Illia Polosukhin, a co-author of the seminal transformer paper, said our institutions need to be better prepared as AI agents ...
A transformer is a neural network architecture that changes data input sequence into an output. Text, audio, and images are ...
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A hardware-software co-design can efficiently run AI on edge devices
A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...
Companies blame AI for mass layoffs. But a new study shows AI tools slow workers down. The real story is overhiring, weak ...
Mistral AI launches Voxtral TTS, an open-weight enterprise voice model that runs on a smartphone and challenges ElevenLabs in the fast-growing voice AI market.
A new hybrid AI model improves lung cancer detection on CT scans, achieving over 96% accuracy for early tumour identification ...
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The post-transformer era has an answer to AI’s energy crisis
The key to solving the AI energy crisis is to move beyond the transformer.
At Hannover Messe 2026, the German Research Center for Artificial Intelligence (DFKI) will demonstrate how AI solutions can be deployed in an economically viable, socially responsible, and ...
Major release delivers seamless Ignition SCADA, enterprise-grade security, advanced ML algorithms, and private cloud ...
A UK-based artificial intelligence researcher, Bassey Riman, has developed a machine learning system that could help improve early detection of Alzheimer’s disease by analysing brain MRI scans. Bassey ...
Google's Gemma 4 open models deliver frontier AI performance on a single Nvidia GPU, with Apache 2.0 licensing and native ...
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Compression technique makes AI models leaner and faster while they're still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
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