AI, Light, and Shadow: Jasper’s New Research Powers More Realistic Imagery
Jasper Research Lab’s new shadow generation research and model enable brands to create more photorealistic images with enhanced realism and depth.
Gemini 2.0 is now available to everyone
We’re announcing new updates to Gemini 2.0 Flash, plus introducing Gemini 2.0 Flash-Lite and Gemini 2.0 Pro Experimental.
Reinforcement Learning for Long-Horizon Interactive LLM Agents
Interactive digital agents (IDAs) leverage APIs of stateful digital environments to perform tasks in response to user requests. While IDAs powered by instruction-tuned large language models (LLMs) can react to feedback from interface invocations in multi-step exchanges, they have not been trained in their respective digital environments. Prior methods accomplish less than half of tasks …
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Trellix lowers cost, increases speed, and adds delivery flexibility with cost-effective and performant Amazon Nova Micro and Amazon Nova Lite models
This post is co-written with Martin Holste from Trellix. Security teams are dealing with an evolving universe of cybersecurity threats. These threats are expanding in form factor, sophistication, and the attack surface they target. Constrained by talent and budget limitations, teams are often forced to prioritize the events pursued for investigation, limiting the ability to …
Designing sustainable AI: A deep dive into TPU efficiency and lifecycle emissions
As AI continues to unlock new opportunities for business growth and societal benefits, we’re working to reduce the carbon intensity of AI systems — including by optimizing software, improving hardware efficiency, and powering AI models with carbon-free energy. Today we’re releasing a first-of-its-kind study1 on the lifetime emissions of our Tensor Processing Unit (TPU) hardware. …
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NOAA Employees Told to Pause Work With ‘Foreign Nationals’
An internal email obtained by WIRED shows that NOAA workers received orders to pause “ALL INTERNATIONAL ENGAGEMENTS.”
A brain-inspired AI technology boosts efficiency and reduces energy consumption
Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological dendrites. This innovative design allows for accurate and robust image recognition while using significantly fewer parameters, paving the way for more compact and energy-efficient AI systems.
Automated Feature Engineering in PyCaret
Automated feature engineering in
Updating the Frontier Safety Framework
Our next iteration of the FSF sets out stronger security protocols on the path to AGI
Adaptive Training Distributions with Scalable Online Bilevel Optimization
Large neural networks pretrained on web-scale corpora are central to modern machine learning. In this paradigm, the distribution of the large, heterogeneous pretraining data rarely matches that of the application domain. This work considers modifying the pretraining distribution in the case where one has a small sample of data reflecting the targeted test conditions. We …
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