Using Analog For AI


If the only tool you have is a hammer, everything looks like a nail. But development of artificial intelligence (AI) applications and the compute platforms for them may be overlooking an alternative technology—analog. The semiconductor industry has a firm understanding of digital electronics and has been very successful making it scale. It is predictable, has good yield, and while every de... » read more

Finding Defects In Chips With Machine Learning


Chipmakers are using more and different traditional tool types than ever to find killer defects in advanced chips, but they are also turning to complementary solutions like advanced forms of machine learning to help solve the problem. A subset of artificial intelligence (AI), machine learning has been used in computing and other fields for decades. In fact, early forms of machine learning ha... » read more

Domain Expertise Becoming Essential For Analytics


Sensors are being added into everything, from end devices to the equipment used to make those sensors, but the data being generated has limited or no value unless it's accompanied by domain expertise. There are two main problems. One is how and where to process the vast amount of data being generated. Chip and system architectures are being revamped to pre-process more of that data closer to... » read more

Designing An AI SoC


Susheel Tadikonda, vice president of networking and storage at Synopsys, looks at how to achieve economies of scale in AI chips and where the common elements are across all the different architectures. https://youtu.be/fm0kxnj3DuM » read more

Week in Review: IoT, Security, Auto


Internet of Things Dialog Semiconductor is shifting its product portfolio away from smartphones following its pending $600 million deal with Apple. The chip company is looking toward connected-health products and video-game consoles for future growth. The connected-health devices, developed in collaboration with pharmaceutical firms, would monitor blood pressure and check glucose levels, accor... » read more

AI: Where’s The Money?


A one-time technology outcast, Artificial Intelligence (AI) has come a long way. Now there’s groundswell of interest and investments in products and technologies to deliver high performance visual recognition, matching or besting human skills. Equally, speech and audio recognition are becoming more common and we’re even starting to see more specialized applications such as finding optimized... » read more

Chip Design For The Age Of New Mobility


In the new age of mobility, vehicles are valued more and more for their electronic features instead of mechanical specifications. As a result, companies that are able to own and optimize the design of these critical electronics will capture more of the available profit. This is bringing traditional automotive manufacturers into the electronics business, while simultaneously attracting tech comp... » read more

How To Build An Automotive Chip


The introduction of advanced electronics into automotive design is causing massive disruption in a supply chain that, until very recently, hummed along like a finely tuned sports car. The rapid push toward autonomous driving has changed everything. This year, Level 3 autonomy will begin hitting the streets, and behind the scenes, work is underway to design SoCs for Level 4. But how these chi... » read more

February ’19 Startup Funding: Big Cash Keeps Rolling In


Sixteen startups received private funding rounds of $100 million and up during February, including three that took in 10-figure rounds. Those 16 companies raised more than $8 billion in total. The SoftBank Vision Fund invested $1.5 billion in China's Chehaoduo, an online car trading group that includes Guazi.com, a used-car trading platform, and Maodou.com, which retails new sedans through d... » read more

The Winograd Transformation


Cheng Wang, senior vice president of engineering at Flex Logix, explains how the Winograd Transformation applies to convolutional neural networks. https://youtu.be/E7QJUby9x-I » read more

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