AI Briefing#foundation-model
The latest AI and developer news about #foundation-model, with the original source and a short summary.
The latest AI and developer news about #foundation-model, with the original source and a short summary.
The Qwen development team teased the launch of a 27B model and key specifications for upcoming models.
LG AI Research has released its open-source model K-EXAONE 2.0 via Hugging Face.
SKT unveiled the A.X-K2 model series as part of Korea's sovereign AI project.
Ai2 has unveiled a geospatial foundation model and inference platform that processes large-scale satellite data.
FLUX 3, a multimodal model that jointly trains on images, video, and audio to understand the physical laws of the world, has been unveiled.
OpenAI and Anthropic have jointly called on the Trump administration to introduce regulations, citing the risks of open-weight models.
Zyphra has released ZUNA1.1, an open foundation model under Apache 2.0 that restores, denoises, and upsamples EEG signals from arbitrary channel layouts.
Anthropic reportedly did hold actual acquisition talks with robotics AI startup Physical Intelligence.
Google officially announced that it has begun its most ambitious pre-training run to date.
A domestic startup unveiled Aether-7B-5Attn, a fully open-source foundation model that discloses both its training data and code.
Xiaomi has unveiled a robot foundation model trained on 100,000 hours of embodiment-free data.
Motif, a participant in Korea's AI foundation model project, has unveiled a new model, Motif 3 Beta.
Inertia-1, a motion foundation model universally applicable across diverse sensors and body parts, has been released.
Alibaba has announced the upcoming release of the 2.4T-parameter Qwen3.8 model along with an open-weight release.
Google Cloud used agentic workflows to cut foundation model migration time from months to hours.
Introduces the latest Computer Vision (CV) research trends and key papers from LG's participation in NeurIPS 2023.
This piece examines the concept of foundation models for handling time series data and their classification based on how they utilize LLMs.
This introduces the latest research methodologies of Foundation models for tackling time series data, classified according to how they utilize LLMs.
LG AI Research introduces the latest research trends in foundation models presented at ICLR 2024, focused on interpretability, sustainability, and safety.
This introduces the latest research trends presented at ICLR 2024 regarding the generalization ability, efficiency, and safety of Foundation Models.
Covers the evolution of LLMs, foundation models, and technical advances through efficient MoE architecture.
A look at efficient training methodologies and the latest technology trends for foundation models, which serve as the basis of LLMs.
NVIDIA unveiled the Jetson T3000/T2000, compact high-performance modules for robots and edge AI.