tag: deep learning

Using Data Mining Differently
By Ann Mutschler - 22 Feb, 2018 - Comments: 0

The semiconductor industry generates a tremendous quantity of data, but until very recently engineers had to sort through it on their own to spot patterns, trends and aberrations. That's beginning to change as chipmakers develop their own solutions or partner with others to effectively mine this data. Adding some structure and automation around all of this data is long overdue. Data mining h... » 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

System Bits: Feb. 13
By Ann Mutschler - 13 Feb, 2018 - Comments: 0

Enabling individual manufacturing apps Researchers at the Fraunhofer Institute for Computer Graphics Research IGD focused on Industrie 4.0 recognize that manufacturing is turning toward batch sizes of one and individualized production in what is sometimes referred to as ‘highly customized mass production.’ [caption id="attachment_24131609" align="aligncenter" width="300"] The scanning ... » 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

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

GDDR6 PHYs: From The Data Center To Self-Driving Cars
By Frank Ferro - 08 Feb, 2018 - Comments: 0

The demand for ever-increasing bandwidth has resulted in a growing interest in GDDR across a number of market verticals, including data centers and the automotive sector. As an example of the former, deep learning applications require ever-increasing speed and bandwidth memory solutions in the data center. In deep learning and other emerging technologies, GDDR memory can help companies addre... » read more

Deep Learning Spreads
By Ed Sperling - 31 Jan, 2018 - Comments: 0

Deep learning is gaining traction across a broad swath of applications, providing more nuanced and complex behavior than machine learning offers today. Those attributes are particularly important for safety-critical devices, such as assisted or autonomous vehicles, as well as for natural language processing where a machine can recognize the intent of words based upon the context of a convers... » read more

Babblelabs: Deep Learning Speech Processing
By Ann Mutschler - 26 Jan, 2018 - Comments: 0

Pronounced “babble labs,” a startup that is the brainchild of serial entrepreneur [getperson id="11244" comment="Chris Rowen"] is setting out to transform speech processing and will leverage deep learning to do so. Rowen, CEO of Babblelabs, has spoken for some time about move of processing to more general purpose hardware, with applications layered on top, so it’s not so surprising his... » read more

System Bits: Jan. 2
By Ann Mutschler - 02 Jan, 2018 - Comments: 0

Robots imagine their future to learn By playing with objects and then imagining how to get the task done, UC Berkeley researchers have developed a robotic learning technology that enables robots to figure out how to manipulate objects they have never encountered before. The team expects this technology could help self-driving cars anticipate future events on the road and produce more intel... » read more

System Bits: Dec. 5
By Ann Mutschler - 05 Dec, 2017 - Comments: 0

[caption id="attachment_429586" align="aligncenter" width="300"] Vivienne Sze, an associate professor of electrical engineering and computer science at MIT. Source: MIT[/caption] Building deep learning hardware A new course at MIT is bringing together both electrical engineering and computer science to educate student in the highly sought after field of deep learning. Vivienne Sze, an assoc... » read more

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