Tag Archives: INTEL

Neural Computing on a stick: deep learning hardware becomes affordable

Neural Computing StickThe Neural Compute Stick 2 (NCS2), the latest incarnation of Intel’s USB-stick with Artificial Intelligence hardware inside, makes working with Artificial Intelligence affordable. Target environments are embedded IoT applications. This compact, fanless computer-vision and deep-neural-network (DNN) accelerator is now shipping through RS Components (RS), the trading brand of tech company Electrocomponents plc.

As well as for use by data scientists and academics, the device is said to be ideal for a wide selection of developers and engineers looking at integrating computer-vision and artificial intelligence (AI) capabilities into their Internet of Things (IoT) applications. Available in the convenient USB form factor, the stick is enabling deep-learning prototyping on a laptop or any other computing device with a USB interface.

This new hardware could be used to start prototype one of the most valuable deep learning applications in Diagnostic Imaging: the detection algorithm to localize structures (for example) in 2D or 3D space, detection of lung nodules or liver metastases on CT images.

The NCS 2 also becomes a highly versatile prototyping and development tool when combined with the Intel Distribution of OpenVINO toolkit, which offers support for deep learning, computer vision and hardware acceleration to enable applications that have human-like vision capabilities.

Click here for more…

Intel’s 15 billion reasons why an AI Chip revolution has arrived

Intel AIAI isn’t just changing internet services, cars, robotics, and healthcare. It’s changing the computer chip market too. This shift was underlined when Intel said it would pay $15.3 billion to acquire Mobileye, an Israeli company that makes chips and cameras for cars and trucks, including the self-driving variety. The purchase will be Intel’s second largest ever, following its $16.7 billion acquisition of chip-maker Altera in 2015. The Altera buy was also driven, in part, by the recent rise of machine learning, where machine can learn discrete tasks on their own. Click here for more…

Author: Klint Finley