A team of scientists from ITMO University has developed software that can automatically track potential human causes of industrial accidents, such as drinking or smoking in the workplace.
3 minutes read
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Article #6 of Confronting AI Series: AI's rapid evolution has outpaced regulation. In this Q&A, Jared Bowns explores how adaptive frameworks, accountability, and ethical oversight can help engineers manage the risks and responsibilities of building trustworthy AI systems.
A novel framework offers accurate water flow predictions and simulations with unprecedented efficiency
6 minutes read
Article #1 of Confronting AI Series: AI is rapidly evolving beyond language models, quietly transforming fields like vision, prediction, and control. Explore how diverse AI techniques are solving complex challenges where text-based approaches fall short.
Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI like chatbots so good at understanding and using words.
3 minutes read
GPUs excel in parallel processing for graphics and AI training with scalability, while NPUs focus on low-latency AI inference on edge devices, enhancing privacy by processing data locally. Together, they complement each other in addressing different stages of AI workloads efficiently.
This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.
Liu and team receive NSF EFRI grant for biocomputing research
New tool AI Psychiatry recovers compromised deep-learning models so researchers can understand what went wrong.
2 minutes read
Even if you’re not very familiar with deep learning, you’ve probably heard about it and how it can, among other things, help automate the driving experience, increase manufacturing efficiency and change the consumer shopping experience.
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
Researchers at EPFL have made a breakthrough in understanding how neural network-based generative models perform against traditional data sampling techniques in complex systems, unveiling both challenges and opportunities for AI's future in data generation.
3 minutes read
In this podcast, Sean Hehir, CEO of BrainChip, chats with Dr. Jason K. Eshraghian about neuromorphic computing benefits over traditional AI and its potential to revolutionize the future of computing. Listen in to learn how this emerging technology is shaping the world of AI.
In this episode, we discuss research coming out of the Karlsruhe Institute of Technology to detect the emotions of tennis players better than humans can!
13 minutes read
Researchers at KIT have developed a model for emotion analysis that can determine affective states with similar accuracy to a human
3 minutes read
