<p><i><strong>University of Alberta and Former DeepMind Researchers Develop AI Software to Optimize Performance and Improve Reliability in Industrial Control Systems</strong></i></p><p><i><strong>Funds to be Used to Drive Global Expansion of Cost-Saving and Energy Efficient Solutions</strong></i></p>
Read MoreGraid Technology and ThinkParQ Join Forces to Redefine Benchmarks in High-Performance Computing, AI and Diverse Industries Reliant on Data-Intensive Operations
Read MoreEveLab Insight's skin analysis system Eve M is designed to generate personalized skin reports based on diagnostic modes of different skin shades and facial features
Read MoreThe Diffgram Training Data Platform is now Open Source - after three years of closed source work. Diffgram is similar to closed source offerings like Labelbox but is different in that it's Open Source.
Read MoreArtificial Paintings keeps producing exclusive pieces of art in the form of the NFT tokens. Three limited collections of AI-generated artworks containing top-notch digital paintings are available for purchase.
Read MoreSome of the major Artificial Intelligence (AI) in education market participants are IBM, AWS, Microsoft, Google, Nuance, Century Tech, Blackboard, Pearson, Cognii, Volley.com, Blippar, Knewton, Jenzabar, Content Technologies, PLEIQ, Luilishuo, Pixatel System, and Quantum Adaptive Learning.
Read MoreRadars evolve towards 4D imaging with improved resolution and object detection AIs, surpassing $15Bn as forecast by IDTechEx Research in their latest report on the topic, covering ADAS and autonomous driving, 4D imaging radars, semiconductor technology, low insertion loss materials, advanced packaging, deep learning, object detection/classification/tracking.
Read MoreIllumitex now offers its FarmVisionAI™ separate from lighting so that almost any CEA grower can enjoy the peace of mind of digitally seeing, monitoring, and analyzing every plant, at every moment.
Read MoreUniversity of Texas Researchers, Led by Mohsen Jafarzadeh, Presented a Novel Approach to Control of Prosthetic Hands with Electromyography Signals Using Deep Learning at IEEE International Symposium on Measurement and Control in Robotics
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