News

Modeling electric response of materials, a million atoms at a time
Researchers in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a machine learning framework that can predict with quantum-level accuracy how materials ...
Turning Data Into Meaningful Customer Experiences: AI's Role In Personalization
By responsibly harnessing the power of AI to interpret complex datasets, marketers can deliver tailored experiences that ...
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Integrating computational models, including Bayesian models, digital twins, and deep learning, for advancing pre-clinical and clinical neuroscience
Translational neuroscience is deeply engaged with the notion that the brain functions on computational principles, including ...
AI models still far from AGI-level reasoning: Apple researchers
The “thinking” variants of AI models have shallow reasoning and are prone to overthinking, according to the latest research ...
Like humans, AI is forcing institutions to rethink their purpose
Like people undergoing cognitive migration, institutions must reassess what they were made for in this age of AI.
The best ways to build on top of foundation models, with DeepMind, Twelve Labs, and Amazon
New AI models are dropping all the time, and existing models are getting better all the time. How can a startup build a ...
How much information do LLMs really memorize? Now we know, thanks to Meta, Google, Nvidia and Cornell
Using a clever solution, researchers find GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter.