Google Research Introduces SensorFM: A Wearable Health Foundation Model Pretrained on One Trillion Minutes of Sensor Data

Most wearable health models are built one outcome at a time. That approach breaks down at thirty-five endpoints. Labels are expensive and retrospective annotation is infeasible. Google Research introduced SensorFM, a foundation model for wearable health pre-trained on more than 1 trillion minutes of sensor data from 5 million people. https://arxiv.org/pdf/2605.22759 What is SensorFM? SensorFM…

Read Full News

Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness

Robbyant, Ant Group’s embodied-intelligence unit, has released LingBot-World-Infinity (LingBot-World 2.0). It is a causal video generation model that behaves as an interactive world simulator. It is how the team attacks two failure modes: long-horizon drift and interactive latency. What is LingBot-World-Infinity? An interactive world model generates video frame by frame, conditioned on a stream of…

Read Full News

After Apple, India’s smartphone manufacturing boom enters new phase with Vivo JV

India on Thursday approved a manufacturing joint venture between China’s Vivo and local manufacturer Dixon Technologies, a move that could mark the next phase of the country’s smartphone manufacturing boom after Apple helped turn India into a global smartphone production hub. The approval allows Vivo to proceed with a long-delayed manufacturing partnership first announced in…

Read Full News

OpenAI Releases GPT-Live and GPT-Live-1 mini: Full-Duplex Voice Models That Delegate Deeper Reasoning to GPT-5.5

“””Illustrative simulation of the GPT-Live full-duplex decision loop. Teaching model of the described architecture, NOT the real API.””” import random random.seed(7) # reproducible output class BackgroundModel: # stands in for GPT-5.5 def run(self, query): return f”answer to ‘{query}'” class GPTLive: def __init__(self, background): self.background = background self.pending = None # a delegated task, if one…

Read Full News

Meet Nemotron Labs 3 Puzzle 75B A9B: A Compressed Hybrid MoE LLM Delivering 2.03x Server Throughput

Large hybrid MoE models like Nemotron-3-Super are accurate but expensive to serve. Their active parameters, KV cache, and Mamba state cap how many users a node can hold at a given per-user token rate. NVIDIA AI team has released Nemotron-Labs-3-Puzzle-75B-A9B, a compressed variant of Nemotron-3-Super. The parent model has 120.7B total and 12.8B active parameters….

Read Full News