A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.
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The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.
Ambiq’s ultra-low-power edge AI technology is pushing health monitoring by enabling always-on, intelligent wearable devices that track vital signs in real time without relying on cloud connectivity.
New apps for cancer patients, cannabis users, others make use of algorithms that continually customize support
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Healthcare is facing a critical workforce shortage, with AI emerging as a key tool to support clinicians by improving diagnostics, treatment planning, and efficiency without replacing human expertise.
EPFL researchers developed a ground-breaking new tool to help build safer AI.
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This article covers advanced architectural patterns, performance optimisation strategies, and critical operational considerations for building production-grade AI infrastructure systems!
Researchers at EPFL’s Neuroengineering Laboratory, led by Pavan Ramdya, aim to replicate the workings of the brain of the common fruit fly, Drosophila melanogaster. We spoke with Ramdya about the exciting prospects for robotics.
Claire Najjuuko, Chenyang Lu, Fred Ssewamala use AI to target interventions to improve compliance
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A nuclear engineering graduate student is researching how generative artificial intelligence can speed up nuclear science research.
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Altair’s Future.Industry 2025, a premier global virtual event, united professionals, innovators, and technology enthusiasts to explore the convergence of advanced technologies and sustainability.
A researcher in the Department of Computer Science and Engineering is developing a security-focused large language model to defend against malware.
2 minutes read
Tthe evolution of MEMS microphones marks a significant leap towards a future of seamless human-to-machine interaction, ensuring that AI can truly listen — and one day even “understand” — beyond our auditory limits.
Researchers from Princeton and Rutgers University have used reinforcement learning, a method frequently deployed to train artificial intelligence, to show how flexible responses can substantially increase the cost-effectiveness of steps to defend cities like New York against climate change.
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Unveiling the Future of Embedded AI: Object Anomaly Detection and More at Embedded World 2025