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videantis GmbH recently announced its new v-MP6000UDX visual processing architecture and v-CNNDesigner tool. The new processor is claimed to increase deep learning algorithm performance by up to three orders of magnitude, while maintaining software compatibility with the already very powerful and successful v-MP4000HDX architecture. In automotive videantis has seen a lot of growth due to the industry’s rapid adoption of advanced driver assistance systems (ADAS). The technology has been adopted by several leading semiconductor companies and OEMs and is already on the road in millions of vehicles. Another area of growth is in virtual and augmented reality (AR). A recent trend is to bring deep-learning-based algorithms to the embedded vision systems. Deep learning requires orders of magnitude more compute and bandwidth capabilities though, which videantis says it addresses with its new v-MP6000UDX architecture.

Even though many people may prefer RS-232 to make their circuit communicate with a computer, it is easy enough to implement a USB device mode, even with a small 8-bit microcontroller. The advantages are obvious: you save the cost of a USB/RS232 converter and USB devices such as keyboards and mice can be emulated without needing a separate driver.

The quantity of digital data generated by companies continues to grow. Cloud technology offers a convenient solution for this: IT providers offer storage space and software, which allows data to be stored decentralized. But can companies trust that this data is not abused by others or gets deleted? Researchers from the Technical University of Munich (TUM) have studied this problem and have developed a model that allows service providers to be checked and certified...

When a piece of hardware is insecure and may become a potential target for malware attacks, things become complicated. When a vulnerability is identified in the processor itself, hell breaks loose.

Rigetti Computing have demonstrated that one of their superconducting quantum processors is capable of performing a type of machine learning that may contribute significantly to artificial intelligence (AI). Reportedly unsupervised machine learning was observed on Rigetti’s 19-qubit superconducting quantum processor, the 19Q. Unlike supervised machine learning, where the output of an algorithm is known based on "labeled" training data, unsupervised machine learning offers the potential to solve complex problems using just input data, with no training data set and where outcomes are unknown.

The 14th December 2017 is likely to go down in history as the day internet neutrality was abolished. On this day, the commission of the American FCC will vote on a proposal to lift the Open Internet Order put in place in 2015 by the previous administration...

All Raspberry Pi users must think about putting it in a case. And there are a lot of them. The Pi Desktop presented here seems to fit into this category, but offers some other functions. This kit transforms the RPi into a regular desktop computer, discreet, but convincing. It also allows the connection of an SSD mass storage device and also adds a managed, safe power off and on of the RPi.

Microchip announces the ATECC608A CryptoAuthentication™ device, a secure element that allows developers to add hardware-based security to their designs, and a Security Design Partner Programme for connecting developers with third-party partners that can enhance and expedite secure designs.

The impressively powerful i9-7980XE CPU from Intel boasts not just 18 cores and 36 threads but also an unlocked clock multiplier. The spec was clearly an open invitation to Roman Hartung who has something of a reputation when it comes to overclocking processors. In tests he was able to crank up the clock of this beast to 5.7 GHz at which point the CPU draws around 1kW of power.

With the release of extremely powerful microcontrollers and development kits recently, artificial intelligence (AI) by way of neural networks is now within reach of keen programmers seeking a challenge beyond programming. “Homebrew AI” was long thought impossible but now the Jetson TX1 and TX2 are claimed by their maker NVIDIA “to put the power of an AI supercomputer in the palm of your hand.” A good $600 now buys you hardware capable of running fairly deep neural networks whilst offering support for the latest technology in graphics, GPU computing, computer vision and more.