To meet semiconductor shortage, researchers in Albany, NY, are coming up with new ways to design and test the computer chips of tomorrow.| IBM Research
Recent progress in hardware and methodology for training neural networks has ushered in a new generation of large networks trained on abundant data. These models have obtained notable gains in accuracy across many NLP tasks. However, these accuracy improvements depend on the availability of exceptionally large computational resources that necessitate similarly substantial energy consumption. As a result these models are costly to train and develop, both financially, due to the cost of hardwar...| arXiv.org
It’s possible to build analog AI chips that can handle natural-language AI tasks with estimated 14 times more energy efficiency.| IBM Research
Generative AI refers to deep-learning models that can generate high-quality text, images, and other content based on the data they were trained on.| IBM Research
The future of AI is flexible, reusable AI models that can be applied to just about any domain or industry task.| IBM Research
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