Collaborating Authors


Saints' Michael Burton active for game against Lions after false positive COVID-19 test

FOX News

New Orleans Saints' fullback Michael Burton will be active for Sunday's game against the Detroit Lions just one day after receiving a false positive COVID-19 test result. Burton tested positive on Saturday night signaling trouble for the league already dealing with an outbreak and several other isolated cases among teams but a re-test on Sunday morning turned back a negative test result, The Athletic reported. Burton and other Saints players also underwent rapid testing which all came back negative giving them a green light to carry on with the Lions game as scheduled. The NFL has been forced to postpone two games and adjust team schedules after the Tennessee Titans had around 20 people - 10 players and 10 personnel - test positive this past week. The Titans-Pittsburgh Steelers game, originally scheduled for Sunday, was postponed until Oct. 25 -- during Tennessee's bye.

Artificial Intelligence & Technology Office


The Artificial Intelligence & Technology Office (AITO), the Department of Energy's center for artificial intelligence, will accelerate the delivery of AI-enabled capabilities, scale the Department-wide development of AI, synchronize AI applications to advance the agency's core missions, and expand public and private sector strategic partnerships, all in support of American AI leadership. Artificial intelligence is all around us -- even if we don't realize it -- and the rapid spread of AI technologies into our lives raises big questions about security. Artificial intelligence is all over the news, but what's all the hype really about? We travel to Oak Ridge National Lab in Tennessee to find out how AI is going to revolutionize science, and welcome a new podcast to the Department of Energy family! Check out the Direct Current podcast page to subscribe. Insights from artifical intelligence has the potential to transform nearly every aspect of the world as we know it.

Yousefi to develop artificial intelligence to improve glaucoma research, diagnosis


IMAGE: Siamak Yousefi, Ph.D., an assistant professor in the Department of Ophthalmology and the Department of Genetics, Genomics, and Informatics at the University of Tennessee Health Science Center, has received two... view more He was awarded $180,000 from the Bright Focus Foundation to study the impact of glaucoma on certain retinal ganglion cells, as a path to uncover more information on glaucoma progression. The foundation is a nonprofit organization supporting research on brain and eye diseases. "Glaucoma affects over 90 million people worldwide and its incidence is predicted to double over the next two decades," Dr. Yousefi said. "The costs of treatment of glaucoma increase sharply for later stages of the disease. Therefore, earlier detection of glaucoma and its progression could result not only in retaining vision, but also in significant financial savings. Effective monitoring and determining appropriate treatment strategies require reliable approaches that quantify disease-induced changes more accurately."

Meet Scout: Amazon is taking its Prime Delivery Robots to the South

USATODAY - Tech Top Stories

Amazon has put delivery robots to work during the pandemic and is now expanding its fleet to cities in the South. The online retail giant said Tuesday that it's bringing its Amazon Scout autonomous delivery system to Atlanta, Georgia and Franklin, Tennessee this week. The news comes after a year-long test run in other locales. The cooler-sized rovers help to cut down on human-to-human contact during the nation's current coronavirus crisis. The vice president of Amazon Scout, Sean Scott, said in a blog post that the service helped the company meet increasing customer demand during the pandemic.

PV Powershed to charge robotic lawnmowers – IAM Network


Solar Alliance Energy has launched a photovoltaic charging station for robotic lawnmowers. The Powershed system allows users to cut the cord and place a robotic mower anywhere the sun shines, the company said. Solar Alliance developed the design in cooperation with a researcher from the University of Tennessee and a provisional patent application has been filed with the US Patent office. The first Powershed unit has been installed at the University of Tennessee and is currently operating. Solar Alliance said the unit is designed to meet demand through a scalable production model and will initially be offered through commercial distribution partners and direct sales.

Amazon is testing its Scout delivery robots in Georgia and Tennessee


If you live in Atlanta, Georgia or Franklin, Tennessee, your next Amazon order might arrive in one of the company's Scout delivery robots. Amazon began testing its cooler-sized delivery bots in Snohomish County, Washington last year. They've been making deliveries in the Irvine area of California, and this week they popped up in Atlanta and Franklin. Only a handful of Amazon Scout devices will operate in each city. They'll be accompanied by a human, travel at walking speed and make deliveries Monday through Friday, during daylight hours.

Amazon expands its robot delivery trials to more states


Amazon unveiled its six-wheel delivery robot, Scout, in January 2019, but has only been slowly expanding its field tests. After launching in a single neighborhood in Snohomish County, Washington and then adding a larger site in Irvine, California last August, Scout is now undergoing trials in Atlanta, Georgia and Franklin, Tennessee, Amazon announced today. It's unclear how many robots are on the road and how many customers Scout is serving. But it seems the bots are very much still prototypes, and are being treated with the caution appropriate for a company that's built its reputation on speedy and reliable delivery. Amazon says it has a "small number of Amazon Scout devices" operating in both Atlanta and Franklin, which will be delivering "Monday through Friday, during daylight hours."

Amazon rolls out little delivery robot to more cities


Amazon is rolling out its robot delivery trial to more cities. The e-commerce giant launched its delivery system, Amazon Scout, in January 2019 using electric, autonomous vehicles that can navigate sidewalks to deliver packages. They were first developed and tested in Snohomish County, north of Seattle, then rolled out in Irvine, California in August of that year. Now, Amazon will extend that trial to select customers in Atlanta, Georgia, and Franklin, Tennessee. In a blog post Tuesday, Sean Scott, vice president of Amazon Scout, said the service was most recently used to help meet customer demand in the trial areas during the pandemic, in conjunction with its existing fleet of delivery vehicles.

Monitoring and auditing machine learning


Andrew Clark is a co-founder and Chief Technology Officer of a machine learning assurance company called Monitaur. Monitaur solves a key problem that has been preventing wide-spread machine learning adoption: the lack of a holistic approach to machine learning risk management. Monitaur has created a risk management and regulator friendly'SIEM' system that records all model predictions with an understandable description of why a transaction has occurred. Andrew received a B.S. in Business Administration with a concentration in Accounting, Summa Cum Laude, from the University of Tennessee at Chattanooga, an M.S. in Data Science from Southern Methodist University, and is a Ph.D. student in Economics at the University of Reading. He also holds the Certified Analytics Professional, American Statistical Association Graduate Statistician, and AWS Certified Solutions Architect - Associate certifications.

Quantum Computing Assisted Deep Learning for Fault Detection and Diagnosis in Industrial Process Systems Machine Learning

Quantum computing (QC) and deep learning techniques have attracted widespread attention in the recent years. This paper proposes QC-based deep learning methods for fault diagnosis that exploit their unique capabilities to overcome the computational challenges faced by conventional data-driven approaches performed on classical computers. Deep belief networks are integrated into the proposed fault diagnosis model and are used to extract features at different levels for normal and faulty process operations. The QC-based fault diagnosis model uses a quantum computing assisted generative training process followed by discriminative training to address the shortcomings of classical algorithms. To demonstrate its applicability and efficiency, the proposed fault diagnosis method is applied to process monitoring of continuous stirred tank reactor (CSTR) and Tennessee Eastman (TE) process. The proposed QC-based deep learning approach enjoys superior fault detection and diagnosis performance with obtained average fault detection rates of 79.2% and 99.39% for CSTR and TE process, respectively.