Day: July 20, 2020
Artificial Intelligence Deployment Requires Diverse Image Data > US DEPARTMENT OF DEFENSE – Department of Defense
Ensuring that technology powered by artificial intelligence will work anywhere requires that AI is “trained” on a diverse data set that readies it for deployment anywhere in the world. That’s something the Joint Artificial Intelligence Center is well aware of as it pushes forward with the Defense Department’s AI strategy, the center’s director said. Diversity in…
Exploring the edge cases of artificial intelligence in 2020 – TechHQ
We explore deepfakes, facial recognition, carbon footprints and more, in this tracing of the year’s top AI trends. 20 July 2020 From hacking to the environment, we can’t argue about AI’s powerful potential. Source: Shutterstock Artificial intelligence is being used more broadly than ever before, speeding up processes and forging innovative paths for businesses to…
Could this software help users trust machine learning decisions? – C4ISRNet
WASHINGTON – New software developed by BAE Systems could help the Department of Defense build confidence in decisions and intelligence produced by machine learning algorithms, the company claims. BAE Systems said it recently delivered its new MindfuL software program to the Defense Advanced Research Projects Agency in a July 14 announcement. Developed in collaboration with…
CMU and Facebook AI Research use machine learning to teach robots to navigate by recognizing objects – TechCrunch
Carnegie Mellon today showed off new research into the world of robotic navigation. With help from the team at Facebook AI Research (FAIR), the university has designed a semantic navigation that helps robots navigate around by recognizing familiar objects. The SemExp system, which beat out Samsung to take first place in a recent Habitat ObjectNav…
Could this software help users trust machine learning decisions? – DefenseNews.com
WASHINGTON – New software developed by BAE Systems could help the Department of Defense build confidence in decisions and intelligence produced by machine learning algorithms, the company claims. BAE Systems said it recently delivered its new MindfuL software program to the Defense Advanced Research Projects Agency in a July 14 announcement. Developed in collaboration with…
AI Weekly: Transform 2020 showcased the practical side of AI and ML
VB Transform Watch every session from the AI event of the year On-Demand Watch Now Watch all the Transform 2020 sessions on-demand right here. Today marked the conclusion of VentureBeat’s Transform 2020 summit, which took place online for the first time in our history. Luminaries including Google Brain ethicist Timnit Gebru and IBM AI ethics…
Future possibilities for artificial intelligence in the practical management of hypertension
1. Lecun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521:436–444. CAS PubMed Google Scholar 2. Karras T, Laine S, Aila T. A style-based generator architecture for generative adversarial networks. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2019;4396–4405. https://doi.org/10.1109/CVPR.2019.00453. 3. Devlin J, Chang M-W, Lee K, Toutanova K….
Tackling the misinformation epidemic with “In Event of Moon Disaster”
Can you recognize a digitally manipulated video when you see one? It’s harder than most people realize. As the technology to produce realistic “deepfakes” becomes more easily available, distinguishing fact from fiction will only get more challenging. A new digital storytelling project from MIT’s Center for Advanced Virtuality aims to educate the public about the…
Enabling fairer data clusters for machine learning – Tech Xplore
Credit: Google Research published recently by CSE investigators can make training machine learning (ML) models fairer and faster. With a tool called AlloX, Prof. Mosharaf Chowdhury and a team from Stony Brook University developed a new way to fairly schedule high volumes of ML jobs in data centers that make use of multiple different types…
Evolving Architectures for AI/ML – Electronic Design
Date: Thursday, August 20, 2020 Time: 2:00 PM Eastern Daylight Time Sponsor: RambusDuration: 30 MinutesRegister Today!SummaryRising demands of an expanding universe of AI/ML applications is driving exponential growth in the size and sophistication of neural networks. This is putting enormous pressure on computing systems and calls for new architectures and hardware solutions. In part three on…