tag: AI

Can AI Alter The Burgeoning Design Cost Trend?
By Rich Wawrzyniak - 21 Jun, 2018 - Comments: 0

Everyone in the semiconductor design arena has experienced or at least observed the impact of increasing costs for complex SoC silicon. Semico’s recently released report entitled "Silicon and Software Design Cost Analysis" reveals the cost associated with a first time design effort for a high-end, advanced performance multicore SoC using 7nm process technology can top $195M for both the silic... » read more

Defining Edge Memory Requirements
By Ann Mutschler - 20 Jun, 2018 - Comments: 0

Defining edge computing memory requirements is a growing problem for chipmakers vying for a piece of this market, because it varies by platform, by application, and even by use case. Edge computing plays a role in artificial intelligence, automotive, IoT, data centers, as well as wearables, and each has significantly different memory requirements. So it's important to have memory requirement... » read more

Can Machine Learning Chips Help Develop Better Tools With Machine Learning?
By Vinay Patwardhan - 18 Jun, 2018 - Comments: 0

As we continue to be bombarded with AI- and machine learning-themed presentations at industry conferences, an ex-colleague told me that he is sick of seeing an outline of the human head with a processor in place of the brain. If you are a chip architect trying to build one of these data-centric architecture chips for machine learning or AI (as opposed to the compute-centric chips, which you pro... » read more

The Week In Review: Design
By Jesse Allen - 15 Jun, 2018 - Comments: 0

M&A MIPS has reportedly been acquired again, this time by AI startup Wave Computing. Wave focuses on data center-based neural network training using its parallel dataflow processing architecture. In March, the company signed on to use 64-bit multi-threaded processor cores from MIPS in future projects. Previously, MIPS was owned by Tallwood Venture Capital, which acquired MIPS from Imaginat... » read more

The Growing Materials Challenge
By Katherine Derbyshire - 11 Jun, 2018 - Comments: 0

By Katherine Derbyshire & Ed Sperling Materials have emerged as a growing challenge across the semiconductor supply chain, as chips continue to scale, or as they are utilized in new devices such as sensors for AI or machine learning systems. Engineered materials are no longer optional at advanced nodes. They are now a requirement, and the amount of new material content in chips contin... » read more

The Week in Review: IoT
By Jeff Dorsch - 08 Jun, 2018 - Comments: 0

Finance CyberInt raised $18 million in new funding led by Viola Growth and including existing investors. The company provides cybersecurity detection and response services. CyberInt has offices in Israel, the U.S., the United Kingdom, Singapore, and Panama. San Diego-based Kneron, which provides artificial intelligence technology for edge devices, received $18 million in Series A1 funding l... » read more

The Long Pause
By Ed Sperling - 07 Jun, 2018 - Comments: 0

Carmakers are leaping over each other to roll out cars that meet SAE Level 3 requirements, whereby under some conditions drivers can let go of the steering wheel. Getting to Level 5 will take a lot longer, and there is some debate about where and even whether Level 4 will ever happen (see Fig. 1). Fig. 1: Levels of autonomy. Source: Auto Alliance There are two big gaps that need to be a... » read more

Machine Learning’s Limits (Part 1)
By Ed Sperling - 07 Jun, 2018 - Comments: 0

Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president of business and corporate development at eSilicon; and Chris Rowen, CEO of Babblelabs. What follows are excerpts of that conversation. SE: Where are we with machine learning? What problems still have to be resolved? Aitken: We're in a state where thi... » read more

The Impact of AI On Autonomous Vehicles
By Synopsys - 06 Jun, 2018 - Comments: 0

Automotive systems designers initially used traditional embedded-vision algorithms in advanced driver assistance systems (ADAS). One of the key enablers of vehicle autonomy moving forward will be the application of artificial intelligence (AI) techniques, particularly those based upon deep-learning algorithms implemented on multi-layer convolutional neural networks (CNNs). These algorithms show... » read more

IBM Takes AI In Different Directions
By Ed Sperling - 06 Jun, 2018 - Comments: 3

Jeff Welser, vice president and lab director at IBM Research Almaden, sat down with Semiconductor Engineering to discuss what's changing in artificial intelligence and what challenges still remain. What follows are excerpts of that conversation. SE: What's changing in AI and why? Welser: The most interesting thing in AI right now is that we've moved from narrow AI, where we've proven you... » read more

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