SensorFM: Towards a general intelligence and interface for wearable health data
Generative AI
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AWS GraphRAG deployment cuts drug research cycles by 87%
A latest AWS GraphRAG deployment diminished drug research and growth cycles in pharmaceutical environments by 87 p.c. This acceleration is achieved by integrating beforehand separated proprietary databases right into a unified and queryable data graph. Historically, preliminary information gathering and screening phases took over six months per iteration, yielding a low 5 p.c success fee….
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New York’s AI scene: The 25 companies you need to know
San Francisco nonetheless will get the headlines, however New York is operating its personal AI economic system and it’s larger than most individuals know. More than 2,000 AI startups now call the city home, backed by over $27 billion in funding since 2019 and a workforce of 40,000-plus AI professionals. That is an business, plain…
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NHS AI blood test could reduce invasive womb cancer checks
Several NHS hospitals are making ready to make use of an AI-powered blood test to assist assess ladies referred for doable womb cancer earlier than invasive checks are carried out. According to The Guardian, round 90,000 postmenopausal ladies in England are referred by GPs annually for checks after experiencing heavy bleeding. About 10,000 ladies are…
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NVIDIA Releases Nemotron-Labs-3-Puzzle-75B-A9B: A Compressed Hybrid MoE LLM Delivering 2.03x Server Throughput at Matched User Throughput
Large hybrid MoE fashions like Nemotron-3-Super are correct however costly to serve. Their energetic parameters, KV cache, and Mamba state cap what number of customers a node can maintain at a given per-user token fee. NVIDIA AI group has launched Nemotron-Labs-3-Puzzle-75B-A9B, a compressed variant of Nemotron-3-Super. The guardian mannequin has 120.7B complete and 12.8B energetic…
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Google AI Studio Adds Import from GitHub to Build a Deployable App
Google AI Studio is rolling out an ‘import from GitHub’ function inside its Build mode. It takes a repo and transforms it into a runtime-compatible format. You can then maintain iterating on it, deploy it, and extra. The replace was shared by the Google AI Studio account and by Logan Kilpatrick, who leads the product….
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Datalab Lift vs the Field: How a 9B Schema-First Extractor Compares with NuExtract3, LlamaExtract, Marker, and Docling
Datalab’s Lift is a targeted doc extraction instrument with a particular promise: give it a PDF or picture plus a JSON Schema, and it returns schema-shaped JSON immediately. Instead of changing a doc to Markdown first and then asking one other mannequin to extract fields, Lift reads rendered web page photos and makes an attempt…
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Robbyant Releases LingBot-VLA 2.0: An Open-Source 6B Vision-Language-Action (VLA) Model for Cross-Embodiment Robot Manipulation
Ant Group’s Robbyant has launched LingBot-VLA 2.0, a Vision-Language-Action (VLA) basis mannequin for robots. The launch features a technical report, an Apache-2.0 codebase, and a 6B checkpoint. The analysis group targets a widely known hole: VLA fashions typically work in labs however stumble in deployment. LingBot-VLA 2.0 advances the prior model alongside three sensible axes….
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SpaceXAI Releases Grok 4.5, a Cursor-Trained Model for Coding, Agentic Tasks, and Knowledge Work at $2/M Input
SpaceXAI simply launched Grok 4.5. The firm calls it its smartest mannequin to this point. It targets coding, agentic duties, and information work. SpaceXAI says Grok 4.5 was educated alongside Cursor, an AI coding editor. TL;DR Grok 4.5 targets coding, agentic duties, and information work, educated alongside Cursor. In SpaceXAI’s personal chart, Fable (max) leads…
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Netflix AI Team Cuts Wide-Partition Read Latency from Seconds to Milliseconds by Splitting Cassandra Partitions Per ID
Netflix’s engineering crew printed a method for handling wide partitions in Apache Cassandra. The analysis work targets Netflix’s TimeSequence Abstraction, a platform for temporal occasion knowledge. TL;DR Dynamic partitioning splits vast Cassandra partitions per TimeSequence ID, asynchronously and transparently, with no utility adjustments. Detection runs on the learn path by way of byte counting and…
