Veo 3.1 Lite Released
Veo 3.1 Lite is a cost-effective video generation model available in paid preview. It can be accessed through the Gemini API and tested in Google AI Studio.
All AI stories, newest first.
Veo 3.1 Lite is a cost-effective video generation model available in paid preview. It can be accessed through the Gemini API and tested in Google AI Studio.
Researchers propose a new method for sequential clinical diagnosis using uncertainty-guided latent diagnostic trajectory learning. This approach addresses the challenge of learning effective diagnostic trajectories under uncertainty.
ReVEL is a framework that uses large language models for iterative reasoning in combinatorial optimization. It embeds LLMs within an evolutionary algorithm to design effective heuristics.
Quantum computers can break vital encryption with fewer resources than thought. This increases the threat to elliptic curve cryptosystems.
Pramana is a novel approach to fine-tune large language models for epistemic reasoning. It aims to address the epistemic gap in AI, where models struggle to ground claims in traceable evidence.
PaperOrchestra is a multi-agent framework for automated AI research paper writing. It transforms pre-writing materials into submission-ready manuscripts, including literature synthesis and generated visuals.
OpenAI has secured $122 billion in new funding to expand its AI capabilities globally. This investment will support the development of next-generation compute and meet growing demand for its AI models.
New attacks exploit GPU memory to hijack CPUs. GDDRHammer, GeForge, and GPUBreach give attackers complete control.
MMORF is a framework for designing multi-objective retrosynthesis planning systems. It leverages language model-based multi-agent systems to balance quality, safety, and cost objectives.
Meta is reentering the AI race with Muse Spark, its first new model since overhauling AI efforts. The model will power various Meta platforms.
MegaTrain enables full precision training of large language models on a single GPU. It stores parameters in host memory and uses GPUs as compute engines.
MegaTrain enables full precision training of large language models on a single GPU. It achieves this by storing parameters in host memory and using GPUs as compute engines.
A new mathematical theory models the evolution of self-designing AIs. This theory differs from biological evolution due to directed descendant design.
Lyria 3 is available for paid preview and testing. It generates music through the Gemini API and Google AI Studio.
Japan has eased its privacy laws to become a more attractive location for AI development. The move aims to make Japan the easiest country to develop AI in.
A supply-chain attack using invisible Unicode code has affected GitHub and other repositories. The attack exploits code that is invisible to the human eye.
Google has bumped up its Q Day deadline to 2029, warning the industry to move off RSA and EC quickly. This deadline is sooner than previously thought.
Google introduces Flex and Priority inference tiers to balance cost and latency in the Gemini API. This move aims to provide more options for developers.
Gemini in Google Sheets has reached state-of-the-art performance with new beta features. These features enable users to create, organize, and edit sheets using descriptive tasks.
Gemini 3.1 Flash Live is now available, enhancing audio AI. This update aims to make audio interactions more natural and reliable across Google products.