A first-of-its-kind algorithm developed at Georgia Tech is helping scientists study interactions between electrons. This innovation in modeling technology can lead to discoveries in physics, chemistry, materials science, and other fields.

The new algorithm is faster than existing methods while remaining highly accurate. The solver surpasses the limits of current models by demonstrating scalability across chemical system sizes ranging from large to small. 

Computer scientists and engineers benefit from the algorithm’s ability to balance processor loads. This work allows researchers to tackle larger, more complex problems without the prohibitive costs associated with previous methods.

Its ability to solve block linear systems drives the algorithm’s ingenuity. According to the researchers, their approach is the first known use of a block linear system solver to calculate electronic correlation energy.

The Georgia Tech team won’t need to travel far to share their findings with the broader high-performance computing community. They will present their work in Atlanta at the 2024 International Conference for High Performance Computing, Networking, Storage and Analysis (SC24).

[MICROSITE: Georgia Tech at SC24] 

“The combination of solving large problems with high accuracy can enable density functional theory simulation to tackle new problems in science and engineering,” said Edmond Chow, professor and associate chair of Georgia Tech’s School of Computational Science and Engineering (CSE).

Density functional theory (DFT) is a modeling method for studying electronic structure in many-body systems, such as atoms and molecules. 

An important concept DFT models is electronic correlation, the interaction between electrons in a quantum system. Electron correlation energy is the measure of how much the movement of one electron is influenced by presence of all other electrons.

Random phase approximation (RPA) is used to calculate electron correlation energy. While RPA is very accurate, it becomes computationally more expensive as the size of the system being calculated increases.

Georgia Tech’s algorithm enhances electronic correlation energy computations within the RPA framework. The approach circumvents inefficiencies and achieves faster solution times, even for small-scale chemical systems.

The group integrated the algorithm into existing work on SPARC, a real-space electronic structure software package for accurate, efficient, and scalable solutions of DFT equations. School of Civil and Environmental Engineering Professor Phanish Suryanarayana is SPARC’s lead researcher.

The group tested the algorithm on small chemical systems of silicon crystals numbering as few as eight atoms. The method achieved faster calculation times and scaled to larger system sizes than direct approaches.

“This algorithm will enable SPARC to perform electronic structure calculations for realistic systems with a level of accuracy that is the gold standard in chemical and materials science research,” said Suryanarayana.

RPA is expensive because it relies on quartic scaling. When the size of a chemical system is doubled, the computational cost increases by a factor of 16. 

Instead, Georgia Tech’s algorithm scales cubically by solving block linear systems. This capability makes it feasible to solve larger problems at less expense. 

Solving block linear systems presents a challenging trade-off in solving different block sizes. While larger blocks help reduce the number of steps of the solver, using them demands higher computational cost per step on computer processors. 

Tech’s solution is a dynamic block size selection solver. The solver allows each processor to independently select block sizes to calculate. This solution further assists in scaling, and improves processor load balancing and parallel efficiency.

“The new algorithm has many forms of parallelism, making it suitable for immense numbers of processors,” Chow said. “The algorithm works in a real-space, finite-difference DFT code. Such a code can scale efficiently on the largest supercomputers.”

Georgia Tech alumni Shikhar Shah (Ph.D. CSE 2024), Hua Huang (Ph.D. CSE 2024), and Ph.D. student Boqin Zhang led the algorithm’s development. The project was the culmination of work for Shah and Huang, who completed their degrees this summer. John E. Pask, a physicist at Lawrence Livermore National Laboratory, joined the Tech researchers on the work.

Shah, Huang, Zhang, Suryanarayana, and Chow are among more than 50 students, faculty, research scientists, and alumni affiliated with Georgia Tech who are scheduled to give more than 30 presentations at SC24. The experts will present their research through papers, posters, panels, and workshops. 

SC24 takes place Nov. 17-22 at the Georgia World Congress Center in Atlanta. 

“The project’s success came from combining expertise from people with diverse backgrounds ranging from numerical methods to chemistry and materials science to high-performance computing,” Chow said.

“We could not have achieved this as individual teams working alone.”

Y Combinator, known for launching over 5,000 startups including Airbnb, Coinbase, DoorDash, Dropbox, and Zapier, is coming to Georgia Tech’s campus on Tuesday, Nov. 12, at 5 p.m. in the John Lewis Student Center’s Walter G. Ehmer Theater for a panel event hosted by CREATE-X. The panel will feature Y Combinator Group Partner Brad Flora and the founders of Greptile, all Georgia Tech alumni, who will discuss their experiences with the startup accelerator. 

Since tickets are limited, students are encouraged to RSVP for Y Combinator @ Georgia Tech. As a part of the event, students can apply for Office Hours With Flora, which will be held earlier in the day, by answering optional questions in the RSVP form. Y Combinator will notify selected students. The sessions enable students to discuss side projects or startups, startup idea development, finding co-founders, and monetizing products. Confirmed RSVPs are required to attend the event and office hours. 

Y Combinator offers an intensive, three-month program designed to help startups succeed. It provides startups with seed funding, mentorship, and access to a network of investors, industry experts, and alumni.

In 2022, Daksh Gupta and SooHoon Choi participated in CREATE-X Startup Launch and developed Tabnam, which became Greptile after several iterations. Initially, the startup was promoted as an AI shopping assistant that scrapes the internet to tell users what people think about their product. 

In 2023, after they graduated from Georgia Tech, Choi, Gupta, and Vaishant Kameswaran launched the latest version of the startup. Now the AI platform focuses on entire codebases and allows users to query via an API. Through the platform, users chat with their codebases, generate descriptions for tickets, automate PR reviews, and build custom internal tools and automations on top of the API. Over 800 software teams, including Wombo, Metamask, Warp, Exa AI, Bland, and Leya, use Greptile. In June, it had a $4 million seed round. Greptile was part of Y Combinator’s Winter 2024 cohort. 

For those inspired by Greptile’s success and interested in launching their own startup, CREATE-X is currently accepting applications for Summer 2025 Startup Launch. The priority deadline is Sunday, Nov. 17. Early applicants have a higher chance of acceptance, the opportunity for more feedback, and more opportunities to apply if one idea isn’t accepted.

Startup Launch provides mentorship, $5,000 in optional funding, and $150,000 in services to help Georgia Tech students, alumni, faculty, and researchers launch businesses over 12 weeks in the summer. Teams can be interdisciplinary, made up of co-founders even outside of Georgia Tech, and solopreneurs. CREATE-X, as a whole, has had more than 34,000 participants, launched 560 startups, and has generated a total startup portfolio valuation exceeding $2 billion.

School of Mathematics Associate Professor Molei Tao has been honored with a Sony Faculty Innovation Award for his work on the foundations of machine learning, particularly diffusion generative models. The award, which includes a $100,000 grant, is part of an international program sponsored by SONY that provides funding for cutting-edge academic research across a wide range of disciplines.

Tao is an applied and computational mathematician who designs and synergizes mathematical tools to solve practical problems. Recently, he has focused on the applications of these tools to machine learning. Tao works on multiple subareas of machine learning, including deep learning theory, probabilistic methods, generative modeling, and artificial intelligence for science (“AI4Science”). 

"Molei is doing breakthrough work on machine learning and artificial intelligence,” says Mike Wolf, chair of the School of Mathematics. “It is wonderful to see him recognized by Sony, both for his accomplishments so far and also his promise for the future. His unique perspectives, informed by an astonishing deep breadth of understanding of mathematics, have already made him one of the more prominent researchers in this extremely competitive and important field. I know that this award will fuel even more impactful works. We are just thrilled to have Molei on our faculty in the School of Mathematics."

Revolutionizing Generative AI

The award recognizes Tao’s research on the mathematical and algorithmic aspects of diffusion generative modeling, which is considered one of the foundations of modern Generative AI. Using advanced machine learning algorithms, these models have revolutionized the generation of image, video, and 3D content. 

“Exciting products such as ChatGPT, Stable Diffusion, and Sora are generative AI tools, and a good number of them are powered by diffusion models,” explains Tao. “The way the magic works is you basically give a machine learning model a collection of training data, and then the algorithm can generate more content that is similar to the training data. The ability of generating new content is called generative modeling. Diffusion model is one of the latest technologies for generative modeling.”

Tao’s work aims to make diffusion models more versatile and scalable. He hopes to broaden their application and possibly create the next generation of generative modeling tools. 

“The large-scale impact of this research is to make generative AI more accessible, more creative, safer, and more trustworthy,” he adds. 

To learn more about Tao's research, visit his blog or follow him on Twitter at @MoleiTaoMath.

The Institute for Robotics and Intelligent Machines (IRIM) launched a new initiatives program, starting with several winning proposals, with corresponding initiative leads that will broaden the scope of IRIM’s research beyond its traditional core strengths. A major goal is to stimulate collaboration across areas not typically considered as technical robotics, such as policy, education, and the humanities, as well as open new inter-university and inter-agency collaboration routes. In addition to guiding their specific initiatives, these leads will serve as an informal internal advisory body for IRIM. Initiative leads will be announced annually, with existing initiative leaders considered for renewal based on their progress in achieving community building and research goals. We hope that initiative leads will act as the “faculty face” of IRIM and communicate IRIM’s vision and activities to audiences both within and outside of Georgia Tech.

Meet 2024 IRIM Initiative Leads

Stephen Balakirsky; Regents' Researcher, Georgia Tech Research Institute & Panagiotis Tsiotras; David & Andrew Lewis Endowed Chair, Daniel Guggenheim School of Aerospace Engineering | Proximity Operations for Autonomous Servicing

Why It Matters: Proximity operations in space refer to the intricate and precise maneuvers and activities that spacecraft or satellites perform when they are in close proximity to each other, such as docking, rendezvous, or station-keeping. These operations are essential for a variety of space missions, including crewed spaceflights, satellite servicing, space exploration, and maintaining satellite constellations. While this is a very broad field, this initiative will concentrate on robotic servicing and associated challenges. In this context, robotic servicing is composed of proximity operations that are used for servicing and repairing satellites in space. In robotic servicing, robotic arms and tools perform maintenance tasks such as refueling, replacing components, or providing operation enhancements to extend a satellite's operational life or increase a satellite’s capabilities.

Our Approach: By forming an initiative in this important area, IRIM will open opportunities within the rapidly evolving space community. This will allow us to create proposals for organizations ranging from NASA and the Defense Advanced Research Projects Agency to the U.S. Air Force and U.S. Space Force. This will also position us to become national leaders in this area. While several universities have a robust robotics program and quite a few have a strong space engineering program, there are only a handful of academic units with the breadth of expertise to tackle this problem. Also, even fewer universities have the benefit of an experienced applied research partner, such as the Georgia Tech Research Institute (GTRI), to undertake large-scale demonstrations. Georgia Tech, having world-renowned programs in aerospace engineering and robotics, is uniquely positioned to be a leader in this field. In addition, creating a workshop in proximity operations for autonomous servicing will allow the GTRI and Georgia Tech space robotics communities to come together and better understand strengths and opportunities for improvement in our abilities.

Matthew Gombolay; Assistant Professor, Interactive Computing | Human-Robot Society in 2125: IRIM Leading the Way

Why It Matters: The coming robot “apocalypse” and foundation models captured the zeitgeist in 2023 with “ChatGPT” becoming a topic at the dinner table and the probability occurrence of various scenarios of AI driven technological doom being a hotly debated topic on social media. Futuristic visions of ubiquitous embodied Artificial Intelligence (AI) and robotics have become tangible. The proliferation and effectiveness of first-person view drones in the Russo-Ukrainian War, autonomous taxi services along with their failures, and inexpensive robots (e.g., Tesla’s Optimus and Unitree’s G1) have made it seem like children alive today may have robots embedded in their everyday lives. Yet, there is a lack of trust in the public leadership bringing us into this future to ensure that robots are developed and deployed with beneficence.

Our Approach: This proposal seeks to assemble a team of bright, savvy operators across academia, government, media, nonprofits, industry, and community stakeholders to develop a roadmap for how we can be the most trusted voice to guide the public in the next 100 years of innovation in robotics here at the IRIM. We propose to carry out specific activities that include conducting the activities necessary to develop a roadmap about Robots in 2125: Altruistic and Integrated Human-Robot Society. We also aim to build partnerships to promulgate these outcomes across Georgia Tech’s campus and internationally.

Gregory Sawicki; Joseph Anderer Faculty Fellow, School of Mechanical Engineering & Aaron Young; Associate Professor, Mechanical Engineering | Wearable Robotic Augmentation for Human Resilience 

Why It Matters: The field of robotics continues to evolve beyond rigid, precision-controlled machines for amplifying production on manufacturing assembly lines toward soft, wearable systems that can mediate the interface between human users and their natural and built environments. Recent advances in materials science have made it possible to construct flexible garments with embedded sensors and actuators (e.g., exosuits). In parallel, computers continue to get smaller and more powerful, and state-of-the art machine learning algorithms can extract useful information from more extensive volumes of input data in real time. Now is the time to embed lean, powerful, sensorimotor elements alongside high-speed and efficient data processing systems in a continuous wearable device.

Our Approach: The mission of the Wearable Robotic Augmentation for Human Resilience (WeRoAHR) initiative is to merge modern advances in sensing, actuation, and computing technology to imagine and create adaptive, wearable augmentation technology that can improve human resilience and longevity across the physiological spectrum — from behavioral to cellular scales. The near-term effort (~2-3 years) will draw on Georgia Tech’s existing ecosystem of basic scientists and engineers to develop WeRoAHR systems that will focus on key targets of opportunity to increase human resilience (e.g., improved balance, dexterity, and stamina). These initial efforts will establish seeds for growth intended to help launch larger-scale, center-level efforts (>5 years).

Panagiotis Tsiotras; David & Andrew Lewis Endowed Chair, Daniel Guggenheim School of Aerospace Engineering & Sam Coogan; Demetrius T. Paris Junior Professor, School of Electrical and Computer Engineering | Initiative on Reliable, Safe, and Secure Autonomous Robotics 

Why It Matters: The design and operation of reliable systems is primarily an integration issue that involves not only each component (software, hardware) being safe and reliable but also the whole system being reliable (including the human operator). The necessity for reliable autonomous systems (including AI agents) is more pronounced for “safety-critical” applications, where the result of a wrong decision can be catastrophic. This is quite a different landscape from many other autonomous decision systems (e.g., recommender systems) where a wrong or imprecise decision is inconsequential.

Our Approach: This new initiative will investigate the development of protocols, techniques, methodologies, theories, and practices for designing, building, and operating safe and reliable AI and autonomous engineering systems and contribute toward promoting a culture of safety and accountability grounded in rigorous objective metrics and methodologies for AI/autonomous and intelligent machines designers and operators, to allow the widespread adoption of such systems in safety-critical areas with confidence. The proposed new initiative aims to establish Tech as the leader in the design of autonomous, reliable engineering robotic systems and investigate the opportunity for a federally funded or industry-funded research center (National Science Foundation (NSF) Science and Technology Centers/Engineering Research Centers) in this area.

Colin Usher; Robotics Systems and Technology Branch Head, GTRI | Opportunities for Agricultural Robotics and New Collaborations

Why It Matters: The concepts for how robotics might be incorporated more broadly in agriculture vary widely, ranging from large-scale systems to teams of small systems operating in farms, enabling new possibilities. In addition, there are several application areas in agriculture, ranging from planting, weeding, crop scouting, and general growing through harvesting. Georgia Tech is not a land-grant university, making our ability to capture some of the opportunities in agricultural research more challenging. By partnering with a land-grant university such as the University of Georgia (UGA), we can leverage this relationship to go after these opportunities that, historically, were not available.

Our Approach: We plan to build collaborations first by leveraging relationships we have already formed within GTRI, Georgia Tech, and UGA. We will achieve this through a significant level of networking, supported by workshops and/or seminars with which to recruit faculty and form a roadmap for research within the respective universities. Our goal is to identify and pursue multiple opportunities for robotics-related research in both row-crop and animal-based agriculture. We believe that we have a strong opportunity, starting with formalizing a program with the partners we have worked with before, with the potential to improve and grow the research area by incorporating new faculty and staff with a unified vision of ubiquitous robotics systems in agriculture. We plan to achieve this through scheduled visits with interested faculty, attendance at relevant conferences, and ultimately hosting a workshop to formalize and define a research roadmap.

Ye Zhao; Assistant Professor, School of Mechanical Engineering | Safe, Social, & Scalable Human-Robot Teaming: Interaction, Synergy, & Augmentation

Why It Matters: Collaborative robots in unstructured environments such as construction and warehouse sites show great promise in working with humans on repetitive and dangerous tasks to improve efficiency and productivity. However, pre-programmed and nonflexible interaction behaviors of existing robots lower the naturalness and flexibility of the collaboration process. Therefore, it is crucial to improve physical interaction behaviors of the collaborative human-robot teaming.

Our Approach: This proposal will advance the understanding of the bi-directional influence and interaction of human-robot teaming for complex physical activities in dynamic environments by developing new methods to predict worker intention via multi-modal wearable sensing, reasoning about complex human-robot-workspace interaction, and adaptively planning the robot’s motion considering both human teaming dynamics and physiological and cognitive states. More importantly, our team plans to prioritize efforts to (i) broaden the scope of IRIM’s autonomy research by incorporating psychology, cognitive, and manufacturing research not typically considered as technical robotics research areas; (ii) initiate new IRIM education, training, and outreach programs through collaboration with team members from various Georgia Tech educational and outreach programs (including Project ENGAGES, VIP, and CEISMC) as well as the AUCC (World’s largest consortia of African American private institutions of higher education) which comprises Clark Atlanta University, Morehouse College, & Spelman College; and (iii) aim for large governmental grants such as DOD MURI, NSF NRT, and NSF Future of Work programs.

-Christa M. Ernst

CREATE-X Capstone Design offers students a unique opportunity to blend their technical skills with entrepreneurial ambitions. In this interdisciplinary program, teams of students identify real-world problems and develop innovative solutions through customer discovery and hands-on experience. Below we spotlight Team Sustain, a group of students who participated in the Spring 2024 Capstone Expo. Their project focused on bringing convenience to home-cooked meals, showcasing the practical application of their engineering and entrepreneurial skills. Read on to learn about their journey, their challenges, and how you can get involved in CREATE-X Capstone Design.

Team Sustain

Sustain offers a way to crowdsource meals and provide home cooks with a cash incentive. The system includes software for ordering, reviewing, and collecting data and hardware for meal exchange.

Nirmal Karthik, electrical and computer engineering

Soughtout Olasupo-Ojo, computer science

Nathan Kashani, mechanical engineering

Meghan Janicki, electrical and computer engineering

Joseph Nehme-Haily, mechanical engineering

John Mark Page, electrical engineering

Why did you all choose this project?

“One of the main things CREATE-X Capstone encourages us to do is customer discovery. Through our discussions, we realized that many people enjoy home-cooked meals but find them inconvenient to prepare. While most things in life are just a click away, home-cooked meals still require a personal touch. CREATE-X challenged us to find a problem and create a solution, so we focused on making home-cooked meals more convenient,” Page said.

Why CREATE-X Capstone?

“After graduation, I wanted to try my hand at entrepreneurship later. I thought CREATE-X was a good way for me to try and learn entrepreneurship skills: how to run a business, what it looks like, the timeline, and so on. Either way, if it went well or badly, I could say with my heart that I have an idea of how to do entrepreneurship,” Olasupo-Ojo said.

“You can go into a big city like Atlanta and actually feel like you can do something to help people. It is a great benefit, as opposed to being in the technical weeds of an engineering project. Mixing them together has been a great experience,” Janicki said.

“CREATE-X empowers students to think independently and explore projects they’re passionate about. We get to drive our projects and businesses, learning skills firsthand rather than just in theory,” Kashani said.

What was your biggest struggle?

“As engineers, we’re classically, especially in school, already given the problem. So, the challenge was figuring out what the problem was, and if our solution really solves the root cause of the problem. We figured out how to find the problem,” Page said.

“Figuring out the idea was our biggest struggle. We delved into markets to find opportunities and ways to help people,” Kashani said.

What has been your favorite part of this experience?

“The team. Make sure you surround yourself with good people, and I think each of us has done that. That’s what I’m proudest about — our team,” Page said.

What advice would you give to someone considering entrepreneurship?

“Develop the skill sets to see problems and be able to think about them. At the beginning of the semester, we were thinking about solar design and building solar design for farms, and now we are in a completely different space. But we’re still applying the same skills and building something up from it that matters. The most important skill is adaptability,” Janicki said.

“Be ready to make mistakes. You won’t get it right the first, second, or even third time. Customer discovery is a continuous process — don’t let setbacks discourage you,” Olasupo-Ojo said.

“Don’t be afraid to get started. If you’re feeling nervous or unsure, there’s only one way to find out, so I’d say go full force into it,” Kashani said.

CREATE-X Capstone Design is open to senior undergraduate students in mechanical engineering, electrical and computer engineering, industrial and systems engineering, and computer science. Course registration is available for the fall and spring semesters, and the current sections are ME4723-X/X01, CS4723-X/X01, ECE4853 X/LX, BME4723-X/X01, and ISYE4106. 

CREATE-X also offers other programs like Startup Lab and Idea to Prototype, providing students with a foundational entrepreneurial education. For those interested in launching their own ventures, CREATE-X’s 12-week summer accelerator, Startup Launch, offers mentorship, $5,000 in seed funding, and $150,000 of in-kind services. The priority deadline for the accelerator is Nov. 17. Apply for Startup Launch to maximize your chances of acceptance and receive early feedback.

Making Sustain: The Gallery

Kicking off a new decade of startup production at Georgia Tech, CREATE-X hosted its 11th Demo Day, showcasing 100 startups created by Georgia Tech students, faculty, researchers, and alumni over 12 weeks this summer. More than 1,500 attendees, including Georgia government and business leaders, viewed new solutions ranging from fashion to healthcare in a bustling Exhibition Hall on Aug. 29.

The event traditionally begins shortly after the semester starts, giving the entrepreneurially curious a preview of what’s to come if they join the program’s accelerator during the next application cycle.

Demo Day is the culmination of the 12-week summer accelerator, Startup Launch, where founders receive mentorship, $5,000 in optional funding, and $150,000 in services to help build their businesses. Teams can be interdisciplinary, made up of co-founders even outside of Georgia Tech, and solopreneurs, ready to solve real-world problems.

Each year, Startup Launch has grown, from an initial cohort of eight startups to over 100 this year. The Office of Commercialization, the home of CREATE-X, plans to keep expanding opportunities for the Georgia Tech community to grow their entrepreneurial skills.

Counting courses, events, programming, and partnerships, CREATE-X has had more than 32,000 participants. The ultimate goal and mission of the program is to instill entrepreneurial confidence in all Tech students. Rahul Saxena, director of the program, spoke about how far the Institute has come in the last decade. 

“I’ve been plugged into Georgia Tech for over 10 years. In the past, when you said Georgia Tech and entrepreneurship in the same sentence, they’d laugh, believe it or not,” he said. “Fast-forward, we’re one of the top entrepreneurial schools in the country. Our first four cohorts value over $100 million, with one of them being a unicorn, and our last four cohorts are well on their way. We want our students to have as many shots at gold as possible before they graduate. And even if they decide on a traditional career pathway, we believe they’ll be ahead with this entrepreneurial mindset, which is something lacking in corporate.”

This year, CREATE-X reached over 560 startup teams launched. Founders represented 38 academic majors, and their total startup portfolio valuation exceeds $2 billion. 

CREATE-X opened its Startup Launch application for its next cohort on Aug. 30. For those interested, the priority deadline is Nov. 17. Early applicants have a higher chance at acceptance and the opportunity for more feedback. So, send in your applications to Startup Launch and become the next founder at Georgia Tech.

Missed out on Demo Day? Check out the CREATE-X Flickr page to see photos from the event and the Demo Day page to see other teams. For more opportunities to engage, visit the CREATE-X Engage page for upcoming events. 

Spotlight on Startups

Some of the standout startups from this year’s Demo Day include:

For three days, a cybercriminal unleashed a crippling ransomware attack on the futuristic city of Northbridge. The attack shut down the city’s infrastructure and severely impacted public services, until Georgia Tech cybersecurity experts stepped in to stop it. 

This scenario played out this weekend at the DARPA AI Cyber Challenge (AIxCC) semi-final competition held at DEF CON 32 in Las Vegas. Team Atlanta, which included the Georgia Tech experts, were among the contest’s winners.  

Team Atlanta will now compete against six other teams in the final round that takes place at DEF CON 33 in August 2025. The finalists will keep their AI system and improve it over the next 12 months using the $2 million semi-final prize.

The AI systems in the finals must be open sourced and ready for immediate, real-world launch. The AIxCC final competition will award a $4 million grand prize to the ultimate champion.

Team Atlanta is made up of past and present Georgia Tech students and was put together with the help of SCP Professor Taesoo Kim. Not only did the team secure a spot in the final competition, they found a zero-day vulnerability in the contest. 

“I am incredibly proud to announce that Team Atlanta has qualified for the finals in the DARPA AIxCC competition,” said Taesoo Kim, professor in the School of Cybersecurity and Privacy and a vice president of Samsung Research. 

“This achievement is the result of exceptional collaboration across various organizations, including the Georgia Tech Research Institute (GTRI), industry partners like Samsung, and international academic institutions such as KAIST and POSTECH.” 

After noticing discrepancies in the competition score board, the team discovered and reported a bug in the competition itself. The type of vulnerability they discovered is known as a zero-day vulnerability, because vendors have zero days to fix the issue. 

While this didn’t earn Team Atlanta additional points, the competition organizer acknowledged the team and their finding during the closing ceremony. 

“Our team, deeply rooted in Atlanta and largely composed of Georgia Tech alumni, embodies the innovative spirit and community values that define our city,” said Kim. 

“With over 30 dedicated students and researchers, we have demonstrated the power of cross-disciplinary teamwork in the semi-final event. As we advance to the finals, we are committed to pushing the boundaries of cybersecurity and artificial intelligence, and I firmly believe the resulting systems from this competition will transform the security landscape in the coming year!”

The team tested their cyber reasoning system (CRS), dubbed Atlantis, on software used for data management, website support, healthcare systems, supply chains, electrical grids, transportation, and other critical infrastructures.

Atlantis is a next-generation, bug-finding and fixing system that can hunt bugs in multiple coding languages. The system immediately issues accurate software patches without any human intervention. 

AIxCC is a Pentagon-backed initiative that was announced in August 2023 and will award up to $20 million in prize money throughout the competition. Team Atlanta was among the 42 teams that qualified for the semi-final competition earlier this year.