Bluesky’s DDoS attack caused outages for a second day, disrupting feeds, notifications, and search across the platform.

A deeper discussion featuring advanced techniques, real world challenges, and expert insights from Eric Yang on scaling RL training systems. #AIResearch #DeepLearning #TechTalk What a US destroyer ...

New Systems Include Counter Mechanics, Talent Trees, Supporting Heroes, and More After years of development and sharing ...

Earth observation (EO) constellations capture huge volumes of high-resolution imagery every day, but most of it never reaches the ground in time for model training. Downlink bandwidth is the main ...

Earth observation nanosatellites capture high-resolution photos of the Earth in near real-time. These images increasingly support ML applications that are critical for safety and response, such as ...

In post-conflict Colombia, Lombo-Caicedo et al. report on the success of a community-based intervention aimed at strengthening the competencies of informal caregivers in remote rural communities. This ...

According to @karpathy, Tinker allows researchers and developers to retain roughly 90% of algorithmic creative control over data, loss functions, and training ...

Ritwik is a passionate gamer who has a soft spot for JRPGs. He's been writing about all things gaming for six years and counting. No matter how great a title's gameplay may be, there's always the ...

Explore the evolution of decentralized AI training, including its architectures, challenges, and opportunities, as reported by Galaxy Research. Discover how decentralized networks are reshaping AI ...

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...