System Bits: June 18


Another win for aUToronto Photo credit: University of Toronto The University of Toronto’s student-led self-driving car team racked up its second consecutive victory last month at the annual AutoDrive Challenge in Ann Arbor, Mich. The three-year challenge goes out to North American universities, offering a Chevrolet Bolt electric vehicle to outfit with autonomous driving technology.... » read more

Thinking Differently About IIoT Analytics


Manufacturers are rushing to keep up with the latest technology trends and perhaps the most significant ones are around the smart factory. Whether you call it Industry 4.0, Smart Manufacturing or the Industrial Internet of Things (IIoT), what all these initiatives have in common is the desire to maximize value from manufacturing data and improve overall manufacturing efficiency. With the ave... » read more

Week in Review: IoT, Security, Auto


Products/Services Mentor, a Siemens Business, announced the release of the final phase of the Valor software New Product Introduction design-for-manufacturing technology, automating printed circuit board design reviews. The company has integrated DFM technology into the Xpedition software layout application. Arteris IP reports that Toshiba has taped out its next-generation advanced driv... » read more

Building Your First Chip For Artificial Intelligence? Read This First


As artificial intelligence (AI) capabilities enter new markets, the IP selected for integration provides the critical components of the AI SoC. But beyond the IP, designers are finding a clear advantage in leveraging AI expertise, services, and tools to ensure the design is delivered on time, with a high level of quality and value to the end customer for new and innovative applications. Over... » read more

HBM2e Offers Solid Path For AI Accelerators


Today, AI processors are so blazingly fast that they’re constantly having to wait for data from memory. Unfortunately, with the status quo, memory is just not fast enough to unleash the true performance of those new and highly advancing AI processors. In simple terms, AI processor performance is rapidly growing, and memory is not keeping up. This creates a bottleneck, or what Rambus calls the... » read more

Memory Options And Tradeoffs


Steven Woo, Rambus fellow and distinguished inventor, talks with Semiconductor Engineering about different memory options, why some are better than others for certain tasks, and what the tradeoffs are between the different memory types and architectures.     Related Articles/Videos Memory Tradeoffs Intensify In AI, Automotive Applications Why choosing memories and archi... » read more

Data Confusion At The Edge


Disparities in pre-processing of data at the edge, coupled with a total lack of standardization, are raising questions about how that data will be prioritized and managed in AI and machine learning systems. Initially, the idea was that 5G would connect edge data to the cloud, where massive server farms would infer patterns from that data and send it back to the edge devices. But there is far... » read more

Week In Review: Manufacturing, Test


Market research IC Insights has released its forecast for chips in terms of applications. Communications is still the biggest IC market, but automotive is growing the fastest. In its first forecast of artificial intelligence (AI) edge processors, International Data Corp. (IDC) estimates that worldwide shipments of AI-optimized processors for edge systems will reach 340.1 million units in 20... » read more

Week in Review: IoT, Security, Auto


Products/Services Achronix Semiconductor selected the Rambus GDDR6 PHY for its next-generation Speedster7t line of field-programmable gate arrays. The Rambus GDDR6 PHY is used in advanced driver-assistance systems, artificial intelligence, graphics, machine learning, and networking applications. Arm and Marvell Technology Group will work together on design and development of Marvell’s nex... » read more

Artificial Intelligence: Let Us Get The Math Right First!


Artificial intelligence is a hot topic these days and therefore doesn’t require a repeat of the current and future potential uses for AI. For most people, it means technology advancements on the software side. But if you ask people who are very close to this technology domain, building your own optimized hardware chips is where a significant part of the competitive edge lies. A few days ba... » read more

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