The Week In Review: Design


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


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

SoC + AI = SiPx


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


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


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


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


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


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

Walk A Mile In Their Shoes


To most of us, when we think about how artificial intelligence (AI) enhances our mobility, the most top-of-mind examples might be how our smart phones respond to voice commands when we ask for directions to the nearest coffee shop or the current weather at the location to which we’re heading. But for people missing limbs, AI has the potential to give them the mobility that they might never ha... » read more

The Week in Review: IoT


Finance San Francisco-based Aquabyte has raised $3.5 million in seed funding led by Costanoa Ventures and New Enterprise Associates. Princeton University and strategic investors in the U.S. and Norway also participated in the round. The startup is using computer vision and machine learning to optimize efficiency in fish farming. Aquabyte is first deploying its technology in Norway in cooperati... » read more

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