Lance Fortnow on the current status and future outlook of solving the P-NP problem.

Bringing AI agents and multi-modal analysis to SAST dramatically reduces the false positives that plague traditional SAST and rules-based SAST tools.

Ambient note-generation and encounter-focused summarization can meaningfully decrease pre-visit review and post-visit documentation time, enabling clinicians to reallocate effort toward direct patient ...

Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

A proposed function of TADs is to contribute to gene regulation by promoting chromatin interactions within a TAD and by suppressing interactions between TADs. Here, we directly probe the ...

Ana Sulakvelidze ’24 MBAi views AI as a never-ending puzzle. As an AI product architect at NVIDIA, a company known for designing and manufacturing graphics process units, semiconductor chips and ...

A study reveals random exploration outperforms focused analysis—shedding scientific light on non-ordinary ways of knowing.

Stochastic modelling is the development of mathematical models for non-deterministic physical systems, which can adopt many possible behaviours starting from any given initial condition. Monte-Carlo ...

Explore the future of embedded systems development with Claude Code. Learn how AI tools could deliver high-quality code faster.