A team of researchers has designed a completely new camera imaging system based on AI interpretations of heat signatures. Once refined, “heat-assisted detection and ranging,” aka HADAR, could one day revolutionize the way autonomous vehicles and robots perceive the world around them.

“They’re trying to send a strategic message, without any doubt,” said Vijay Raghunathan, a professor and director of semiconductor education at Purdue University. “They are looking at the levers that are available in their control, and something at the right level where it’s not a dramatic escalation but at the same time it sends a very clear message.”

The Krach Institute for Tech Diplomacy at Purdue continues to expand its deep network of technology experts with the addition of Purdue Assistant Professor Christopher G. Brinton as a Research Fellow, who brings expertise at the intersection of networking, communications, and machine learning.

A growing number of Russian cyberattacks have targeted businesses, schools and federal agencies in the U.S. The Department of Defense is putting pressure on software producers to be more transparent about what is inside their products.

To keep up with the U.S.’s manufacturing goals set out in the CHIPs for America and CHIPS and Science Acts, the U.S. must invest in its workforce, according to panelists that spoke during a summit hosted by Purdue University on Tuesday.

Universities in the United States, India, and South Korea are launching specialist talent programmes to boost their domestic chipmaking sectors.

As the field matures, its researchers are finding practical applications in solar-energy harvesting, chemical manufacturing, optical refrigeration, and energy-efficient computing.

Purdue University researchers have improved upon traditional solar energy structures used in agrivoltaic farming, a sustainable system that generates electricity from the sun while row crops like corn, rice, soybeans and wheat concurrently grow on the same land.

Purdue is partnering with tech companies and researchers in Europe, Japan and India to share knowledge and prepare students for careers in advanced semiconductor technology and microelectronics.

AI black boxes refer to AI systems with internal workings that are invisible to the user. You can feed them input and get output, but you cannot examine the system’s code or the logic that produced the output.