Abstract: In this paper, we present a memory-efficient ECG based heartbeat classification for wearable devices enabled by multi-feature fusion and compressed bidirectional long short term memory ...

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

Multiphysics issues are no longer a late-stage problem. Multi-die designs introduce tightly coupled electrical, thermal, electromagnetic, and electromechanical challenges that impact performance and ...

Over the past two years, enterprise memory planning has quietly become one of the hardest problems in infrastructure design. The explosion of AI workloads and the rapid shift of semiconductor capacity ...

Microsoft is moving toward fully automated security operations, using coordinated AI agents. The system is already proving effective in real-world testing. Microsoft believes AI is becoming a core ...

OpenAI recently introduced Daybreak, a cybersecurity initiative that combines its models with Codex to help defenders with secure code review, threat modeling, patch validation, dependency risk ...

Yugabyte, the distributed AI database expert, is debuting Meko, an agent-native data infrastructure designed specifically for multi-agent AI systems that work and learn together. According to Yugabyte ...

The results speak for themselves: 21 of 21 planted vulnerabilities found with zero false positives on a private test driver; 96% recall against five years of confirmed Microsoft Security Response ...

How do multiplate clutches work? An explanation of multi-plate clutches and their inherent advantages over single plate clutches. Also, the difference between wet and dry multi-plate clutches. NEW ...

Semianalysis AI Value Capture – The Shift To Model Labs Anthropic is now making $44 billion per year run rate and this is heading to $100 billion per year by the end of 2026. As of today, Memory ...