27 Jun Taking the Fast Bridge between Neural Networks Neural networks have been around since the 1950s. The advent of fast, massively parallel processors like the Graphics Processing Unit (GPU) have made neural network applications like object recognition feasible. Neural networks are one means used to create Artificial Intelligence (AI). The latest iPhones now have an AI chip, primarily to offload face recognition tasks.1 Voice translation tasks would also benefit from an AI chip. Google provides voice translation as long as there is access to a cloud. The ability to translate directly from a phone without requiring Internet access to Google engines would be advantageous, and it’s possible that the iPhone is headed in that direction. Read more...
16 Jun VPX Technology Development Trends Security is a critical challenge for a wide range of embedded systems applications. System integrators must optimize operational capability, maximize competition for systems development, ensure interoperability, and maintain commonality to reduce life-cycle cost. Read more...
03 Jun Understanding the Test Criteria of Optical Fiber Transceivers Used in Space In space, high performance components must be able to deliver reliably in the punishing environment. It is optical transceivers that drive transmissions, converting signals to and from a copper-resident format. Fiber optics communications provide high bandwidth and low latency signaling. Signal transmissions through fiber optic cables (FOCs) provide immunity to EM/RFI interference, crosstalk, and voltage level surges. Fiber optics’ accuracy and reliability exceeds traditional cabling. Covering 1,000 feet requires four pounds of FOC versus 39 pounds of copper wiring, and fiber optics also consume less energy than copper. To convert electrical signals from circuitries with copper output to fiber optics, optical fiber transceivers are usually required. Read more...