For decades, psychology’s conversation about adversity focused largely on disease or disorder: what trauma breaks, how violence harms, and why suffering lingers. Sherry Hamby has spent much of her ...

Abstract: The sparsely-activated Mixture-of-Expert (MoE) techniques support scaling the parameter sizes of pre-trained models to the trillion-level without increasing the computational costs. However, ...

Attention is a fundamental building block of large language models (LLMs), so there have been many efforts to implement it efficiently. For example, FlashAttention leverages tiling and kernel fusion ...

Abstract: Current Federated Learning (FL) platforms remain limited in scope and largely rely on centralized architectures, which are inadequate for complex real-world scenarios. There is also a lack ...

Framework’s ultra-repairable PCs are, by their nature, open platforms. So it seemed strange for the company’s founder and CEO, Nirav Patel, to call its latest “Pro”-level Framework Laptop with its new ...

PCWorld highlights the Framework Laptop 13 Pro’s transformation into a premium device with solid aluminum construction, addressing previous models’ build quality issues while maintaining modular ...

Framework has been selling and shipping its modular, repairable, upgradable Laptop 13 for five years now, and in that time, it has released six distinct versions of its system board, each using fresh ...

Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for enterprise AI. The machine learning talent pool almost universally writes code ...

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).

PARIS, April 8, 2026 /PRNewswire/ -- PyTorch Conference EU – The PyTorch Foundation, a community-driven hub for open source AI under the Linux Foundation, today announced that Safetensors has joined ...

A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value caches — enhanced with a comprehensive, research-grade ...