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Company Spotlight
NVIDIA
Now Live: The World’s Most Powerful AI Factory for Pharmaceutical Discovery and Development
Meta
Llama 3, PyTorch, AR/VR
Google and the Massachusetts AI Hub are launching a new AI training initiative for the Commonwealth.
Microsoft
A conversation with Kevin Scott: What’s next in AI
OpenAI
GPT-4, ChatGPT, DALL-E
Anthropic
Claude 3.5, Constitutional AI
Latest Signals
Qwen3.5-35B-A3B momentum +2%
Qwen • Qwen3.5-35B-A3B
Qwen3.5-27B momentum +4%
Qwen • Qwen3.5-27B
Qwen3.5-397B-A17B momentum +2%
Qwen • Qwen3.5-397B-A17B
Qwen3.5-122B-A10B momentum +3%
Qwen • Qwen3.5-122B-A10B
The Evolving Landscape of Academic Research Tools in the Digital Age
Daily News • AI News
HEC Makes AI Mandatory for All University Students in Pakistan
Hamariweb Enews • AI News
2026 Hunnan Science and Technology City Conference on Advancing the Deep Integration of Scientific and Technological Innovation with Industrial Innovation Successfully Held
Benzinga • AI News
Reimagining Public Service Delivery with AI: The Future of Citizen-Centric Governance
Express Computer • AI News
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Funding Radar
View allxAI
$6BSeries C • Foundation Models
Databricks
$10BSeries J • AI Infrastructure
Perplexity
$500MSeries B • AI Applications
Physical Intelligence
$400MSeries A • Robotics
AI Education
Keep sharpening fundamentals with 15 lessons and 126+ terms.
Term of the day: World Model
AI Stock Pulse
Meta
Apple
Microsoft
Amazon
Market data delayed. For informational purposes only.
Latest Research
View allMediX-R1: Open Ended Medical Reinforcement Learning
We introduce MediX-R1, an open-ended Reinforcement Learning (RL) framework for medical multimodal large language models (MLLMs) that enables clinically grounded, free-form answers beyond multiple-choice formats. MediX-R1 fine-tunes a baseline vision-language backbone with Group Based RL and a compos...
arXivVGG-T$^3$: Offline Feed-Forward 3D Reconstruction at Scale
We present a scalable 3D reconstruction model that addresses a critical limitation in offline feed-forward methods: their computational and memory requirements grow quadratically w.r.t. the number of input images. Our approach is built on the key insight that this bottleneck stems from the varying-l...