tag: machine learning

AI And Machine Learning Drive New SoC Verification Choices
By Frank Schirrmeister - 22 Feb, 2018 - Comments: 0

I have previously written about the choices that design teams have when choosing specific verification engines—virtual, formal, simulation, emulation, FPGA and actual silicon. As a new class of SoC is emerging for machine learning and artificial intelligence with complexities previously unheard of, they further deepen the challenge of choosing the right tool for the job. Even the choice betwe... » read more

The Week In Review: Design
By Jesse Allen - 16 Feb, 2018 - Comments: 0

Tools & IP Arm unveiled a new suite of IP focused on machine learning for edge devices. Currently dubbed Project Trillium, it includes the Arm ML processor, the second-generation Arm Object Detection (OD) processor, and open-source Arm NN software. The ML processor provides more than 4.6 TOPs in mobile environments with efficiency of 3 TOPs/W. People detection is a focus of the OD processo... » read more

Race Of Nations
By Ed Sperling - 15 Feb, 2018 - Comments: 0

Technology is the next arms race, and this is not just about national defense in the traditional sense. Countries collectively are pouring hundreds of billions of dollars into developing technology for the future, from education to outright grants and seed funding, and they are working with private industry to continue investing in their respective national futures. Which technologies and na... » read more

What’s Next In Neuromorphic Computing
By Katherine Derbyshire - 15 Feb, 2018 - Comments: 2

To integrate devices into functioning systems, it's necessary to consider what those systems are actually supposed to do. Regardless of the application, [getkc id="305" kc_name="machine learning"] tasks involve a training phase and an inference phase. In the training phase, the system is presented with a large dataset and learns how to "correctly" analyze it. In supervised learning, the data... » read more

SoC + AI = SiPx
By Rich Wawrzyniak - 15 Feb, 2018 - Comments: 0

The market for third-party semiconductor intellectual property (SIP) continues to exhibit growth well beyond the (CAGR) Compound Annual Growth Rate for the semiconductor industry. Semico just completed an in-depth analysis and breakdown of the SIP market in a report called Licensing, Royalty and Service Revenues For 3rd Party SIP (SC105-18). The 2017 to 2022 CAGR is projected to be 10.9%, about... » read more

Transistor Options Beyond 3nm
By Mark LaPedus - 15 Feb, 2018 - Comments: 18

Despite a slowdown in chip scaling amid soaring costs, the industry continues to search for a new transistor type 5 to 10 years out—particularly for the 2nm and 1nm nodes. Specifically, the industry is pinpointing and narrowing down the transistor options for the next major nodes after 3nm. Those two nodes, called 2.5nm and 1.5nm, are slated to appear in 2027 and 2030, respectively, accord... » read more

The Race To Accelerate
By Ed Sperling - 12 Feb, 2018 - Comments: 1

Geoff Tate, CEO of [getentity id="22921" e_name="Flex Logix"], sat down with Semiconductor Engineering to discuss how the chip industry is changing, why that bodes well for embedded FPGAs, and what you need to be aware of when using programmable logic on the same die as other devices. What follows are excerpts of that conversation. SE: What are the biggest challenges facing the chip industry... » read more

The Week in Review: IoT
By Jeff Dorsch - 09 Feb, 2018 - Comments: 0

Finance BroadLink has raised $54.4 million in Series D funding from Citic Private Equity Funds Management. Baidu and Libai Group participated in the new round. BroadLink will use the money to expand its artificial intelligence and Internet of Things units, while also acquiring or investing in companies involved in smart home devices. Aperio Systems of Haifa, Israel, has received $4.5 millio... » read more

Customizing Power And Performance
By Ed Sperling - 08 Feb, 2018 - Comments: 0

Designing chips is getting more difficult, and not just for the obvious technical reasons. The bigger issue revolves around what these chips going to be used for-and how will they be used, both by the end user and in the context of other electronics. This was a pretty simple decision when hardware was developed somewhat independently of software, such as in the PC era. Technology generally d... » read more

Bridging Machine Learning’s Divide
By Brian Bailey - 08 Feb, 2018 - Comments: 0

There is a growing divide between those researching [getkc id="305" comment="machine learning"] (ML) in the cloud and those trying to perform inferencing using limited resources and power budgets. Researchers are using the most cost-effective hardware available to them, which happens to be GPUs filled with floating point arithmetic units. But this is an untenable solution for embedded infere... » read more

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