Mathematics has always stood quietly behind great changes, and the rise of AI is no different. As machines learn through ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...

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One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...

Enterprises often find that when they fine-tune models, one effective approach to making a large language model (LLM) fit for purpose and grounded in data is to have the model lose some of its ...

Given that there are often very few differences between Apple Watch generations, it can sometimes be pretty tricky to know which one you have on your wrist. This is vital knowledge. Though there ...

The original version of this story appeared in Quanta Magazine. The Chinese AI company DeepSeek released a chatbot earlier this year called R1, which drew a huge amount of attention. Most of it ...

New testing shows that artificial intelligence (AI) models differ widely in how they respond to individuals expressing delusional symptoms and thoughts, some better than others. Recent cases reported ...