Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.
A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.
Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...
DeepMind's Aletheia is a huge advance in AI-driven mathematical reasoning. It is a research agent built on top of Gemini Deep ...
SF-based Company Delivers $34-45M in Annual Value for Refineries Through Advanced AI That Combines Data, Engineering ...
Built on the firm’s PEAK (prepare, execute, and act with knowledge) Threat Hunting Framework, the PEAK Threat Hunting ...
In the United States, due process is meant to safeguard against government overreach. The clause states that no state may deprive any person of life, liberty or property, without due process of the ...
“Codex-Spark is the first step toward a Codex that works in two complementary modes: real-time collaboration when you want ...
Today's best AI systems don't have a good grasp on their own thought process, but a new model might allow them to tap into metacognition ...
When you're selling complex services, buyers can't test-drive your expertise. So how do you earn trust before they commit? By ...
AI can be used to produce mental health treatment plans. That's already happening. The next era is using neuro-symbolic AI. I ...
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