Digital Immersion: The Next Step Towards The Future Of Mobile Devices And Connectivity


In considering how far we’ve come with mobile devices just in the last two decades, it’s entertaining to think about the next ten years. When asking the new power users, Generation Z or the “digital natives,” a couple of key themes emerge, both for mobile devices, as well as for the networks they reside in. Some key advancements have been made this week with the announcement of Arm’s ... » read more

Spiking Neural Networks: Research Projects or Commercial Products?


Spiking neural networks (SNNs) often are touted as a way to get close to the power efficiency of the brain, but there is widespread confusion about what exactly that means. In fact, there is disagreement about how the brain actually works. Some SNN implementations are less brain-like than others. Depending on whom you talk to, SNNs are either a long way away or close to commercialization. Th... » read more

Inference Moves To The Network


Machine-learning inference started out as a data-center activity, but tremendous effort is being put into inference at the edge. At this point, the “edge” is not a well-defined concept, and future inference capabilities will reside not only at the extremes of the data center and a data-gathering device, but at multiple points in between. “Inference isn't a function that has to resid... » read more

Big Growth Areas: Connectivity, AI, Reliability


Connectivity and artificial intelligence (AI) will be the biggest drivers for 2020, with an emphasis on improved reliability across all areas. New standards, new applications, and new pressures being placed on old technology will created boundless opportunities for those ready to fill the need. Of course, there will also be a lot of carnage along the way, and we can expect to see a lot of that ... » read more

System Bits: July 15


Automating bridge inspections with robotics The University of Waterloo has come up with robotics that could be used in automated inspection of bridges, making sure such critical infrastructure is safe and sound. The technology promises to make bridge inspection cheaper and easier. The system collects data for defect detection and analysis through a combination of autonomous robots, cameras,... » read more

Week In Review: Design, Low Power


Tools & IP Cadence introduced the Tensilica Vision Q7 DSP, which provides up to 1.82 TOPS and is specifically optimized for simultaneous localization and mapping (SLAM). The DSP has a very long instruction word (VLIW) SIMD architecture, an enhanced instruction set supporting 8/16/32-bit data types and optional VFPU support for single and half precision, and a number of iDMA enhancements in... » read more

Gearing Up For 5G


5G has been touted as the new enabler for many market segments, including mobile phones, automotive, virtual reality, and IoT. But there are many questions and much speculation about when and how this new wireless standard will impact different market segments and what effect it will have on semiconductor design. With a promise of orders of magnitude improvement in communication speed an... » read more

Week in Review: IoT, Security, Auto


Deals Arm acquired Treasure Data, which offers a data management service. Financial terms weren’t revealed, although the transaction is reportedly worth $600 million. Joyce Kim, Arm’s chief marketing officer, told reporters that the purchase is “the largest cash deal we’ve done.” Along with the company’s introduction of Mbed Cloud (a device management service) last year and the acq... » read more

Five Features Of The ‘Always-On’ Mobile Experience


Today’s technology consumers – labeled as the ‘always on, always connected’ generation – are some of the most demanding when it comes to what they expect from their devices for work and play. Not only do consumers want devices that are able to manage their multiple demands on the go – from mobile gaming to video streaming – but they also want devices to work continuously without t... » read more

Mobile Machine Learning Hardware At Arm


Machine learning is playing an increasingly significant role in emerging mobile application domains such as AR/VR, ADAS, etc. Accordingly, hardware architects have designed customized hardware for machine learning algorithms, especially neural networks, to improve compute efficiency. However, machine learning is typically just one processing stage in complex end-to-end applications, which invol... » read more

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