tag: deep learning

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

Deep learning device identifies airborne allergens To identify and measure airborne biological particles, or bioaerosols, that originate from living organisms such as plants or fungi, UCLA researchers have invented a portable device that uses holograms and machine learning. The device is trained to recognize five common allergens — pollen from Bermuda grass, oak, ragweed and spores from t... » read more

The Multiple Faces And Phases Of AI
By Ed Sperling - 01 Nov, 2018 - Comments: 0

AI is being used in more ways and more devices—and in more ways in those same devices—raising the level of confusion about exactly what people are talking about when they refer to AI and AI-enabled systems. AI is both a tool and a process. It also is a thing, although not even remotely close to the singularity portrayed by Arthur C. Clarke in 2001. And as it proliferates, it's becoming h... » read more

AI Begins To Reshape Chip Design
By Ed Sperling - 01 Nov, 2018 - Comments: 1

Artificial intelligence is beginning to impact semiconductor design as architects begin leveraging its capabilities to improve performance and reduce power, setting the stage for a number of foundational shifts in how chips are developed, manufactured and updated in the future. AI—and machine learning and deep learning subsets—can be used to greatly improve the functional control and pow... » read more

Always-on Face Unlock
By Arm - 31 Oct, 2018 - Comments: 0

Accurate face verification has long been considered a challenge due to the number of variables, ranging from lighting to pose and facial expression. This white paper looks at a new approach—combining classic and modern machine learning (deep learning) techniques—that achieves 98.36% accuracy, running efficiently on Arm ML-optimized platforms, and addressing key security issues such as mu... » read more

Machine Learning Invades IC Production
By Mark LaPedus - 18 Oct, 2018 - Comments: 0

Semiconductor Engineering sat down to discuss artificial intelligence (AI), machine learning, and chip and photomask manufacturing technologies with Aki Fujimura, chief executive of D2S; Jerry Chen, business and ecosystem development manager at Nvidia; Noriaki Nakayamada, senior technologist at NuFlare; and Mikael Wahlsten, director and product area manager at Mycronic. What follows are excerpt... » read more

Processors Are Exciting Again
By Lazaar Louis - 11 Oct, 2018 - Comments: 0

Today is a very exciting time in the world of processor architectures. Domain-specific processor architectures are now fully realized as the best answers to the challenges of low power and high performance for many applications. Advancements in artificial intelligence are leading the way to exciting new experiences and products today and in our future. There have been more advances in deep lear... » read more

Using ASICs For AI Inferencing
By Ed Sperling - 10 Oct, 2018 - Comments: 0

Flex Logix’s Cheng Wang looks at why ASICs are the best way to improve performance and optimize power and area for inferencing, and how to add flexibility into those designs to deal with constantly changing algorithms and data sets. https://youtu.be/XMHr7sz9JWQ » read more

Machine Learning Shifts More Work to FPGAs, SoCs
By Kevin Fogarty - 24 Sep, 2018 - Comments: 0

A wave of machine-learning-optimized chips is expected to begin shipping in the next few months, but it will take time before data centers decide whether these new accelerators are worth adopting and whether they actually live up to claims of big gains in performance. There are numerous reports that silicon custom-designed for machine learning will deliver 100X the performance of current opt... » read more

Enabling Device Intelligence
By Synopsys - 18 Sep, 2018 - Comments: 0

The explosive growth in silicon and software for artificial intelligence applications is transforming everything we know about connectivity, energy-efficiency, mobility, and security. Machine learning (ML) techniques are already used in computer vision, object recognition, speech recognition, and big data analytics. Deep learning (DL) algorithms and neural networks are pushing both silicon and ... » read more

The Security Penalty
By Ed Sperling - 13 Sep, 2018 - Comments: 0

It's not clear if Meltdown, Spectre and Foreshadow caused actual security breaches, but they did prompt big processor vendors like Intel, Arm, AMD and IBM to fix these vulnerabilities before they were made public by Google's Project Zero. While all of this may make data center managers and consumers feel better in one respect, it has created a level of panic of a different sort. For decades,... » read more

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