Browsing: artificial intelligence

Researchers have developed an AI model using transformer architectures to analyze genetic variants and improve ischemic stroke risk prediction.

The new 24-billion-parameter model utilizes a dynamic liquid-inspired architecture to enable high-performance AI tasks on consumer-grade hardware.

The startup introduces Snap, a specialized decision model utilizing sparse attention to process 384,000 tokens for agentic workflows.

The new flagship model utilizes a sparse activation architecture to balance computational efficiency with high-capacity reasoning across 160 languages.

The startup introduces a 501-billion-parameter mixture-of-experts model designed to optimize inference compute for enterprise and sovereign AI deployments.

Recent security incidents in Singapore and Australia highlight critical failures in human-in-the-loop oversight and autonomous agent control protocols.

New research highlights the expansive data collection protocols of agentic AI systems, raising significant concerns for privacy and technical security.

Google introduces a specialized AI model designed for high-compute engineering workflows and long-context reasoning tasks.

Autonomous research agents are accelerating the identification of memory corruption and logic flaws, forcing a shift in how enterprises prioritize software remediation.

The company is expanding its ensemble-based audio analysis platform to replace monolithic models with specialized, high-efficiency signal processing.