Programmers trying to write all the possible scenarios needed for truly autonomous vehicles face a daunting challenge. Deep learning, in which computers learn a desired behavior using artificial intelligence and neural network concepts, could be a viable solution.
A team of researchers from the Cockrell School of Engineering at The University of Texas at Austin have developed a mutant yeast strain that could lead to a more efficient and economical biofuel production process, and from non-food sources.
The move into active safety systems is increasing the need for high-reliability software. AdaCore, a tool supplier that’s used in many aerospace applications, is responding to this demand with tools that can be used by the automotive industry.
In the area of electronics enclosures, traditional metal structures conduct and spread heat over large surfaces, but composites act as insulation. Heat generated by components causes internal temperatures to rise and has detrimental impact on the performance and reliability of the electronics.
The company has expanded its additive manufacturing material capabilities to support metal 3-D printing of complex high-hardness parts and the ability to customize properties layer-by-layer through “gradient material design.”