The only no-code automation platform deserves more attention than it gets ...

KV, a low-rank KV cache compression method achieving up to 20x reduction, with the paper selected as a Spotlight at ICML 2026 ...

Dnotitia Inc. (Dnotitia), a company specializing in long-term memory AI and semiconductor-based AI infrastructure ...

Ethernet auto-negotiation; multiphysics to avoid overdesign; PCB design reuse; mobile LLM quantization; modeling BSPDNs.

OpenAI has found a way to reduce its inference costs by roughly 50%, a development that could reshape the economics of running large language models at scale. Inference is the process of actually ...

Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...

Two papers on MoE-specific quantization algorithms accepted at a workshop held in conjunction with ICML 2026 Recognition follows Nota AI's overall win at the NVIDIA Nemotron Hackathon Strengthening ...

Attendees sit below a Gemini sign at Google I/O on May 19, 2026 in Mountain View, California. The two day developers conference highlights Google's new products and technologies including their AI ...

Abstract: This paper introduces a product quantization-based approach for approximate nearest neighbor search. The idea is to decompose the space into a Cartesian product of low-dimensional subspaces ...

A new quantum sensing approach could dramatically improve how scientists measure low-frequency electric fields, a task that has long been limited by bulky setups and blurry resolution. Instead of ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of ...

Abstract: Quantization is a critical technique employed across various research fields for compressing deep neural networks (DNNs) to facilitate deployment within resource-limited environments. This ...