On July 5, a Japanese spacecraft soared past an asteroid containing some of the oldest known materials in the solar system. A Georgia Tech researcher helped guide the mission.

The Japan Aerospace Exploration Agency’s (JAXA) Hayabusa2 Extended Mission conducted a flyby of the asteroid Torifune. Toshi Hirabayashi, associate professor in the Daniel Guggenheim School of Aerospace Engineering and a member of the Space Research Institute, helped select the target asteroid and developed the spacecraft’s final orientation and trajectory for the encounter. The mission marked the world’s first successful use of a laser altimeter during a high-speed flyby of a small celestial body. Hirabayashi was in Japan for the operation.

Traveling at nearly 5 kilometers per second, the spacecraft captured visible and infrared images of Torifune, documenting its unique shape and surface and revealing evidence of geological diversity. The asteroid resembles a dumbbell, with two chunks connected by a neck obscured in shadow. 

The spacecraft also detected data signals from the laser altimeter and the near-infrared spectrometer. The laser altimeter received two data points, and the near-infrared spectrometer detected multiple points during a narrow observation window. Researchers hope the observations will help them better determine the flyby conditions at high accuracy and understand how asteroids evolve and what they can reveal about the earliest days of the solar system.

Hirabayashi previously contributed to JAXA’s landmark mission that returned asteroid samples to Earth. But the Torifune flyby presented a different set of challenges.

“The spacecraft was not designed for flyby operations, so there are many constraints,” he said. “It was necessary to develop a new strategy to maximize science data acquisition.”

The knowledge gained from the mission could strengthen international planetary defense efforts. The data will help scientists better understand how asteroids move through space and how to observe them effectively. The researchers hope Torifune will offer insights not only into the origins of planets but also into how humanity can better prepare for future asteroid threats.

"Planetary defense is a critical aspect for the public," Hirabayashi said. "Georgia experienced an airburst [when a meteoroid bursts mid-air] event in 2025. While the event was small, a larger event may get people hurt. Hayabusa2's flyby experience will be critical for acquiring the knowledge and skills needed to better observe such a potential threat.”

This research is funded by the Space Research Institute. 

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Artificial intelligence is reshaping how businesses operate and driving a historic surge in data center construction across the United States. These sprawling facilities, sometimes spanning more than 1,000 acres, represent one of the largest waves of capital investment in American history.
 

For communities across the country, this growth hits close to home, and not without controversy. What do data centers actually deliver for the local economies that host them?
 

New research from Daniel Yue, assistant professor of Information Technology Management at Georgia Tech’s Scheller College of Business, and his co-author, Yiyang Zeng, examines how data center openings affect local jobs, wages, business activity, and electricity prices. Their findings suggest that geography plays a decisive role in whether communities see meaningful economic gains.
 

“Enormous amounts of capital are flowing into specific communities, much of it tied to new construction, while rigorous evidence on the local benefits of these facilities has been thin,” said Yue. “Community pushback has organized rapidly across the country. Our paper begins to fill that gap by providing new evidence using detailed, facility-level data paired with county-level economic indicators.”

A Historic Investment Wave

There are more than 2,500 data centers, either active or under construction, across the United States. Individual hyperscale facilities often cost more than $1 billion to construct and can consume as much electricity as a small city. Is it all worth it?

On average, Yue and Zeng found that when a data center opens, the host county sees a measurable lift: Employment rises by about 3.5%, wages by 5%, business establishments by nearly 5%, and household income by about 2%. Building permits also increase sharply, reflecting construction activity tied to new facilities.

These are real, economically meaningful gains. But Yue and Zeng discovered that these gains are much smaller than what might be expected from a large investment. And they’re not evenly distributed.

Why Metro Areas Benefit More

The researchers’ clearest finding is that metropolitan areas capture most of the economic benefits from data centers, while rural areas see far fewer spillover effects. While metro counties saw increases in employment and new business growth, non-metro counties saw no measurable gains.

The reason comes down to what economists call “agglomeration,” or economic density.

Data centers don’t operate in isolation. They rely on construction contractors, engineers, equipment suppliers, professional services, and a skilled workforce. Those connections are far easier to build in places that already have deep labor markets and established business networks.

Metropolitan areas are well-positioned to absorb the indirect spending that data centers generate. High-wage technical employees support restaurants, retail, and local services. Suppliers and contractors can scale up quickly. These spillover effects amplify the impact of the initial investment.

In rural areas, that amplification is much harder to achieve. Facilities tend to employ relatively few permanent workers — often fewer than 100 — and many specialized services are imported from outside the county. As a result, the broader economic ripple never materializes.

That doesn’t mean rural communities see no benefit at all. The research finds a small but real drop in unemployment rates in non-metro counties, and local governments may still gain tax revenue or infrastructure investments. But the sweeping job and wage growth often promised during local recruitment efforts will not likely arrive on its own.

“Location, not facility size, determines whether the local benefits show up,” Yue said.

The Hidden Cost: Electricity Prices

Yue and Zeng’s research also uncovers an important trade-off. Data centers use a lot of electricity. A single large facility can use as much power as roughly 80,000 homes. In areas where the researchers can cleanly measure price effects, electricity prices rise by about 5% after a data center enters.

“When the benefits to communities are small, even downsides like higher electricity prices that strain infrastructure will be felt by locals,” Yue shared.

Who pays for the increased cost of electricity isn’t straightforward. Yue and Zeng’s research suggests communities should ask specific questions about who pays for new infrastructure and how those costs will be distributed. Local utility companies divide costs differently among homeowners, businesses, and large industrial users, including data centers. Because cost-sharing systems vary by state, each data center development is unique.

What Communities Should Consider

As states and cities work to attract or push back against data center construction, Yue and Zeng hope their research will encourage more evidence-based decision-making.

For metro areas with strong labor markets and dense business ecosystems, data centers can deliver meaningful, though not transformative, economic gains. For rural communities, the positive impact is more complicated.

“In 10 years, communities will likely wish they had pressed harder on the quality of the decision itself, including whether the debate was evidence-based, whether their local economy was equipped to capture the gains, and whether the fine print aligned with residents' long-term interests,” Yue said. “It’s vital that communities look past flashy, headline incentive packages and focus on the details: tax abatement structures, electricity tariff arrangements, and who ultimately pays for infrastructure upgrades.”

As data centers continue to dot the American landscape, understanding where they create shared value — and where they don’t — will be critical for community leaders and policymakers alike.
 
Read More: The Local Economic Effects of Data Center Entry

Nature is beautiful, powerful and essential. But nature is not always gentle. The same biological world that gives rise to forests, coral reefs and human life also produces infections, cancer, genetic disease, crop blights and toxins. Natural processes can heal, sustain and inspire, but they can also destroy.

That dichotomy is part of what drives the field of synthetic biology: where scientists apply engineering principles to learn from and carefully adapt nature’s biological systems to address human problems. By understanding biological systems, scientists can carefully redirect them when natural processes cause harm.

This principle has shaped my work as a biomedical engineer for over two decades. My lab studies how to program cells in order to better understand their behavior and ultimately use them as medicine. The goal is not to discard or replace nature, but to learn from biological principles and use that knowledge to responsibly help society.

Researchers announced on July 2, 2026, that they had created the first synthetic cell built from purified, nonliving components.

The lab’s cell-like system, dubbed SpudCell, raises key questions: What does it take to build a cell from scratch? If scientists assemble something that feeds, grows, copies genetic material and divides, have they created life?

How to Create Cells From Scratch

Natural cells are astonishingly complicated. Researchers want to use synthetic cells to learn more about how life works, and they are doing this by rebuilding some of life’s basic features in a simpler, more understandable form.

Earlier designs of minimal cells, used to test which components are necessary for lifelike behavior, began with existing living cells and reduced the size of their genomes. A minimal cell is useful because it is simple, but that simplicity comes at a cost. It may reveal which parts are needed for lifelike behavior, but it usually lacks the autonomy, resilience, metabolism and evolutionary capacity of natural cells.

Instead, synthetic cells are built through a bottom-up engineering approach. Scientists start with a simplified compartment – a kind of biological “box” – and ask what must be added for it to behave more like a living cell. A membrane separates the inside from the outside. Genetic material stores instructions. Molecular machinery reads those instructions to make molecules. Energy sources power reactions. Other components can allow growth, division and adaptation.

A useful way to think about synthetic cells is to compare them with technologies society already depends on. The radio wasn’t invented all at once. Engineers learned how to combine an antenna, tuner, amplifier, power source and speaker to convert invisible electromagnetic waves into sound. A car is not just a metal shell; it becomes transportation only when a frame is connected to wheels, brakes, steering, an engine, and transmission and control systems. A computer began with switches and strings of ones and zeros that could be assembled into circuits capable of storing and processing information.

Similarly, SpudCell was assembled from the bottom up with purified, nonliving parts. Researchers used lipid molecules to create a cell-like membrane, DNA molecules to store genetic instructions, purified enzymes to copy and read those instructions, and other molecular machinery to help build proteins and other molecules from small chemical building blocks, such as amino acids and nucleotides.

SpudCell is exciting scientists because it appears to bring several features of life together in one system. The researchers describe it as capable of feeding, growth, genome replication, genetically encoded division and something close to evolution. These features resemble a biological cell cycle.

Close to Life, But Not Quite

While SpudCell is an important milestone in the field, it stops short of being a fully synthetic living cell. A membrane-bound compartment containing DNA is not automatically a living cell, just as a pile of car parts is not a car.

SpudCell can carry out several life-like processes, but it is not independent. It still relies on carefully controlled laboratory conditions and on researchers to supply its molecular machinery. It doesn’t reliably pass on its genetic material or spontaneously evolve the way natural cells do.

To approach life, a synthetic cell must coordinate many processes at once. NASA describes life as a “self-sustaining chemical system capable of Darwinian evolution,” meaning it must independently use energy, copy information, grow, divide, respond to its surroundings and persist over time. Natural cells do this with extraordinary reliability because they are the products of billions of years of evolution.

SpudCell still falls short of that standard. It depends on researchers to continuously supply it with the molecular machinery to function and to physically help it divide. It also cannot reproduce indefinitely outside a carefully controlled laboratory environment. In other words, SpudCell may have been built rather than born, but it is not yet autonomous life.

That limitation does not make the achievement unimportant. In fact, it is scientifically valuable precisely because it exposes what is still missing to create life. Which parts are essential? Which processes must be coordinated? How much complexity is necessary before chemistry begins to look like biology?

Why Create Synthetic Cells?

Those questions have practical importance. Answering them can help scientists and engineers design safer biological systems for a wide range of industries.

Synthetic cells allow scientists to more cleanly test how the surrounding membrane separates the inside of a cell from its environment, how genetic instructions are read, how energy is used, and how growth and division are coordinated. These cell-like systems could eventually become simplified test beds for studying biological circuits, disease mechanisms and the origins of life.

They could also help scientists build safer systems for making medicines, fuels or materials, detecting environmental toxins, or delivering therapies without relying on fully living organisms.

More broadly, synthetic biology connects medicine and biotechnology: Viruses can be redesigned into vaccines or gene therapy, immune cells can be reprogrammed to recognize cancer, and microbes can be engineered to make useful molecules, such as insulin, or detect pollutants.

Similarly, researchers could use synthetic cells to deliver a drug only to diseased tissue, or create microbial systems that detect toxins or pathogens in water. They can also act as simplified biological factories that can make medicines without requiring a fully living organism, or as biosensors providing early warning of dangerous threats, such as bioweapons.

Creating Life Responsibly

The philosophical question “Is SpudCell alive?” may not have a simple yes or no answer.

Depending on whether your definition of life emphasizes metabolism, reproduction, evolution, autonomy or cellular organization, the boundary between living and nonliving can look very different.

Life is not defined by one property alone. Viruses contain genetic information but depend on host cells to reproduce. Mitochondria perform essential metabolism but cannot live independently outside of cells. A seed can remain dormant for years before resuming growth.

When synthetic biology is guided by a strong sense of responsibility, scientists can learn how to redirect harmful processes, build safer tools and help society. This requires not only asking whether biological systems can be built, but also whether their creation should be controlled, where they should function and what safeguards are needed.

Over the past two decades, scientists have built many kinds of biological kill switches – that is, genetic circuits that can shut down engineered cells under specific conditions. Some researchers have made cells dependent on a specific nutrient. Others have created cells that can survive only in a particular environment or activate self-destructive pathways when conditions change.

Kill switches are not magic off buttons and do not replace careful regulation, physical containment or public oversight. But they are an important example of synthetic biology’s moral compass: to not only build useful biological tools, but to build them with safety, accountability and humility in mind.

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

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Sam Shelton, founding director of the Strategic Energy Institute (SEI), longtime professor in the George W. Woodruff School of Mechanical Engineering, and designer of the torch for the 1996 Atlanta Olympic Games, passed away on June 20, 2026. 

Colleagues and friends remember Shelton as a dedicated mentor, collaborator, and educator, whose curiosity, generosity, and sense of humor left a lasting impression on students and peers.

“Sam exemplified the very best of Georgia Tech, and his legacy will continue to inspire generations of engineers and educators,” said Tim Lieuwen, executive vice president for Research at Georgia Tech. “I am deeply grateful for his friendship, mentorship, and leadership. My heartfelt condolences go to his family, and to the many students, colleagues, and friends whose lives he touched.”

A nationally recognized leader in energy systems, Shelton founded SEI as an interdisciplinary organization that brought together engineers, researchers, policy experts, and industry leaders to advance high-impact energy solutions. That vision remains central to SEI’s mission and continues to guide its work today.

“Sam was the quintessential engineer and innovator, whose vision was always accompanied by the development and demonstration of actual products instead of leaving them as promising concepts,” said Srinivas Garimella, Hightower Chair in the College of Engineering and professor in the George W. Woodruff School of Mechanical Engineering. “He had the rare ability to see through nebulous ideas and claims and get to the fundamental engineering truths. I am fortunate to have had the opportunity to seek his advice, which he freely gave. I will miss his friendship and counsel very much.”

During a career of more than 35 years, Shelton made lasting contributions to sustainable energy and engineering innovation. His work spanned combustion research, solar energy technologies, and offshore wind systems. He secured more than $30 million in research funding, held eight patents, founded two energy-focused companies, and helped translate research into real-world energy solutions.

In addition to his research, Shelton was deeply committed to education. During his academic career, he developed undergraduate and graduate courses in energy technology, teaching both in person and online. His Energy 101 course reached tens of thousands of learners through a massive open online course platform, covering topics such as energy supply, independence, economics, and society’s energy demands.

“When I first started at SEI in 2016, Sam and I would meet for lunch to discuss the latest research, consider how far we've come since the Carter administration, and grapple over the world’s energy problems,” said Rich Simmons, SEI’s director of Research and Studies. “Sam was genuine and objective, not working backward from a preconceived notion, but working forward with an open mind to understand, appreciate, and apply the first and second law. He was also colorful and witty! We are all privileged to pay these lessons forward to future energy students.” 

Beyond academia, Shelton’s engineering expertise reached a global stage as the designer of the Olympic torch for the 1996 Atlanta Games, an enduring symbol of innovation recognized worldwide. “The Olympics represented world peace, mankind coming together, and overcoming adversity. It was an amazing event to think about, to witness, to live through, and be a part of helping to create it,” Shelton said in a 2016 interview.

Shelton is survived by his daughters, Suzie and Stacy, three granddaughters, and a wide network of students, colleagues, and collaborators. His legacy continues through the programs he built, partnerships he fostered, and the people he helped.

A memorial service celebrating Shelton’s life will be held Aug. 1 at 1 p.m. at The 57th Fighter Group Restaurant in Atlanta. The family asks that, in lieu of flowers, memorial gifts be directed to Roll Call, Georgia Tech’s Fund for Excellence. Donations may be made at gtalumni.org/SamShelton.

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Energy resilience broadens the scope of urban policy

Housing and transportation are top priorities for many city mayors, policymakers and public policy researchers—including Brian An, an assistant professor at Georgia Tech’s Jimmy and Rosalynn Carter School of Public Policy. But in February 2021, soon after Winter Storm Uri wreaked havoc in Texas, an eight-hour power outage at his Atlanta home became an epiphany.

“While housing stability had long been on my mind, losing power drove home the importance of another piece of urban infrastructure: reliable access to electricity,” says An, an EPIcenter faculty affiliate and co-director of the Center for Urban Research. “It sparked my interest in studying the intersection of energy and urban policy to help make cities and communities not only socially equitable but also resilient to extreme weather.”

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The house in the distance, with a red, hip-shaped roof and white walls, tells Radu Casapu that this place is probably somewhere in Spain or Portugal. 

The surrounding trees resemble those of a eucalyptus forest, which could indicate northern Portugal or the Spanish region of Galicia.

It’s the signposts on the road that give it away. They are flat and wide, which is common in Spain but not in Portugal.

Casapu, a master’s student in Georgia Tech’s School of City and Regional Planning, correctly reasons that the picture of a road he’s looking at is in Galicia.

Give Casapu a photo, and he will likely be able to tell you where it was taken. 

“I start with infrastructure clues that are specific to a country, region, state or province,” Casapu said. “They include roads or electricity poles, which often remain consistent throughout a country. Once you narrow down the country, you can use more specific factors like vegetation, specific landscapes, or architecture, because these are very nuanced. It’s a top-down approach.”

This is why Casapu is the reigning GeoGussr World Champion — and the ideal expert to test vision-language models (VLMs) on how good they are at geolocation.

GeoGuessr is a geography browser game launched in 2013 that invites players to guess the location of random Google Street View images. Casapu was already known as one of the top players in the world before he won the third annual GeoGussr World Championship in September.

At the beginning of the spring 2025 semester, School of Interactive Computing professor James Hays reached out to Casapu and invited him to collaborate on a new project. Hays was looking to create a dataset to evaluate VLMs' geolocation ability and reasoning. 

“VLMs are surprisingly good at geolocation right out of the box, even when they’re not trained to be good at it,” Hays said.

Hays and his colleagues, associate professors Alan Ritter and Wei Xu, took issue with many AI companies claiming that the VLMs they were releasing were not good at geolocation.

“When Open AI released GPT 4 Vision, there were privacy concerns about the model’s ability to geolocate someone based on photos they’ve shared on the internet,” Ritter said. “Open AI said this wasn’t a concern and claimed the model wasn’t good at geolocation beyond being able to recognize a city or famous monument. We found that wasn’t the case. These VLMs are state-of-the-art at image geolocation tasks.”

Show Your Work

Hays and Ritter enlisted a team of some of the world’s top geolocators. It consisted of Casapu, Joshua Diao, a master’s student in computer science, and Tejas Santanam, a Ph.D. student in industrial engineering. They each received 500 images to geolocate.

Team members recorded their reasons for each of their answers. The result was GeoRC, the first benchmark for VLM geolocation performance, consisting of 800 “ground truth” reasoning chains. 

Hays and Ritter gave the same images to GPT 5, Gemini, Llama, and Qwen. The highest-performing model geolocated with 90% accuracy — not far off from the team’s 96% score.

However, a major distinction showed up in the reasoning chains. While Casapu and Diao provided clear explanations for how they deduce each location, the VLMs either couldn’t provide reasoning for their guesses or were vague in their answers.

“The research community has been demanding explanations from these models,” Hays said. “For example, how do they know the location is in Italy?”

Hays has been researching this subject for almost 20 years. As a Ph.D. student at Carnegie Mellon University in 2008, he was the first researcher to take a machine learning approach to geolocation. He introduced a new algorithm that could estimate a geographic location from a single image.

“When experts have audited these reasoning chains, we’ve noted many suspicious or hallucinated attributes,” he said. “When they hallucinate a geographic property, why is it so often consistent with the correct guess?

“I believe they’re not revealing the true reasoning pathway that they used to determine the image was Italy. They’re just implicitly recognizing that it was Italy for many reasons, then hunting for evidence to support that. Some of the things they say are true and supported by the image, and some are fabrications.”

Practice Partner

Casapu said there may be only a handful of GeoGuessr players who can currently outperform some top-tier VLMs in geolocation, and it may not be long before no one can.

“I think it could be more difficult playing against these models than playing against another human because a human has the possibility of making mistakes at the top level,” Casapu said. “If a well-trained model has that level of consistency, that is far beyond a normal person, and it would be much more difficult to beat.”

He added that working with Hays and competing against a machine improved his skill level and provided valuable practice ahead of the world championship. 

“It helps to take a step back and see why you’re making the guesses that you are,” he said. “Since then, I’ve taken a more methodical approach to how I practice. Writing these things down is a great way to see what you know and see why you make the guesses that you do. It’s been a great training tool.”

Casapu will defend his title at the 2026 GeoGussr World Championship in September.

Hays, Ritter, Xu, Casapu, Diao, and Santanm are all co-authors of a paper on GeoRC along with lead author Mohit Talrej and Ph.D. students Ethan Mendes and Jim Thannikary. The paper will be presented next week at the 64th Annual Meeting of the Association for Computational Linguistics (ACL) in San Diego.

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Good sleep is essential for brain health. During sleep and rest, the glymphatic system, the brain’s waste clearing process, helps remove metabolic waste that accumulates during awake hours. This activity is linked to memory processing, cognitive function, and neural recovery. When sleep quality is poor, metabolic waste may accumulate, potentially disrupting cognitive function and memory formation.

Traditional approaches to brain monitoring are often invasive, costly, and limited to clinical settings. New research from Georgia Tech points to a more accessible approach. A recent study published in Science Advances shows that a soft, wireless wearable device could help enable home-based monitoring of physiological changes associated with sleep and brain health.

The research team, led by W. Hong Yeo, Peterson Endowed Professor in the Woodruff School of Mechanical Engineering and director of the Wearable Intelligent Systems and Healthcare Center and the Korea KIAT-Georgia Tech Semiconductor Electronics Center, developed a wearable device that uses light-based sensing and wireless communication to support natural sleep monitoring at home. The device is designed to collect data outside of a clinical environment, allowing researchers to study sleep in a more comfortable and realistic setting.

“This paper introduces the first soft, wireless, and non-invasive wearable near-infrared spectroscopy system capable of continuously monitoring brain water and glymphatic clearance dynamics in a natural home sleep environment, overcoming the restrictive, costly, and invasive limitations of traditional methods like MRI and polysomnography,” Yeo said.

The device works by emitting LED light at specific wavelengths. That light interacts with tissue and fluid near the brain, and reflected signals are detected by a photodetector placed on the skin. The collected data is then transmitted wirelessly via Bluetooth to a nearby device for analysis.

The researchers note that the optical measurements can be influenced by factors beyond brain-related fluid changes. Breathing depth, slight shifts in forehead pressure, body position, motion, and temperature drift can all affect the signal. 

For that reason, the team focused on changes and trends over time rather than claiming precise measurements of brain water content. They also emphasize that some of the measured signal may reflect effects from the skin, scalp, device pressure, or movement, in addition to changes associated with the brain.

By making sleep monitoring more comfortable and accessible, this soft wearable technology could help advance future studies of sleep, glymphatic activity, and brain health in real-world settings. The Wearable Intelligent Systems and Healthcare Center is supported by the Institute for Matter and Systems at Georgia Tech. 

DOI: 10.1126/sciadv.aed2056

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EPIcenter Faculty Affiliates have recently contributed to more than a dozen news broadcasts, public radio interviews, and national media conversations on energy price trends, the war in Iran, and what these mean for everyday Americans.

Communities across Georgia and the nation are navigating a range of economic and energy-related pressures. Gas prices, inflation, and the rapid growth of data centers are shaping the cost of goods and services, influencing everyday household financial decisions.

At the same time, ongoing geopolitical tensions are driving fluctuations in global oil markets and fuel prices. The expansion of AI data centers is also increasing demand for land, power, and water resources. And conflicts involving energy infrastructure in parts of the Middle East and Europe have affected supply stability.

Responding to these challenges requires careful analysis of emerging trends, supported by strong research in policy and economics. Faculty Affiliates of Georgia Tech’s Energy Policy and Innovation Center study these complex, interconnected issues affecting energy systems, costs, and access. They analyze emerging trends, evaluate policy options, and identify practical pathways forward.

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