The Intel Nervana Neural Network Processor (NNP) promises to improve processing efficiency for artificial intelligence (AI) using an architecture focused on the data type, parallelism, high-speed interconnects and Flexpoint, but data ingestion is an issue for high-end, critical applications of AI.
With six TV channels, 58 radio stations, 1,500 webpages updated daily, 28 broadcast languages and 348 million global viewers per week, the British Broadcasting Company (BBC) has a constantly expanding reach. The necessity to keep viewers happy and interested in BBC content is ever-present. But with that necessity comes the need for digital identity management, which led the BBC to integrate a one-stop-shop solution, the ForgeRock Identity Platform.
The arrival of embedded vision signifies a new era of machine vision that connects customers’ presence, gestures and identity to retailers’ databases and digital signage to optimize messaging and sales. How will we use this?
IoT has opened the door to rapid innovation but wireless/RF devices come with their own set of test problems that can slow down a design if established practices aren’t coupled with new test technologies.
Every worker, tool, machine, and widget on your factory floor holds a wealth of information that improve your operations. What if you could set that data free?
A combination of context awareness, machine learning and an optimized processing architecture makes advanced, low-latency voice analysis, processing and response possible on edge devices.
A new 17-qubit quantum computing chip foretells increased emphasis on new architectures to solve the data-crunching problems that arise for IoT and advanced research.
Intel technologies are setting a new standard for safer, smarter, more efficient and less invasive research expeditions to protect our environment and gain further knowledge about the animal and human condition.