Liquid AI Releases LFM2-8B-A1B: An On-Device Mixture-of-Experts with 8.3B Params and a 1.5B Active Params per Token
How much capability can a sparse 8.3B-parameter MoE with a ~1.5B active path deliver on your phone without blowing
Read MoreFueling Minds with AI Insights
How much capability can a sparse 8.3B-parameter MoE with a ~1.5B active path deliver on your phone without blowing
Read MoreWhat if you could tune multimodal retrieval at serve time—trading accuracy, latency, and index size—simply by choosing how many
Read MoreTL;DR: A team of researchers from Stanford University, SambaNova Systems and UC Berkeley introduce ACE framework that improves LLM
Read MoreDid you know that people use AI-powered tools like chatbots more for therapy and companionship than anything else? When
Read MoreGoogle has open-sourced a Model Context Protocol (MCP) server that exposes read-only access to the Google Ads API for
Read MoreTL;DR: Computer-use agents are VLM-driven UI agents that act like users on unmodified software. Baselines on OSWorld started at
Read MoreTL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local
Read MoreCan an iterative draft–revise solver that repeatedly updates a latent scratchpad outperform far larger autoregressive LLMs on ARC-AGI? Samsung
Read MoreEvent marketing has always been about energy — the buzz before the doors open, the conversations on social, the
Read MoreArtificial intelligence has permeated every part of digital life – you see it everywhere, from your Netflix recommendations to
Read More