MIT and NVIDIA researchers created a GPU-accelerated algorithm that lets robots plan complex tasks in seconds, boosting industrial efficiency.

Ready for that long-awaited summer vacation? First, you'll need to pack all items required for your trip into a suitcase, making sure everything fits securely without crushing anything fragile.

By contrast, centralized FPGA possess parallel computing capabilities ... this paper proposes a multi-axis motion control structure integrating parallel and sequential control components, where the ...

Abstract: Biological sequence processing is a key of information technology for molecular biology. This scientific area requires powerful computing resources for ... evaluation of the efficiency of ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Accelerated computing speeds up complex tasks using GPUs and AI chips, reshaping industries from finance to healthcare and ...

Data centers and cloud computing need multi-core and multi-socket scalability. And while the basic building blocks can be ...

Fermilab’s SQMS Center is on a mission to realize inherently scalable “qudit-based” quantum computing and quantum ...

Google’s latest I/O event, which took place on Tuesday, showcased a striking expansion of AI across its growing range of products, with new generative tools like Imagen 4 for images, Veo 3 for ...

This means the latest pro version of Gemini will run multiple possible lines of reasoning in parallel, before deciding on how to respond to a query. You could think of it as the AI looking deeper ...