News
Meet MaxToki: The AI That Predicts How Your Cells Age — and What to Do About It
12+ hour, 18+ min ago (354+ words) Researchers at Gladstone Institutes have built a temporal foundation model that forecasts cell state trajectories across the human lifespan " and experimentally verified its predictions in living mice. Most foundation models in biology have a fundamental blind spot: they see cells…...
TII Releases Falcon Perception: A 0.6B-Parameter Early-Fusion Transformer for Open-Vocabulary Grounding and Segmentation from Natural Language Prompts
3+ day, 18+ min ago (376+ words) In the current landscape of computer vision, the standard operating procedure involves a modular "Lego-brick" approach: a pre-trained vision encoder for feature extraction paired with a separate decoder for task prediction. While effective, this architectural separation complicates scaling and bottlenecks…...
Step by Step Guide to Build an End-to-End Model Optimization Pipeline with NVIDIA Model Optimizer Using FastNAS Pruning and Fine-Tuning
3+ day, 1+ hour ago (298+ words) We begin by installing all required dependencies and importing the necessary libraries to set up our environment. We initialize seeds to ensure reproducibility and configure the device to leverage a GPU if available. We also define key runtime parameters, such…...
Arcee AI Releases Trinity Large Thinking: An Apache 2.0 Open Reasoning Model for Long-Horizon Agents and Tool Use
3+ day, 9+ hour ago (288+ words) The landscape of open-source artificial intelligence has shifted from purely generative models toward systems capable of complex, multi-step reasoning. While proprietary "reasoning" models have dominated the conversation, Arcee AI has released Trinity Large Thinking. This release is an open-weight reasoning…...
Liquid AI Released LFM2.5-350M: A Compact 350M Parameter Model Trained on 28T Tokens with Scaled Reinforcement Learning
5+ day, 4+ hour ago (334+ words) In the current landscape of generative AI, the "scaling laws" have generally dictated that more parameters equal more intelligence. However, Liquid AI is challenging this convention with the release of LFM2.5-350M. This model is actually a technical case study in intelligence…...
How to Build and Evolve a Custom OpenAI Agent with A-Evolve Using Benchmarks, Skills, Memory, and Workspace Mutations
5+ day, 14+ hour ago (931+ words) How to Build and Evolve a Custom OpenAI Agent with A-Evolve Using Benchmarks, Skills, Memory, and Workspace Mutations'MarkTechPost In this tutorial, we work directly with the A-Evolve framework in Colab and build a complete evolutionary agent pipeline from the ground…...
Microsoft AI Releases Harrier-OSS-v1: A New Family of Multilingual Embedding Models Hitting SOTA on Multilingual MTEB v2
6+ day, 10+ hour ago (416+ words) Microsoft has announced the release of Harrier-OSS-v1, a family of three multilingual text embedding models designed to provide high-quality semantic representations across a wide range of languages. The release includes three distinct scales: a 270M parameter model, a 0.6B model, and a…...
Salesforce AI Research Releases VoiceAgentRAG: A Dual-Agent Memory Router that Cuts Voice RAG Retrieval Latency by 316x
6+ day, 23+ hour ago (153+ words) VoiceAgentRAG operates as a memory router that orchestrates two concurrent agents via an asynchronous event bus: To optimize search accuracy, the Slow Thinker is instructed to generate document-style descriptions rather than questions. This ensures the resulting embeddings align more closely…...
Meet A-Evolve: The PyTorch Moment For Agentic AI Systems Replacing Manual Tuning With Automated State Mutation And Self-Correction
1+ week, 14+ hour ago (481+ words) A team of researchers associated with Amazon has released A-Evolve, a universal infrastructure designed to automate the development of autonomous AI agents. The framework aims to replace the "manual harness engineering" that currently defines agent development with a systematic, automated…...
NVIDIA AI Unveils ProRL Agent: A Decoupled Rollout-as-a-Service Infrastructure for Reinforcement Learning of Multi-Turn LLM Agents at Scale
1+ week, 2+ day ago (362+ words) Multi-turn agent tasks involve interacting with external environments, such as code repositories or operating systems, via iterative tool use. Many existing frameworks'including SkyRL, VeRL-Tool, Agent Lightning, rLLM, and GEM'embed rollout control directly within the training process. This tight coupling leads…...