The move to multi-die integration brings both promise and complexity. Scalable interconnects and automation are emerging as ...

Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

While multi-agent AI systems sound great in theory and even practice, without trust mechanisms, these systems can fall apart fast.

Groundbreaking AI consensus platform analyzes 3,434 pull requests, uncovering that 20% are duplicates in one of the world's most popular open-source projects.

The new model claims benchmark improvements and agent capabilities as competition among Chinese AI vendors accelerates.

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Many engineering teams still rely on architecture optimized for transactional apps, not for AI systems that mix structured and unstructured data and live event streams. This legacy architecture has ...

Microsoft EVP of Cloud + AI Scott Guthrie says the goal is to be able to 10X the AI training every 18-24 months. This likely includes maintaining the 2-4X pace of chip improvement. Satya Nadella gave ...

When security researchers submit a vulnerability report to MSRC, the Vulnerabilities and Mitigations (V&M) team reviews it, reproduces the issue, and determines severity. The team reviews all ...

As multinationals embed tax technology into their TP functions, a new breed of systems – built on multi-model databases – is quietly transforming intercompany pricing logic For transfer pricing ...