In The News

...Now, Jackson is the latest place outside of Ohio to get new technology that’s part of a nationwide safety project out of Norfolk Southern. 

The technology was built in partnership with Georgia Tech’s Research Institute. 

Everytime a train goes through this point on the Jackson rail line between Atlanta and Macon, 38 cameras mounted on an arced station light up, making 1,000 images above, around and below the train. 

ATLANTA, Ga. (Atlanta News First) - Nearly two dozen times a day, a Norfolk Southern train passes through a tunnel in Butts County, about an hour south of Atlanta.

But this tunnel is no ordinary one.

It’s called a digital train inspection portal and it’s equipped with an array of trackside cameras and stadium lighting. The Georgia Tech Research Institute (GTRI) helped develop the technology.

While big data has garnered much attention in recent years, small datasets and artificial intelligence (AI) can provide valuable benefits on the battlefield, according to Margaret Loper, associate director of operations for the Georgia Tech Research Institute’s Information and Communications Laboratory (ICL).

“There was a period of time where everything was about big data, big data, big data. We need lots of data. You have to have big data to learn over, to predict from. But the reality is, with this kind of proliferation of intelligence and computation at the edges, what we really have is a lot of small data, and small data can be very informative, Loper, who has also been serving as the ICL’s acting director, told SIGNAL Media.

More than 3 years after a federal report downplayed holes in a network that enables advanced warning of dangerous storms, dozens of regions remain vulnerable....

The University of Georgia and the Georgia Institute of Technology recently teamed up to fill a coverage gap northeast of Atlanta, more than 20 years after a deadly tornado in Gainesville, Ga.

To spot defects on moving trains, Norfolk Southern Railway (Atlanta, GA, USA) is building train inspection portals on tracks in the United States. The Georgia Tech Research Institute (Atlanta, GA, USA) is collaborating with the railroad on the inspection project.

The portals combine high-resolution cameras, stadium lights, and AI algorithms to capture and then analyze images of trains moving at up to 60 mph. All components are installed trackside inside tunnel-type steel structures.

A technical paper titled “Rapid exchange cooling with trapped ions” was published by researchers at Georgia Tech Research Institute.

“The trapped-ion quantum charge-coupled device (QCCD) architecture is a leading candidate for advanced quantum information processing. In current QCCD implementations, imperfect ion transport and anomalous heating can excite ion motion during a calculation. To counteract this, intermediate cooling is necessary to maintain high-fidelity gate performance...."

ATLANTA — For Capt. Chris Aliperti, January’s “hackathon” — an annual innovation collaboration between the 3rd Infantry Division and Georgia Tech — felt like coming home.

The young infantry officer, whose Ranger tab and Expert Infantry Badge are supplemented by his former NASA internship and biomedical engineering master’s degree from Johns Hopkins, came up in the Georgia-based division.

A new cooling technique that utilizes a single species of trapped ion for both computing and cooling could simplify the use of quantum charge-coupled devices (QCCDs), potentially moving quantum computing closer to practical applications.

Using a technique called rapid ion exchange cooling, scientists at the Georgia Tech Research Institute (GTRI) have shown that they could cool a calcium ion, which gains vibrational energy while doing quantum computations—by moving a cold ion of the same species into close proximity. After transferring energy from the hot ion to the cold one, the refrigerant ion is returned to a nearby reservoir to be cooled for further use.

Salvus, LLC, a CJB Company, has entered into a licensing agreement with Georgia Tech Research Corporation (GTRC) to gain access to PFAS sensing technology for use in the Salvus™ Detection Platform, the world’s first handheld interferometric detector. Utilizing GTRC’s sensing capabilities for PFAS, the term commonly used for per- and polyfluoroalkyl substances, enables Salvus to pursue development and commercialization efforts within industries where PFAS detection, remediation, and destruction are essential.

Collaboration between Norfolk Southern Corporation and the Georgia Tech Research Institute (GTRI) has led to the development of digital train inspection portals that use advanced machine vision and artificial intelligence to examine trains moving at speeds of up to 60 miles per hour to identify mechanical defects that may exist.

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image processing algorithm to streamline radar signal processing time and costs by two or three orders of magnitude. The advance could ultimately benefit real-time analysis of radar imaging data from potential enemy targets and autonomous vehicles and drones and might also be used for quantum sensing.

Early next year, the public will have access to a new tool that makes the cost of health care more transparent — it’s a statewide database of insurance claims.

Georgia will join about half of all states that already have an all-payer claims database, or an APCD. The database and visualizations to come were developed with support from the Georgia Tech Research Institute. 

You probably keep a backup of important personal files, photos, and videos on a flash drive or external hard drive. In the not-too-distant future, you might store that data in DNA instead. 
 

French company Biomemory wants to bring personal DNA-based data storage to the public. Today, the company announced the availability of wallet-sized cards that store one kilobyte of text data each—the equivalent of a short email—using DNA as the storage medium. At $1,000 for two identical cards, the price isn’t exactly comparable to a memory stick. At least not yet.
 

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The United States Air Force School of Aerospace Medicine, or USAFSAM, part of the Air Force Research Laboratory, or AFRL, is collaborating with Georgia Tech and the Georgia Tech Research Institute, or GTRI, on a new research project to design strains of probiotic bacteria that can provide health benefits to stimulate immune recognition of influenza. 

Developing more effective methods to combat influenza could reduce impacts on military readiness and training from outbreaks and augment vaccine efforts to increase force health protection capabilities.

(Also published at Arnold AFB, Edwards AFB, Eglin EFB, Hill AFB, Tinker AFB, and Wright Patterson AFB)

The United States Air Force School of Aerospace Medicine, or USAFSAM, part of the Air Force Research Laboratory, or AFRL, is collaborating with Georgia Tech and the Georgia Tech Research Institute, or GTRI, on a new research project to design strains of probiotic bacteria that can provide health benefits to stimulate immune recognition of influenza. 

Developing more effective methods to combat influenza could reduce impacts on military readiness and training from outbreaks and augment vaccine efforts to increase force health protection capabilities.

Norfolk Southern Corporation, one of America’s largest rail freight companies has begun deploying Digital Train Inspection Portals which it hopes will enhance rail safety across the company's 22-state network.

The portals feature cutting-edge Machine Vision Inspection technology developed in partnership with the Georgia Tech Research Institution (GTRI), and Norfolk Southern's Data Science team, who built the brains behind the program.

Norfolk Southern (NS) on Oct. 26 announced that it is deploying Digital Train Inspection Portals to enhance rail safety across the Class I railroad’s 22-state network.
 

According to NS, the portals feature cutting-edge Machine Vision Inspection technology developed in partnership with the Georgia Tech Research Institution (GTRI), which engineered the hardware, and NS’s Data Science/Artificial Intelligence (AI) and Mechanical teams, who “built the brains behind the program.”
 

Norfolk Southern Corporation (NYSE: NSC) is deploying Digital Train Inspection Portals to enhance rail safety across the company's 22-state network. The portals feature cutting-edge Machine Vision Inspection technology developed in partnership with the Georgia Tech Research Institution (GTRI), who engineered the hardware, and Norfolk Southern's Data Science/Artificial Intelligence (AI) and Mechanical teams, who built the brains behind the program.
 

The project aims to supercharge Norfolk Southern's safety infrastructure and inspection processes with over a dozen portals to be deployed by the end of 2024.
 

As the number of elements on phased array antennas continues to grow, so does the volume of data that must be processed to extract information from the signals gathered. Researchers at the Georgia Institute of Technology have developed a new approach to intelligently process that data closer to where it is generated — on the antenna subarrays themselves.

Combining technologies including machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs) and a new RF image processing algorithm, the research has streamlined the modular handling of radar signals to reduce processing time and cost. The improvements — as much as two or three orders of magnitude — could lead to real-time analysis of RF image data from sources ranging from potential enemy targets to speeding automobiles headed toward collisions.

As the number of elements on phased array antennas continues to grow, so does the volume of data that must be processed to extract information from the signals gathered. Researchers at the Georgia Institute of Technology have developed a new approach to intelligently process that data closer to where it is generated - on the antenna subarrays themselves.

Combining technologies including machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a new radio-frequency image processing algorithm, the research has streamlined the modular handling of radar signals to reduce processing time and cost. The improvements – as much as two or three orders of magnitude – could lead to real-time analysis of RF image data from sources ranging from potential enemy targets to speeding automobiles headed toward collisions.