tag: machine learning

Testing Autonomous Vehicles
By Ed Sperling - 16 Dec, 2019 - Comments: 0

Jeff Phillips, head of automotive marketing at National Instruments, talks about how to ensure that automotive systems are reliable and safe, how test needs to shift to adapt to continual updates and changes, and why this is particularly challenging in a world where there is no known right answer. » read more

How To Ensure Reliability
By Ed Sperling - 13 Dec, 2019 - Comments: 0

Michael Schuldenfrei, corporate technology fellow at OptimalPlus, talks about how to measure quality, why it’s essential to understand all of the possible variables in the testing process, and why outliers are no longer considered sufficient to ensure reliability. » read more

Into The Cold And Darkness
By Ed Sperling - 12 Dec, 2019 - Comments: 1

The need for speed is limitless. There is far more data to process, and there is competition on a global scale to process it fastest and most efficiently. But how to achieve future revs of improvements will begin to look very different from the past. For one thing, the new criteria for that speed are frequently tied to a fixed or shrinking power budget. This is why many benchmarks these days... » read more

Optimizing Power And Performance For Machine Learning At The Edge
By Mike Fingeroff - 12 Dec, 2019 - Comments: 0

While machine learning (ML) algorithms are popular for running on enterprise Cloud systems for training neural networks, AI/ML chipsets for edge devices are growing at a triple digit rate, according to Tractica “Deep Learning Chipsets” (Figure 1). Edge devices include automobiles, drones, and mobile devices that are all employing AI/ML to provide valuable functionality. Figure 1: Marke... » read more

Defining And Improving AI Performance
By Brian Bailey - 12 Dec, 2019 - Comments: 2

Many companies are developing AI chips, both for training and for inference. Although getting the required functionality is important, many solutions will be judged by their performance characteristics. Performance can be measured in different ways, such as number of inferences per second or per watt. These figures are dependent on a lot of factors, not just the hardware architecture. The optim... » read more

Machine Learning At The Edge
By Mentor, a Siemens Business - 12 Dec, 2019 - Comments: 0

Moving machine learning to the edge has critical requirements on power and performance. Using off-the-shelf solutions is not practical. CPUs are too slow, GPUs/TPUs are expensive and consume too much power, and even generic machine learning accelerators can be overbuilt and are not optimal for power. In this paper, learn about creating new power/memory efficient hardware architectures to meet n... » read more

MLPerf Benchmarks
By Ed Sperling - 11 Dec, 2019 - Comments: 2

Geoff Tate, CEO of Flex Logix, talks about the new MLPerf benchmark, what’s missing from the benchmark, and which ones are relevant to edge inferencing. » read more

Gaps Emerge In Test And Analytics
By Ed Sperling - 10 Dec, 2019 - Comments: 0

Sensor and process drift, increased design complexity, and continued optimization of circuitry throughout its lifetime are driving test and analytics in new directions, requiring a series of base comparisons against which equipment and processes can be measured. In the design world this type of platform is called a digital twin, but in the test world there is no equivalent today. And as more... » read more

Using FPGAs For AI
By Brian Bailey - 02 Dec, 2019 - Comments: 3

Artificial intelligence (AI) and machine learning (ML) are progressing at a rate that is outstripping Moore's Law. In fact, they now are evolving faster than silicon can be designed. The industry is looking at all possibilities to provide devices that have the necessary accuracy and performance, as well as a power budget that can be sustained. FPGAs are promising, but they also have some sig... » read more

Making And Protecting Advanced Masks
By Mark LaPedus - 27 Nov, 2019 - Comments: 0

Semiconductor Engineering sat down to discuss lithography and photomask trends with Bryan Kasprowicz, director of technology and strategy and a distinguished member of the technical staff at Photronics; Thomas Scheruebl, director of strategic business development and product strategy at Zeiss; Noriaki Nakayamada, senior technologist at NuFlare; and Aki Fujimura, chief executive of D2S. What fol... » read more

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