But challenges await, including technical issues, regulatory barriers and many miles of highway.

Making sense of ML performance and benchmark data is an ongoing challenge. In light of last week’s release of the most recent MLPerf (v1.1) inference results, now is perhaps a good time to review how valuable (or not) such ML benchmarks are and the challenges they face. Two researchers from Purdue University recently tackled this issue in a fascinating blog on ACM SIGARCH – An Academic’s Attempt to Clear the Fog of the Machine Learning Accelerator War.

An innovation by Purdue University researchers could help the semiconductor industry design transistors that are smaller, use less power and switch from on to off at smaller applied voltages. As a result, the innovation could lead to better and more powerful central processing unit generations, which can compute more operations with less energy.

Researchers have found that a material can mimic the sea slug’s most essential intelligence features. The discovery is a step toward building hardware that could help make AI more efficient and reliable for technology ranging from self-driving cars and surgical robots to social media algorithms.

“Through studying sea slugs, neuroscientists discovered the hallmarks of intelligence that are fundamental to any organism’s survival,” says Shriram Ramanathan, a professor of materials engineering at Purdue University. “We want to take advantage of that mature intelligence in animals to accelerate the development of AI.”

In this study, researchers used titanium nitride to achieve HHG in refractory metals for the first time. In the future, this could pave the way to focusing the radiation down to nanoscale for use in nanomachining, nanofabrication and medical applications, as well as HHG enhancement for the generation of frequency combs for the next generation of nuclear clocks.

Efficient farming and agricultural decision-making will increasingly depend on usable farm-level data and software. But just because something is technically possible doesn’t mean it is simple to figure out. Working through the headaches to get data and systems to work well together is one of the chief aims of a group of engineers and scientists at Purdue University.

This project is part of Advancing Sustainability through Powered Infrastructure for Roadway Electrification (ASPIRE), a National Science Foundation-funded research and development initiative to accelerate sustainable and equitable transportation electrification. Purdue's Pekarek says being part of this type of consortium is beneficial for information sharing to advance the technology.

Modern smartphones feature a 'dark mode' setting that alters the appearance of what you see on-screen by using a theme with darker colors, especially black.

Cybersecurity expert Santiago Torres-Arias and Sandwire CEO and Kaseya MSP partner Adam Schwam talk about the need for vendors to secure the software supply chain against incidents like the recent REvil ransomware attacks.

The Indiana Department of Transportation and Purdue University want to build a stretch of highway that would charge electric cars as they drive. INDOT said electrifying the state’s highways would reduce pollution and support Indiana companies that make parts for new electric heavy trucks.