When it comes to battery innovations, much attention gets paid to potential new chemistries and materials. Often overlooked is the importance of production processes for bringing down costs.

An improvement to a Nobel Prize-winning technology called a frequency comb enables it to measure light pulse arrival times with greater sensitivity than previously possible—potentially improving measurements of distance along with applications such as precision timin

Taking advantage of a phenomenon known as emergent behavior in the microscale, MIT engineers have designed simple microparticles that can collectively generate complex behavior, much the same way that a colony of ants can dig tunnels or collect food.

While traditional image processing software relies on task-specific algorithms, deep learning software uses a network to implement user-trained algorithms to recognize good and bad images or regions.

A new deep-learning framework developed at the U.S. Dept. of Energy’s Oak Ridge National Laboratory is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results.

‘You see, but you do not observe,” Sherlock Holmes told Dr. Watson in Sir Arthur Conan Doyle’s (1891) A Scandal in Bohemia.

BlackRock CEO Larry Fink claimed in a

Operating a desktop FFF 3D printer can be a ton of fun, except when you make mistakes. Mistakes can cause print failures, and also embarrassment when they are so obvious you really should not have made them.

The inability to gather good data has challenged many food manufacturers for decades. But not anymore.

In 2004, the United States’ Defense Advanced Research Projects Agency (DARPA) dangled a $1 million prize for any group that could design an autonomous car that could drive itself through 142 miles of rough terrain from Barstow, California, to Primm, Nevada.