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Join ATCx AI for Engineers 2025, Altair's global virtual event showcasing AI-driven innovations in design, simulation, and manufacturing. Discover 100 real-world AI use cases, gain insights from industry leaders, and explore how AI is transforming engineering workflows.
BrainChip's Akida processor is enabling real-time seizure prediction in wearable devices, marking a breakthrough in low-power, personalized medical AI at the edge.
A REVIEW OF PAST AND FUTURE CDFAM PRESENTATIONS
6 minutes read
Researchers at ETH Zurich have developed the first technology that is able to recognise biomarkers in menstrual blood – directly in sanitary towels. MenstruAI promises a simple, non-invasive method for recording health data in everyday life.
4 minutes read
This article explores the significant advancements in AI-driven MEMS sensors, focusing on STMicroelectronics' (ST) cutting-edge technologies, their applications, and the ecosystem supporting these innovations.
Wevolver spoke with John Weil, Vice President of IoT and Edge AI Processor Business at Synaptics, to understand the challenges of bringing AI to the edge, how the Synaptics Astra™AI Native platform enables cognitive computing in real-world devices, and what the future holds for edge intelligence.
Generative artificial intelligence (GenAI) suffers from several types of biases that reflect human failings. How can we avoid being tricked?
4 minutes read
EPFL researchers have discovered key 'units' in large AI models that seem to be important for language, mirroring the brain's language system. When these specific units were turned off, the models got much worse at language tasks.
4 minutes read
New type of "state-space model" leverages principles of harmonic oscillators.
"IntersectionZoo," a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
The Fraunhofer Institute for Factory Operation and Automation IFF (Fraunhofer IFF) is working to overcome challenges to e-waste disposal.
EPFL researchers have developed the first AI model of language in the brain that captures both how neurons are arranged and how they function.
3 minutes read
ETH Zurich researchers have developed a method that makes AI responses increasingly reliable. Their algorithm specifically selects data relevant to the question. In addition, even AI models up to 40 times smaller achieve the same output performance as the best large AI models.
4 minutes read
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.
