisis.

To defend against these types of attacks, the U.S. military’s Cyber Command has adopted a “defend forward” strategy, actively hunting for threats in foreign networks before they reach U.S. soil.

Domestically, the Cybersecurity and Infrastructure Security Agency promotes “secure by design” principles, urging manufacturers to eliminate default passwords and utilities to implement “zero trust” architectures that assume networks are already compromised.

Supply Chain Vulnerability

Nowadays, there is a vulnerability lurking within the supply chain of the controllers themselves. A dissection of firmware from major international vendors reveals a significant reliance on third-party software components to support modern features such as encryption and cloud connectivity.

This modernization comes at a cost. Many of these critical devices run on outdated software libraries, some of which are years past their end-of-life support, meaning they’re no longer supported by the manufacturer. This creates a shared fragility across the industry. A vulnerability in a single, ubiquitous library like OpenSSL – an open-source software toolkit used worldwide by nearly every web server and connected device to encrypt communications – can expose controllers from multiple manufacturers to the same method of attack.

Modern controllers have become web-enabled devices that often host their own administrative websites. These embedded web servers present an often overlooked point of entry for adversaries.

Attackers can infect the web application of a controller, allowing the malware to execute within the web browser of any engineer or operator who logs in to manage the plant. This execution enables malicious code to piggyback on legitimate user sessions, bypassing firewalls and issuing commands to the physical machinery without requiring the device’s password to be cracked.

The scale of this vulnerability is vast, and the potential for damage extends far beyond the power grid, including transportation, manufacturing and water treatment systems.

Using automated scanning tools, my colleagues and I have discovered that the number of industrial controllers exposed to the public internet is significantly higher than industry estimates suggest. Thousands of critical devices, from hospital equipment to substation relays, are visible to anyone with the right search criteria. This exposure provides a rich hunting ground for adversaries to conduct reconnaissance and identify vulnerable targets that serve as entry points into deeper, more protected networks.

The success of recent U.S. cyber operations forces a difficult conversation about the vulnerability of the United States. The uncomfortable truth is that the American power grid relies on the same technologies, protocols and supply chains as the systems compromised abroad.

The U.S. power grid is vulnerable to hackers.

Regulatory Misalignment

The domestic risk, however, is compounded by regulatory frameworks that struggle to address the realities of the grid. A comprehensive investigation into the U.S. electric power sector my colleagues and I conducted revealed significant misalignment between compliance with regulations and actual security. Our study found that while regulations establish a baseline, they often foster a checklist mentality. Utilities are burdened with excessive documentation requirements that divert resources away from effective security measures.

This regulatory lag is particularly concerning given the rapid evolution of the technologies that connect customers to the power grid. The widespread adoption of distributed energy resources, such as residential solar inverters, has created a large, decentralized vulnerability that current regulations barely touch.

Analysis supported by the Department of Energy has shown that these devices are often insecure. By compromising a relatively small percentage of these inverters, my colleagues and I found that an attacker could manipulate their power output to cause severe instabilities across the distribution network. Unlike centralized power plants protected by guards and security systems, these devices sit in private homes and businesses.

Accounting for the Physical

Defending American infrastructure requires moving beyond the compliance checklists that currently dominate the industry. Defense strategies now require a level of sophistication that matches the attacks. This implies a fundamental shift toward security measures that take into account how attackers could manipulate physical machinery.

The integration of internet-connected computers into power grids, factories and transportation networks is creating a world where the line between code and physical destruction is irrevocably blurred.

Ensuring the resilience of critical infrastructure requires accepting this new reality and building defenses that verify every component, rather than unquestioningly trusting the software and hardware – or the green lights on a control panel.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Read the original article.

News Contact

Author:

Saman Zonouz, Associate Professor of Cybersecurity and Privacy and Electrical and Computer Engineering, Georgia Institute of Technology

Media Contact:

Shelley Wunder-Smith
shelley.wunder-smith@research.gatech.edu

Jan. 21, 2026
Researcher tests improved vacuum chamber

GTRI Research Scientist Darian Hartsell makes adjustments to an improved cryogenic vacuum chamber that helps reduce some common noise sources by isolating ions from vibrations and shielding them from magnetic field fluctuations. (Credit: Sean McNeil, GTRI)

Even very slight environmental noise, such as microscopic vibrations or magnetic field fluctuations a hundred times smaller than the Earth’s magnetic field, can be catastrophic for quantum computing experiments with trapped ions.
 

To address that challenge, researchers at the Georgia Tech Research Institute (GTRI) have developed an improved cryogenic vacuum chamber that helps reduce some common noise sources by isolating ions from vibrations and shielding them from magnetic field fluctuations. The new chamber also incorporates an improved imaging system and a radio frequency (RF) coil that can be used to drive ion transitions from within the chamber. 
 

“There’s a lot of excitement around quantum computing today, and trapped ions are just one of the research platforms available, each with their own benefits and drawbacks,” explained Darian Hartsell, a GTRI research scientist who leads the project. “We are trying to mitigate multiple sources of noise in this chamber and make other improvements with one robust new design.”
 

The chamber design is described in a paper published January 20, 2026 in the journal Applied Physics Letters. Some of the technical improvements developed for the project are already being applied at GTRI and collaborating organizations. This work was done in collaboration with Los Alamos National Laboratory.
 

The goal of the vibration isolation is to reduce the laser amplitude and phase noise when addressing the ions, increasing operation fidelity. The goal of the magnetic field noise reduction is to preserve the coherence of qubits for longer periods of time so researchers can use them for more complex algorithms.

See the complete article on the GTRI news site


 

Jan. 20, 2026
Milton at podium

Milton Mueller speaking at the AI Governance and Global Economic Development, an official pre-summit event of the AI Impact Summit 2026.

Ever since ChatGPT’s debut in 2023, concerns about artificial intelligence (AI) potentially wiping out humanity have dominated headlines. New research from Georgia Tech suggests that those anxieties are misplaced.

“Computer scientists often aren’t good judges of the social and political implications of technology,” said Milton Mueller, a professor in the Jimmy and Rosalynn Carter School of Public Policy. “They are so focused on the AI’s mechanisms and are overwhelmed by its success, but they are not very good at placing it into a social and historical context.”

In the four decades Mueller has studied information technology policy, he has never seen any technology hailed as a harbinger of doom — until now. So, in a Journal of Cyber Policy paper published late last year, he researched whether the existential AI threat was a real possibility. 

What Mueller found is that deciding how far AI can go, and its limitations, is something society shapes. How policymakers get involved depends on the specific AI application. 

Defining Intelligence

The AI sparking all this alarm is called artificial general intelligence (AGI) — a “superintelligence” that would be all-powerful and fully autonomous. Part of the debate, Mueller realized, is that no one could agree on the definition of what artificial general intelligence is. 

Some computer scientists claim AGI would match human intelligence, while others argue it could surpass it. Both assumptions hinge on what “human intelligence” really means. Today’s AI is already better than humans at performing thousands of calculations in an instant, but that doesn’t make it creative or capable of complex problem-solving. 

Understanding Independence 

Deciding on the definition isn’t the only issue. Many computer scientists assume that as computing power grows, AI could eventually overtake humans and act autonomously.

Mueller argued that this assumption is misguided. AI is always directed or trained toward a goal and doesn’t act autonomously right now. Think of the prompt you type into ChatGPT to start a conversation. 

When AI seems to disregard instructions, it’s caused by inconsistencies in its instructions, not by the machine coming alive. For example, in a boat race video game Mueller studied, the AI discovered it could get more points by circling the course instead of winning the race against other challengers. This was a glitch in the system’s reward structure, not AGI autonomy.

“Alignment gaps happen in all kinds of contexts, not just AI,” Mueller said. “I've studied so many regulatory systems where we try to regulate an industry, and some clever people discover ways that they can fulfill the rules but also do bad things. But if the machine is doing something wrong, computer scientists can reprogram it to fix the problem.”

Relying on Regulation

In its current form, even misaligned AI can be corrected. Misalignment also doesn’t mean the AI would snowball past the point where humans lose control of its outcomes. To do that, AI would need to have a physical capability, like robots, to do its bidding, and the power source and infrastructure to maintain itself. A mere data center couldn’t do that and would need human intervention to become omnipotent. Basic laws of physics — how big a machine can be, how much it can compute — would also prevent a super AI. 

More importantly, AI is not one homogenous being. Mueller argued that different applications involve different laws, regulations, and social institutions. For example, the data scraping AI does is a copyright issue subject to copyright laws. AI used in medicine can be overseen by the Food and Drug Administration, regulated drug companies, and medical professionals. These are just a few areas where policymakers could intervene from a specific expertise level instead of trying to create universal AI regulations. 

The real challenge isn’t stopping an AI apocalypse — it’s crafting smart, sector-specific policies that keep technology aligned with human values. To avoid being a victim of AI, humans can, and should, put up focused guardrails. 

News Contact

Tess Malone, Senior Research Writer/Editor

tess.malone@gatech.edu

Jan. 12, 2026
Georgia Tech student Yash Rajgure using an Apple Vision Pro headset device to demo his team's project.

Georgia Tech student Yash Rajgure using an Apple Vision Pro headset device to demo his team's project in ECE 6001 Technology Entrepreneurship: Teaming, Ideation, and Entrepreneurship. Photo: Allison Carter, Georgia Tech

Alex Gallmon showing how Apple Vision Pro can be utilized

Gallmon showing how Apple Vision Pro can be utilized to train students and workers on sensitive and expensive technical equipment, in this case a cleanroom vacuum system.

Learning electrical and computer engineering has always come with a unique challenge: many of its foundational concepts — electric fields, magnetic forces, semiconductor behavior — are invisible to the naked eye and difficult to visualize.  

To make these invisible principles tangible, students in the School of Electrical and Computer Engineering have long used specialized tools and software. Circuit simulators model voltage and current, electromagnetic tools visualize fields, and semiconductor design platforms reveal transistor behavior. These tools turn abstract theory into interactive experiences that prepare students for real-world engineering challenges.

Now, Apple Vision Pro is joining this ecosystem.

The technology introduces spatial computing to learning environments, blending digital content with the physical world.

At the Institute for Matter and Systems, infrastructure lead Alex Gallmon, is collaborating with students and industry partners to create immersive digital twins—virtual models that replicate real-world systems—of semiconductor cleanroom equipment.  

“These machines are complex and costly, with parts that can run tens of thousands of dollars,” he said. “Even minor mistakes during operation can lead to expensive damage or downtime.” 

Gallmon's team built a virtual replica of a cleanroom vacuum training system. The project serves as a prototype for a workforce development program aimed at high school and college students interested in careers in the semiconductor or vacuum technology fields. 

Read the full story from the School of Electrical and Computer Engineering

News Contact

Dan Watson | School of Electrical and Computer Engineering

Jan. 16, 2026
A real worm in a Petri dish (top left) and a robot worm (bottom right) clean their environments of tiny particles in a very similar manner.

A real worm in a Petri dish (top left) and a robot worm (bottom right) clean their environments of tiny particles in a very similar manner.

When centimeter-long aquatic worms, such as T. tubifex or Lumbriculus variegatus, are placed in a Petri dish filled with sub-millimeter sized sand particles, something surprising happens. Over time, the worms begin to spontaneously clean up their surroundings. They sweep particles into compact clusters, gradually reshaping and organizing their environment.

In a study recently published in Physical Review X, a team of researchers show that this remarkable sweeping behavior does not require a brain, or any kind of complex interaction between the worms and the particles. Instead, it emerges from the natural undulating motion and flexibility that the worms possess.

The study was co-led by Saad Bhamla, associate professor in Georgia Tech’s School of Chemical and Biomolecular Engineering, and Antoine Deblais of the University of Amsterdam.

Deblais said: “It is fascinating to see how living worms can organize their surroundings just by moving.” Bhamla added: “Their activity and flexibility alone are enough to collect particles and reshape their environment.”

By building simple robotic and computer models that mimic the living worms, the researchers discovered that only these two ingredients – activity and flexibility – are sufficient to reproduce the sweeping and collecting effects. The result is a self-organized, dynamic form of environmental restructuring driven purely by motion and shape.

Order emerges

The results do not just teach us a surprising lesson about worms. Understanding how these organisms spontaneously collect particles has much broader implications. On the technological side, what the researchers have learned could inspire the design of soft robots that clean or sort materials without needing sensors or pre-programmed intelligence. 

Such robots, like the worms, would simply move and let order emerge from motion. “Brainless” machines of this sort could perhaps one day help remove microplastics or sediments from aquatic environments, or perform complex tasks in unpredictable terrains. 

From a biological perspective, the results also offer insights into how elongated living organisms – not just worms, but also filamentous bacteria, or cytoskeletal filaments – can structure and modify their own habitats through simple physical interactions. Understanding this structuring and modifying behaviour has been a central question for, e.g., earthworms in their role in soil aeration.

From a biological perspective, the results also offer insights into how elongated living organisms – not just worms, but also filamentous bacteria, or cytoskeletal filaments – can structure and modify their own habitats through simple physical interactions. Understanding this structuring and modifying behaviour has been a central question for, e.g., earthworms in their role in soil aeration.

Team effort

This project grew out of curiosity about how living systems shape their environment without centralized control. Initial experiments with worms, conducted by Harry Tuazon (Bioengineering PhD 2024) at Georgia Tech, showed the unexpected particle collection patterns. This led the team to attempt to reproduce the behavior using robotic and simulated counterparts – something that worked surprisingly well. In the project, experimentalists and theorists worked side by side, allowing the team to uncover the physical principles behind this seemingly purposeful behavior. 

Co-first author Rosa Sinaasappel conducted the robot experiments at the University of Amsterdam. “By mimicking the worms’ motion with simple brainless robots connected by flexible rubber links, we could pinpoint the two ingredients that are essential for the sweeping mechanism,” she said.

Co-first author Prathyusha Kokkoorakunnel Ramankutty, a research scientist in the Bhamla Lab at Georgia Tech, performed the computer simulations of the behavior. “Our computational model, built on simple ingredients like propulsion and flexibility, shows that this principle works across different scales and can be adapted for new designs, as demonstrated by a soft robotic sweeper that autonomously ‘cleans’ and reorganizes particles without programmed intelligence,” she explained.

The researchers will continue to investigate this type of behaviour in the future. While a mathematical model of active sweeping is now presented in a simple form, many challenging questions raised by this complex system remain open for theoreticians.

Multiple groups of students helped greatly with the robot experiments, doing projects in the lab. Their efforts ranged from performing the experiments to replacing the in total about 200 batteries, after perhaps one of the most difficult tasks: wrestling them free from the child-proof packaging.

CITATION:

Particle Sweeping and Collection by Active and Living Filaments, Sinaasappel, R., Prathyusha, K. R., Tuazon, Harry, Mirzahossein, E., Illien, P., Bhamla, Saad, and A. Deblais. Physical Review X (2026)

News Contact

Brad Dixon, braddixon@gatech.edu

Subscribe to Research Horizons