
Mamba-3: The Next Evolution in State Space Models
Mamba-3 transforms AI sequence processing with unprecedented efficiency gains. Learn how this state space model outperforms transformers while using fewer resources.

Ghostling AI technology helps professionals manage communication overload by learning individual writing styles and generating personalized messages that maintain authentic human connection.

Large language models excel at abstract reasoning but fail at physical tasks. Discover how JEPA, Gaussian splats, and end-to-end generation are solving this critical limitation.

After 32 years at Cornell University, arXiv becomes an independent nonprofit organization. This historic transition reshapes open-access publishing for 2.3 million research papers.

Three new Kitten TTS models have arrived, with the smallest weighing less than 25MB. These compact text-to-speech solutions bring high-quality voice synthesis to resource-constrained devices.

Austin added 25,000+ apartments, proving that aggressive construction can lower rents. Discover how technology accelerated building and reshaped the housing market in this tech hub.

Nightingale is revolutionizing home karaoke with open-source technology that converts any audio file into a singable track. No subscriptions, no limits, just pure vocal-free fun.

Mistral AI has launched Forge, a comprehensive development platform that promises to reshape how developers build and deploy AI applications at scale with European data sovereignty.

New research shows smartwatches can detect insulin resistance with nearly 90 percent accuracy. This breakthrough could identify diabetes risk years before traditional diagnosis.

Kagi Translate introduces LinkedIn Speak as an output language, offering a humorous take on corporate buzzword culture. Learn how this feature transforms everyday text into professional jargon.

Chinese AI startup Z.ai debuts GLM-5 Turbo, a faster, cheaper model designed for autonomous agents and multi-step workflows, but breaks from its open-source roots.

When AI agents lose context mid-task, it's not a model problem. Nvidia's BlueField-4 STX architecture targets the storage bottleneck limiting agentic AI performance at scale.