This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Growing use cases include life science AI, reducing memory and I/O bottlenecks, data prepping, wireless networking, and as ...

The company has not disclosed pricing or full availability timelines, but is framing Leo as an "enterprise-grade" platform ...

Beyond simplicity, a unified architecture improves performance. By reducing the number of "north-south" and "east-west" communications between modules, an Infrastructure OS reduces CPU and memory ...

As emerging two-dimensional (2D) materials, carbides and nitrides (MXenes) could be solid solutions or organized structures made up of multi-atomic layers. With remarkable and adjustable electrical, ...

For decades, the search for extraterrestrial intelligence has been defined more by silence than discovery, but that balance ...

Researchers developed 3D flash memory chips that help self-driving vehicles plan optimal routes, using 74% less energy.

As artificial-intelligence workloads explode, the energy cost and latency of shuttling data between discrete sensors, memory and processors have ...

A joint research team has made important progress in the field of photoneutron cross section measurement. The team proposed a substitution measurement method that avoids the use of expensive and ...