robotics

Georgia Tech to Build $20M National AI Supercomputer

admin — Wed, 16 Jul 2025 18:58:41 +0000

Georgia Tech to Build $20M National AI Supercomputer admin Wed, 07/16/2025 - 14:58

The National Science Foundation (NSF) has awarded Georgia Tech and its partners $20 million to build a powerful new supercomputer that will use artificial intelligence (AI) to accelerate scientific breakthroughs.

Called Nexus, the system will be one of the most advanced AI-focused research tools in the U.S. Nexus will help scientists tackle urgent challenges such as developing new medicines, advancing clean energy, understanding how the brain works, and driving manufacturing innovations.

“Georgia Tech is proud to be one of the nation’s leading sources of the AI talent and technologies that are powering a revolution in our economy,” said Ángel Cabrera, president of Georgia Tech. “It’s fitting we’ve been selected to host this new supercomputer, which will support a new wave of AI-centered innovation across the nation. We’re grateful to the NSF, and we are excited to get to work.”

Designed from the ground up for AI, Nexus will give researchers across the country access to advanced computing tools through a simple, user-friendly interface. It will support work in many fields, including climate science, health, aerospace, and robotics.

“The Nexus system's novel approach combining support for persistent scientific services with more traditional high-performance computing will enable new science and AI workflows that will accelerate the time to scientific discovery,” said Katie Antypas, National Science Foundation director of the Office of Advanced Cyberinfrastructure. “We look forward to adding Nexus to NSF's portfolio of advanced computing capabilities for the research community.”

Nexus Supercomputer — In Simple Terms

Built for the future of science: Nexus is designed to power the most demanding AI research — from curing diseases, to understanding how the brain works, to engineering quantum materials.

Blazing fast: Nexus can crank out over 400 quadrillion operations per second — the equivalent of everyone in the world continuously performing 50 million calculations every second.

Massive brain plus memory: Nexus combines the power of AI and high-performance computing with 330 trillion bytes of memory to handle complex problems and giant datasets.

Storage: Nexus will feature 10 quadrillion bytes of flash storage, equivalent to about 10 billion reams of paper. Stacked, that’s a column reaching 500,000 km high — enough to stretch from Earth to the moon and a third of the way back.

Supercharged connections: Nexus will have lightning-fast connections to move data almost instantaneously, so researchers do not waste time waiting.

Open to U.S. researchers: Scientists from any U.S. institution can apply to use Nexus.

Why Now?

AI is rapidly changing how science is investigated. Researchers use AI to analyze massive datasets, model complex systems, and test ideas faster than ever before. But these tools require powerful computing resources that — until now — have been inaccessible to many institutions.

This is where Nexus comes in. It will make state-of-the-art AI infrastructure available to scientists all across the country, not just those at top tech hubs.

“This supercomputer will help level the playing field,” said Suresh Marru, principal investigator of the Nexus project and director of Georgia Tech’s new Center for AI in Science and Engineering (ARTISAN). “It’s designed to make powerful AI tools easier to use and available to more researchers in more places.”

Srinivas Aluru, Regents’ Professor and senior associate dean in the College of Computing, said, “With Nexus, Georgia Tech joins the league of academic supercomputing centers. This is the culmination of years of planning, including building the state-of-the-art CODA data center and Nexus’ precursor supercomputer project, HIVE."

Like Nexus, HIVE was supported by NSF funding. Both Nexus and HIVE are supported by a partnership between Georgia Tech’s research and information technology units.

A National Collaboration

Georgia Tech is building Nexus in partnership with the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign, which runs several of the country’s top academic supercomputers. The two institutions will link their systems through a new high-speed network, creating a national research infrastructure.

“Nexus is more than a supercomputer — it’s a symbol of what’s possible when leading institutions work together to advance science,” said Charles Isbell, chancellor of the University of Illinois and former dean of Georgia Tech’s College of Computing. “I'm proud that my two academic homes have partnered on this project that will move science, and society, forward.”

What’s Next

Georgia Tech will begin building Nexus this year, with its expected completion in spring 2026. Once Nexus is finished, researchers can apply for access through an NSF review process. Georgia Tech will manage the system, provide support, and reserve up to 10% of its capacity for its own campus research.

“This is a big step for Georgia Tech and for the scientific community,” said Vivek Sarkar, the John P. Imlay Dean of Computing. “Nexus will help researchers make faster progress on today’s toughest problems — and open the door to discoveries we haven’t even imagined yet.”

Subtitle

Summary sentence

Summary

The National Science Foundation has awarded Georgia Tech and its partners $20 million to build a powerful new supercomputer that will use artificial intelligence to accelerate scientific breakthroughs. Called Nexus, the system will be one of the most advanced, AI-focused research tools in the U.S. Nexus will help scientists tackle urgent challenges such as developing new medicines, advancing clean energy, understanding how the brain works, and driving manufacturing innovations.

Dateline

Tue, 07/15/2025 - 12:00

media@gatech.edu

Contact

Siobhan Rodriguez
Senior Media Relations Representative
Institute Communications

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Keywords

National Science Foundation

NSF

Georgia Tech

supercomputer

Nexus

artificial intelligence

scientific breakthroughs

hpc

clean energy

brain research

medicine development

manufacturing innovation

AI infrastructure

scientific discovery

persistent scientific services

quantum materials

climate science

health research

aerospace

robotics

flash storage

data transfer

U.S. researchers

AI workflows

ARTISAN

Coda Data Center

HIVE supercomputer

NCSA

University of Illinois

national collaboration

tech partnerships

research support

AI talent

scientific community

research access

AI tools

AI-centered innovation

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Wed, 07/16/2025 - 14:56

Georgia Tech to Build $20M National AI Supercomputer

admin — Tue, 15 Jul 2025 14:11:41 +0000

Georgia Tech to Build $20M National AI Supercomputer admin Tue, 07/15/2025 - 10:11

Nexus Supercomputer — In Simple Terms

Built for the future of science: Nexus is designed to power the most demanding AI research — from curing diseases, to understanding how the brain works, to engineering quantum materials.

Blazing fast: Nexus can crank out over 400 quadrillion operations per second — the equivalent of everyone in the world continuously performing 50 million calculations every second.

Massive brain plus memory: Nexus combines the power of AI and high-performance computing with 330 trillion bytes of memory to handle complex problems and giant datasets.

Storage: Nexus will feature 10 quadrillion bytes of flash storage, equivalent to about 10 billion reams of paper. Stacked, that’s a column reaching 500,000 km high — enough to stretch from Earth to the moon and a third of the way back.

Supercharged connections: Nexus will have lightning-fast connections to move data almost instantaneously, so researchers do not waste time waiting.

Open to U.S. researchers: Scientists from any U.S. institution can apply to use Nexus.

Why Now?

This is where Nexus comes in. It will make state-of-the-art AI infrastructure available to scientists all across the country, not just those at top tech hubs.

Like Nexus, HIVE was supported by NSF funding. Both Nexus and HIVE are supported by a partnership between Georgia Tech’s research and information technology units.

A National Collaboration

What’s Next

Summary sentence

Summary

Dateline

Tue, 07/15/2025 - 12:00

media@gatech.edu

Contact

Siobhan Rodriguez
Senior Media Relations Representative
Institute Communications

Associated importer

Keywords

National Science Foundation

NSF

Georgia Tech

supercomputer

Nexus

artificial intelligence

scientific breakthroughs

hpc

clean energy

brain research

medicine development

manufacturing innovation

AI infrastructure

scientific discovery

persistent scientific services

quantum materials

climate science

health research

aerospace

robotics

flash storage

data transfer

U.S. researchers

AI workflows

ARTISAN

Coda Data Center

HIVE supercomputer

NCSA

University of Illinois

national collaboration

tech partnerships

research support

AI talent

scientific community

research access

AI tools

AI-centered innovation

go-researchnews

go-ai

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Campus and Community

Science and Technology

Mercury ID

683137

Source updated

Tue, 07/15/2025 - 10:10

Shriners Children’s to Establish Research Institute at Science Square

admin — Thu, 03 Jul 2025 12:58:49 +0000

Shriners Children’s to Establish Research Institute at Science Square admin Thu, 07/03/2025 - 08:58

Gov. Brian P. Kemp has announced a new world-renowned tenant for Science Square, signaling Georgia Tech's role in Atlanta and Georgia's expanding life sciences sector. According to the governor’s office, Shriners Children’s will establish a new pediatric medical research facility at Science Square, investing more than $153 million into the facility and creating 470 new jobs. The move by this nonprofit healthcare system, which has locations across North America and a global reach, shows the continued momentum in the region for this important area of research and development.

The Shriners Children’s Research Institute will be in Science Square Labs, positioned across from Georgia Tech’s North Avenue Research Area. The institute will serve as a multidisciplinary innovation hub focused on advancing healthcare for children. Areas of research will include cell and gene therapies, robotics, artificial intelligence, medical devices, biologics, and data informatics.

"Georgia Tech is excited to welcome Shriners Children’s to Science Square,” said Georgia Tech President Ángel Cabrera. “We developed Science Square to create a leading hub for life sciences research and innovation, and Shriners’ decision to be here will accelerate our progress to drive medical innovation, create high-impact jobs, and greatly strengthen Atlanta's thriving innovation ecosystem.”

Georgia Tech’s proximity and research strengths were key factors in the decision to locate the institute in Atlanta. The collaboration is expected to enhance the region’s growing reputation in life sciences and advanced research. Projected to be the largest tenant of Science Square, Shriners Children's would put the facility at 82% occupancy.

Shriners Children’s, founded in 1922 by members of the Shriners International fraternity, focuses on orthopedic and neuromuscular conditions, burn injuries, spinal cord injury rehabilitation, and cleft lip and palate. The organization also maintains a strong commitment to education and research. In 2024, Shriners Children’s served patients from all 50 U.S. states, every Canadian province, and 128 countries.

This news comes after Tech’s recent announcement regarding the move-in of about seven biomedical research labs into Science Square.

Science Square, a mixed-use development adjacent to Georgia Tech’s Midtown campus, continues to attract leading organizations in healthcare, technology, and research. The addition of Shriners Children’s further establishes the district as a hub for global innovation and community impact.

Subtitle

Governor’s office touts move that will create 470 new jobs.

Summary sentence

Shriners Children’s will open a $153 million pediatric medical research facility at Science Square, becoming the largest tenant in the development and contributing to Georgia Tech’s growing role in Atlanta’s life sciences sector.

Summary

Shriners Children’s will establish a new pediatric medical research facility at Science Square in Atlanta, investing more than $153 million into the project. Located across from Georgia Tech’s North Avenue Research Area, the facility will collaborate with Georgia Tech researchers and focus on advancing care in areas such as orthopedic and neuromuscular conditions, burn injuries, spinal cord injury rehabilitation, and cleft lip and palate.

Dateline

Thu, 07/03/2025 - 12:00

media@gatech.edu

Contact

Siobhan Rodriguez
Senior Media Relations Representative
Institute Communications

Keywords

Shriners Children’s

Georgia Tech

science square

pediatric research

medical research facility

atlanta

orthopedic conditions

neuromuscular conditions

spinal cord injury

burn injuries

cleft lip and palate

Biomedical Engineering

artificial intelligence

robotics

Gene Therapy

Medical Devices

biologics

data informatics

research collaboration

Life Sciences

healthcare innovation

research institute

North Avenue Research Area

investment

nonprofit healthcare

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683000

Source updated

Thu, 07/03/2025 - 08:58

How Insects Evolved to Ultrafast Flight (And Back)

admin — Mon, 09 Oct 2023 19:50:41 +0000

How Insects Evolved to Ultrafast Flight (And Back) admin Mon, 10/09/2023 - 15:50

Mosquitoes are some of the fastest-flying insects. Flapping their wings more than 800 times a second, they achieve their speed because the muscles in their wings can flap faster than their nervous system can tell them to beat.

This asynchronous beating comes from how the flight muscles interact with the physics of the insect’s springy exoskeleton. This decoupling of neural commands and muscle contractions is common in only four distinct insect groups.

For years, scientists assumed these four groups evolved these ultrafast wingbeats separately, but research from the Georgia Institute of Technology and the University of California, San Diego (UC San Diego) shows that they evolved from a single common ancestor. This discovery demonstrates evolution has repeatedly turned on and off this particular mode of flight. The researchers developed physics models and robotics to test how these transitions could occur.

Read the full feature in the GT Research newsroom.

Summary sentence

Many insects fly synchronously, matching the nervous system pulses to wing movement. But smaller insects don’t have the mechanics for this and must flap their wings harder, which works only up to a certain point. That’s where asynchronous flight comes in.

Summary

Dateline

Fri, 10/06/2023 - 12:00

jess@cos.gatech.edu

Contact

Media Contact: Tess Malone | tess.malone@gatech.edu

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Simon Sponberg

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670308

Source updated

Mon, 10/09/2023 - 15:48

Computational Neuroscience Digging Deep at Georgia Tech

admin — Wed, 24 Aug 2022 15:26:05 +0000

Computational Neuroscience Digging Deep at Georgia Tech admin Wed, 08/24/2022 - 11:26

The human brain, composed of about 86 billion noisy neurons, is a reliable, durable, complex, and cryptic biological supercomputer. A community of multidisciplinary researchers at Georgia Tech is decrypting that neuronal chatter, which may hold the key to better treatments for disease and addiction, advanced robotics and artificial intelligence (AI), and even global energy efficiency.

These researchers work in the realm of computational neuroscience, a branch of neuroscience that uses mathematical models, computer simulations, and theoretical analysis of the brain to gain a deeper understanding of the nervous system.

"We want to understand the brain and the important data that we gather from this amazing, mysterious organ,” said Chethan Pandarinath, assistant professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. “But for a long time, we really didn’t have the adequate tools.”

Basically, the ability to look at the brain and gather large amounts of data from it has advanced rapidly — faster than our ability to understand it all.

“There has been an explosion of technology over the past five or 10 years,” Pandarinath said. “So, we’re moving into a different space in the ways we approach the brain, and the ways we think about it.”

Much of that explosion — manifested at Georgia Tech and its partner institutions, like Emory, in the form of additional academic offerings as well as research interest — has been fueled by the BRAIN Initiative, launched by President Barack Obama in 2014. That global research program has identified computational neuroscience (among other things) as an area where progress is most needed.

The wish list includes improvements in machine learning, AI, and crowdsourcing approaches to translating the massive volume of data being gathered from human brains. And Georgia Tech researchers have their hands in every area.

Pandarinath’s lab, for example, is using AI tools and the insights gained from the brain’s neural networks — and support from the National Institutes of Health — to develop revolutionary assistive devices for people with disabilities or neurological disorders.

He also spearheaded the Neural Latents Benchmark Challenge on GitHub. These competitions attracted a diverse range of teams that created new models for analyzing large data sets of neural activity.

“This was our effort to accelerate progress at the intersection of neuroscience, machine learning, and artificial intelligence,” Pandarinath said.

The challenge illustrated a need for multiple perspectives and disciplines in computational neuroscience — the winning team of the first competition in January was a firm called AE Studio, a software development, data science, and product design company that doesn’t ordinarily focus on neuroscience but develops potent mathematical and machine-learning tools.

“This field is multidisciplinary and collaborative by nature and necessity,” said Tansu Celikel, chair of Georgia Tech’s School of Psychology, who wants to understand complex behaviors controlled by the brain in order to make smarter, more intuitive robots.

“It begs for biologists, psychologists, mathematicians, physicists, data scientists — people from the machine learning and AI worlds — to come together and advance the state of computation and brain research," Celikel added. "With that in mind, Georgia Tech is in an excellent position to make a significant impact and become a global center for this kind of research.”

Celikel and Pandarinath are just two of the researchers at Georgia Tech in computational neuroscience, a wide-ranging field that relies on collaborations between data scientists, experimentalists, and clinicians, who are forming partnerships across schools, colleges, universities, and disciplines. A small sampling of the people connecting the brain’s neuronal dots and expanding this body of research at Georgia Tech include:

Hannah Choi

• Assistant Professor, School of Mathematics

• Research Group in Mathematical Neuroscience

Neuroscience wasn’t part of Choi’s plans. But while working toward her Ph.D. in applied mathematics, “I got really interested in nonlinear dynamical systems, a big topic in applied mathematics,” she said. Such systems seem to be chaotic, unpredictable, and counterintuitive — pretty much like most systems in nature. “I soon realized the brain is the most exciting nonlinear dynamical system, and that I could apply my mathematical tools and develop computational theories to better understand the brain.”

Earlier this year, Choi’s work in applying math to neuroscience earned her a prestigious 2022 Sloan Research Fellowship, which goes to the nation’s most promising young scientific researchers. Since launching her lab at Georgia Tech in January 2021, Choi has continued her collaboration with the Seattle-based Allen Institute in studying how information is processed in neural networks of many different scales, while starting partnerships with several Georgia Tech and Emory researchers, including Simon Sponberg, Anqi Wu, Nabil Imam, Chris Rodgers, Ming-fai Fong, and Dieter Jaeger, working in the sprawling computational neuroscience world.

Like some of her Georgia Tech colleagues, Choi also wants to address the problem of the environmental footprint being made by all of this computation and AI in her chosen field. “The idea is to apply what we have learned about our very energy-efficient brains to the development of better, more efficient artificial neural networks.”

Eva Dyer

• Assistant Professor, Wallace H. Coulter Department of Biomedical Engineering

• Neural Data Science (NERDS) Lab

Dyer leads a diverse team of researchers in developing machine learning approaches to analyze and interpret massive, complex neural data sets. Winner of a McKnight Technology Award and BRAIN Award in recent years, Dyer’s interest in the brain is rooted in her love of music — being keen on how we perceive sound at the neuronal level.

As a postdoctoral student she developed a cryptography-inspired strategy for decoding neural conversations. Now one of the leading young researchers in computational neuroscience, Dyer directs a lab that routinely presents research at high-profile conferences like NeurIPS. Her team is “essentially interested in how the coordinated activity of large collections of neurons are being modified or changing in the presence of something like disease,” she said.

“Ultimately, with the information we gather and analyze, we hope to discover biomarkers of Alzheimer’s and other diseases,” added Dyer, who worked with Pandarinath to develop the Benchmark Challenge. “The idea is to catch changes in neural activity that are happening before we actually see the cognitive deficits.”

Dobromir Rahnev

• Associate Professor, School of Psychology

• Perception, Neuroimaging, and Modeling Lab

Rahnev uses a combination of neuroimaging and computational modeling to reveal the mechanisms of perception and decision-making in humans.

A recipient of the American Psychological Association Distinguished Scientific Award for an Early Career Contribution to Psychology and the Vision Science Society Young Investigator Award, Rahnev has already made important contributions to our understanding of how people perceive the world and make decisions. He has recently started to investigate how deep neural networks — which have established themselves as state-of-the-art computer vision algorithms — can serve as excellent models for the perceptual and decisional processes in the human brain.

“One of my strongest passions is to make science more open in every sense of the word,” said Rahnev, who organized the Confidence Database, the largest field-specific database of open data in the behavioral sciences. “It’s important for me to be involved in efforts to attract and retain people from underrepresented groups in cognitive and computational neuroscience.”

Chris Rozell

• Professor; Julian T. Hightower Chair, School of Electrical and Computer Engineering

• Sensory Information Processing Lab

Rozell describes his lab’s focus on computational neuroengineering as a combination of data science, neurotechnology, and computational modeling, with the goal of advancing the understanding of brain function, leading to the development of intelligent machine systems and effective interventions for disease.

“One of the projects in our lab that is really compelling right now is a novel therapy for patients with treatment-resistant depression,” said Rozell, whose lab is partnering with a clinical team to improve this experimental treatment for patients who have not responded to any currently approved therapy. “So, no drugs help them. No psychotherapy. No electroconvulsive therapy. We’re using deep brain stimulation.”

The results have been positive for patients, and the researchers are, “getting an objective readout, for the first time, of what’s happening in their brains,” Rozell said, thanks to a new generation of machine-learning tools called “explainable AI.” “With these new approaches, we can gain a deeper understanding of the disease, which can lead to more personalized therapies.”

Lewis Wheaton

• Associate Professor, School of Biological Sciences

• Cognitive Motor Control Lab

When he isn’t helping to lead the city of Smyrna as a city councilman, Wheaton is leading a research effort that could lead to user-friendly prosthetic devices and improved motor rehabilitation training, particularly for people with upper limb amputation.

“There are a lot of beautifully developed upper limb prostheses available right now, but one of the big challenges is they’re just not heavily used by individuals — partly because they’re really, really expensive, but also because they’re such an easy thing to not use,” said Wheaton. “It’s very easy to just take it off and never wear it at all.”

Which is why much of Wheaton’s research is focused on acquiring and studying data that shows what upper limb amputees are thinking or feeling while using, or trying to use, a prosthesis. Integrating a patient’s neural activity with observations of behavior and gaze patterns, the team is “gathering data that’s never really been acquired before,” Wheaton said.

“This will help us gather more information that is helpful in developing new rehabilitation protocols for persons learning how to use prostheses. A better understanding of how rehabilitation efforts are influenced by different types of prostheses can also inform engineers and the marketplace on the type of prostheses we should be developing.”

Anqi Wu

• Assistant Professor, School of Computer Science and Engineering

• BRAin INtelligence and Machine Learning Laboratory

One of Georgia Tech’s newest computational neuroscientist faculty members, Wu is building her research enterprise around building advanced machine-learning models for neural and behavioral analyses.

“I want to help experimental neuroscientists to understand their data and draw scientific conclusions,” she said, pointing out that these collaborators are collecting larger and larger populations of neurons across the whole brain, as well as more naturalistic animal behaviors. “How to integrate these big data sets and extract multilayer knowledge to understand different perspectives of the brain is a very challenging problem.”

Wu, who came to Georgia Tech in Spring 2022, aims to develop sophisticated latent variable models to address those issues. These computational models are essentially used to project high-dimensional data from large neural populations across large brain areas into useful, low-dimensional (i.e., interpretable) information that experimental neuroscientists can use.

More Neuro News

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Serpooshan Lab Creates 3D-Printed Tool to Study Neuroblastoma

Writer: Jerry Grillo

Photos: Joya Chapman

Summary sentence

Researchers at Georgia Tech are working in the realm of computational neuroscience, a branch of neuroscience that uses mathematical models, computer simulations, and theoretical analysis of the brain to gain a deeper understanding of the nervous system.

Summary

Dateline

Tue, 08/23/2022 - 12:00

Location

Atlanta, GA

Associated importer

Keywords

cos-neuro

cos-data

computational neuroscience

robotics

theoretical neuroscience

A.I.

artificial intelligence

artificial neural networks

School of Biological Sciences

News room topics

Science and Technology

Mercury ID

660467

Source updated

Wed, 08/24/2022 - 11:22

Amazon Robotics Gift Supports Georgia Tech’s Advanced Technology Development Center

bwaye3 — Wed, 15 Jun 2022 14:15:59 +0000

Amazon Robotics Gift Supports Georgia Tech’s Advanced Technology Development Center bwaye3 Wed, 06/15/2022 - 10:15

To help support the growth of startups and individuals working to advance automation and robotics, Amazon Robotics today announced it is providing a substantial investment over three years to the Georgia Institute of Technology’s Advanced Technology Development Center (ATDC).

ATDC is Georgia’s technology startup incubator and helps entrepreneurs across the state build, launch, and scale successful companies. The goal of the gift is to accelerate growth of automation and robotics by leveraging staff and resources at ATDC in collaboration with Amazon.

“Our mission is to support infrastructure for startups and to help foster compelling startup companies with tremendous talent that solve big problems,” said Thomas Felis, director of robotics strategy for Amazon Global Robotics. “Equally important to us is Georgia Tech’s track record of working with and supporting entrepreneurs from diverse and underrepresented backgrounds.”

The funding includes allocation for an ATDC full-time automation and robotics catalyst to recruit and coach companies focused on automation and robotics. The catalyst will identify relevant startups and help onboard them into ATDC’s startup pipeline and portfolio.

“Georgia Tech is a leader in robotics research, and we are excited to have Amazon support our startup mission at ATDC to bring entrepreneurial ideas to life and to market,” said John Avery, ATDC director. “Innovation can come from anywhere and everywhere, and this collaboration reflects our commitment to support diverse startup founders.”

This effort will also support Georgia Tech’s ongoing robotics research, including the Institute for Robotics and Intelligent Machines.

The Amazon sponsorship expands ATDC’s targeted vertical focus areas to seven, including financial, health, and retail technology, 5G, logistics and supply chain, and advanced manufacturing.

ATDC will also work with Amazon to identify specific areas of technical interest with the aim of developing virtual and physical events to attract relevant startups.

To apply to join the robotics and automation incubator, click here.

Summary sentence

Funding will go toward assisting diverse entrepreneurs in the fields of robotics and automation.

Dateline

Tue, 06/14/2022 - 12:00

peralte@atdc.org

Contact

Peralte C. Paul
peralte.paul@comm.gatech.edu
404.316.1210

Location

Atlanta, GA

Associated importer

Keywords

Amazon

atdc

robotics

automation

go-researchnews

News room topics

Business and Economic Development

Categories

Business

Robotics

Core research areas

Robotics

Mercury ID

658858

Source updated

Tue, 06/14/2022 - 13:03

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Georgia Tech to Build $20M National AI Supercomputer

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Georgia Tech to Build $20M National AI Supercomputer

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Shriners Children’s to Establish Research Institute at Science Square

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How Insects Evolved to Ultrafast Flight (And Back)

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Computational Neuroscience Digging Deep at Georgia Tech

Hannah Choi

Eva Dyer

Dobromir Rahnev

• Associate Professor, School of Psychology

Chris Rozell

Lewis Wheaton

Anqi Wu

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Amazon Robotics Gift Supports Georgia Tech’s Advanced Technology Development Center

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