Enabling Device Intelligence


The explosive growth in silicon and software for artificial intelligence applications is transforming everything we know about connectivity, energy-efficiency, mobility, and security. Machine learning (ML) techniques are already used in computer vision, object recognition, speech recognition, and big data analytics. Deep learning (DL) algorithms and neural networks are pushing both silicon and ... » read more

The Security Penalty


It's not clear if Meltdown, Spectre and Foreshadow caused actual security breaches, but they did prompt big processor vendors like Intel, Arm, AMD and IBM to fix these vulnerabilities before they were made public by Google's Project Zero. While all of this may make data center managers and consumers feel better in one respect, it has created a level of panic of a different sort. For decades,... » read more

AI’s Long-Term Impact


Artificial intelligence technology will have a significant impact on the world’s economy in the months and years ahead, the McKinsey Global Institute forecasts in a new report. Certain companies and some countries will greatly benefit in the new era of AI, leaving others behind, the business and economics research arm of McKinsey & Co. predicts. The key takeaway points of the report: ... » read more

Intel’s Next Move


Gadi Singer, vice president and general manager of Intel's Artificial Intelligence Products Group, sat down with Semiconductor Engineering to talk about Intel's vision for deep learning and why the company is looking well beyond the x86 architecture and one-chip solutions. SE: What's changing on the processor side? Singer: The biggest change is the addition of deep learning and neural ne... » read more

Week in Review: IoT, Security, Auto


Internet of Things Silicon Labs worked with Norway’s Q-Free to create the ParQSense Smart Parking Sensor, which helps drivers find available outdoor parking spaces. ParQSense uses the chip company’s Wonder Gecko wireless microcontroller for connectivity and control. Having gone through pilot testing in the European Union and North America this year, ParQSense is being released for commerci... » read more

Processing In Memory


Adding processing directly into memory is getting a serious look, particularly for applications where the volume of data is so large that moving it back and forth between various memories and processors requires too much energy and time. The idea of inserting processors into memory has cropped up intermittently over the past decade as a possible future direction, but it was dismissed as an e... » read more

Big Changes For Mainstream Chip Architectures


Chipmakers are working on new architectures that significantly increase the amount of data that can be processed per watt and per clock cycle, setting the stage for one of the biggest shifts in chip architectures in decades. All of the major chipmakers and systems vendors are changing direction, setting off an architectural race that includes everything from how data is read and written in m... » read more

Week in Review: IoT, Security, Auto


Cybersecurity Check Point Software Technologies reports that facsimile machines (yes, people still use them!) can be subject to hacking through vulnerabilities in their communication protocols. The HP Officejet Pro All-in-One fax printers and other fax machines can be compromised with a hacker only knowing a fax number, according to the company. Check Point Research says a design flaw in Andro... » read more

High-Performance Memory At Low Cost Per Bit


Hardware developers of deep learning neural networks (DNN) have a universal complaint – they need more and more memory capacity with high performance, low cost and low power. As artificial intelligence (AI) techniques gain wider adoption, their complexity and training requirements also increase. Large and complex DNN models do not fit on the small on-chip SRAM caches near the processor. This ... » read more

Impact Of IP On AI SoCs


The combination of mathematics and processing capability has set in motion a new generation of technology advancements with an entire new world of possibilities related to Artificial Intelligence. AI mimics human behavior using deep learning algorithms. Neural networks are what we define as deep learning, which is a subset of machine learning, which is yet a subset of AI, as shown in Figure 1. ... » read more

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