Interesting Engineering on MSN
New in-memory computing chip promises faster processing with lower energy use
Artificial intelligence chip developers SK hynix and TetraMem have demonstrated a new memory-centric processor ...
XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...
Chip startup SambaNova Inc. today announced that it has raised $1 billion in funding at a $11 billion valuation. General ...
Working memory is the information we need to access to complete the tasks we’re engaged in right now, and scientists think it ...
A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...
Nvidia introduces Diffusion Nemotron, a 60-billion parameter two-tower AI model that uses parallel block processing to speed up text generation.
Anthropic’s new Claude research reveals a hidden internal “global workspace” that resembles human conscious processing, ...
Interesting Engineering on MSN
Chinese smart chip maps brain structures up to 478x faster than NVIDIA A100 GPU
Chinese researchers have developed a memory chip that can model complex brain structures in ...
Anthropic is exploring Samsung's 2-nanometer process for a custom AI chip as AI developers seek lower costs and less ...
LongCat 2.0 is Meituan's 1.6T-parameter MoE model with a native 1M-token context, trained entirely on domestic AI ASIC ...
After two years of maxxing out on AI tools, many organizations are confronting an uncomfortable reality: AI costs don't scale linearly with adoption.
Learn how to run a 32B local LLM on a $599 Mac Mini using Ollama. This setup reduces cloud AI costs while maintaining strong ...
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