tag: machine learning

Machine Learning For ADAS Camera Manufacturing
By Peter Hodgins - 16 Sep, 2019 - Comments: 0

Virtually every vehicle manufacturer in the world is either developing, purchasing, or investing in ADAS systems in order to bring autonomous vehicles into the market. With this demand on the rise, the need for high quality automotive camera modules is rising. ADAS systems are built using computer vision technology and act as the “eyes” of autonomous vehicles. Numerous cameras are embedd... » read more

The New CXL Standard
By Ed Sperling - 16 Sep, 2019 - Comments: 0

Gary Ruggles, senior staff product marketing manager at Synopsys, digs into the new Compute Express Link standard, why it’s important for high bandwidth in AI/ML applications, where it came from, and how to apply it in current and future designs. » read more

Week in Review – IoT, Security, Autos
By Jeff Dorsch - 13 Sep, 2019 - Comments: 0

Products/Services Arm and Swift Navigation will collaborate on providing technology to developers of autonomous vehicles and connected cars. San Francisco-based Swift Navigation, which offers Global Navigation Satellite System positioning technology for AVs, is teaming with the chip design company to offer Swift’s solutions as an option on Arm-based platforms, the companies say. Swift’s St... » read more

Machine Learning Inferencing At The Edge
By Ed Sperling - 12 Sep, 2019 - Comments: 1

Ian Bratt, fellow in Arm's machine learning group, talks about why machine learning inferencing at the edge is so difficult, what are the tradeoffs, how to optimize data movement, how to accelerate that movement, and how it differs from developing other types of processors. » read more

Reducing Software Power
By Brian Bailey - 12 Sep, 2019 - Comments: 0

With the slowdown of Moore's Law, every decision made in the past must be re-examined to get more performance or lower power for a given function. So far, software has remained relatively unaffected, but it could be an untapped area for optimization and enable significant power reduction. The general consensus is that new applications such as artificial intelligence and machine learning, whe... » read more

What’s Powering Artificial Intelligence?
By Arm - 11 Sep, 2019 - Comments: 0

While artificial intelligence (AI) and machine learning (ML) applications soar in popularity, many organizations are questioning where ML workloads should be performed. Should they be done on a central processor (CPU), a graphics processor (GPU), or a neural processor (NPU)? The choice most teams are making today will surprise you. To scale artificial intelligence (AI) and machine learning (... » read more

How Hardware Can Bias AI Data
By Ed Sperling - 10 Sep, 2019 - Comments: 1

Clean data is essential to good results in AI and machine learning, but data can become biased and less accurate at multiple stages in its lifetime—from moment it is generated all the way through to when it is processed—and it can happen in ways that are not always obvious and often difficult to discern. Blatant data corruption produces erroneous results that are relatively easy to ident... » read more

Machine Learning For Autonomous Drive
By Anoop Saha - 05 Sep, 2019 - Comments: 0

Advances in Artificial Intelligence (AI) and Machine Learning (ML) is arguably the biggest technical innovation of the last decade. Although the algorithms for AI have been in existence for many years, the recent explosion of both data as well as faster compute made it possible to apply those algorithms to solve many real life use cases. One of the most prominent of these use cases is fully aut... » read more

New Technologies To Support 3D-ICs
By Brian Bailey - 04 Sep, 2019 - Comments: 0

Semiconductor Engineering sat down to discuss changes required throughout the ecosystem to support three-dimensional (3D) chip design with Norman Chang, chief technologist for the Semiconductor Business Unit of ANSYS; John Park, product management director for IC packaging and cross-platform solutions at Cadence; John Ferguson, director of marketing for DRC applications at Mentor, a Siemens Bus... » read more

Taking Energy Into Account
By Ann Mutschler - 28 Aug, 2019 - Comments: 1

Considering power throughout the SoC design flow is common practice. The same cannot be said for energy, although that is beginning to change as chips increasingly incorporate heterogeneous processing elements. Combined with this, AI/ML/DL technologies increasingly allow engineering teams to explore and optimize design data for more targeted and efficient systems. But this approach also requ... » read more

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