9 results for “foundation models”
Black Forest Labs has introduced FLUX 3, a new multimodal foundation model that jointly learns from images, video, and audio within a single unified. The unified multimodal approach addresses a fundamental limitation of modality-specific.
IBM Research released the Granite Time Series PatchTST-FM-r2 model on Hugging Face under an Apache 2.0 license. The open-weight 0.4B model removes key adoption barriers for enterprises.
Two dozen companies and organizations have signed an open letter urging United States policymakers to protect open-weight artificial intelligence models. The letter carves out space for one technique that has become contentious in AI.
Google DeepMind CEO Demis Hassabis is calling for a new kind of international AI watchdog, one that could evaluate the most powerful frontier models. The proposal comes at a time when AI systems are improving quickly in reasoning, coding.
Adobe, Saudi Arabia's MCIT, and HUMAIN announced a $4 billion partnership at LEAP 2026 giving 27 million citizens free access to Firefly Standard and Express Premium for 12 months. The deal includes a co-developed AI image model tuned to Saudi culture and Arabic prompts, plus national upskilling through Adobe Digital Academy.
IBM and Confluent brought Granite Time Series models to Early Access on Confluent Cloud, letting teams run forecasting and anomaly detection on streaming data via Flink SQL — without a separate ML stack.
SenseTime has released the preview version of SenseNova U1.5-Lite-Preview, a lightweight unified multimodal model that packs 8 billion. The release arrives at an inflection point where the multimodal model competition is shifting from raw.
First-day brief (Aug 5, 2026): four Google AI researchers leave to launch Discovery Loop. Superseded for depth by Brocker’s later PBC analysis — use this for the initial departure framing only.
NVIDIA has introduced two new Jetson Thor modules aimed at bringing more capable AI workloads to robots and edge devices. The Jetson T3000 and T2000 are designed for systems that need to process vision, language and sensor data locally.