DeepSeek trained V4 Flash on 32 trillion tokens worth of training data. The company used an algorithm called Muon to speed up ...
The Scenario Evolution Process (SEP) is a global, research community-led initiative to evaluate and update the Shared Socioeconomic Pathways (SSPs). Although the outcome of this process is not ...
Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference. Extremely powerful ...
A slippery droplet microarray enables parallel 3D bioprinting of separated, immersed hydrogel models, cutting array fabrication time from hours to minutes. (Nanowerk Spotlight) Testing many biological ...
Sui object-based model allows transactions to run in parallel, removing the sequential bottleneck seen on Ethereum and Solana. Move, Sui’s native programming language, reduces smart contract ...
PT symmetry enforced twin exchange as the origin of chirality-induced spin selectivity In this work, we have demonstrated that the MultiQ-IT platform holds substantial promise for enabling massively ...
High-performance computing (HPC) plays a critical role in scientific discovery, engineering simulation, and data-intensive applications. Open Multi-Processing (OpenMP) is one of the most widely ...
How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...
Cursor’s new Composer model, built for low-latency agentic coding, completes most iterations in under 30 seconds, according to Anysphere. Anysphere has introduced Cursor 2.0, an update to the AI ...
To understand speech, the brain generates a hierarchy of neural representations, which map from sound to meaning. We recorded whole-brain activity while participants listened to audiobooks and modeled ...
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