tag: machine learning

HBM2E and GDDR6: Memory Solutions for AI
By Rambus - 04 Mar, 2020 - Comments: 0

Artificial Intelligence/Machine Learning (AI/ML) growth proceeds at a lightning pace. In the past eight years, AI training capabilities have jumped by a factor of 300,000 driving rapid improvements in every aspect of computing hardware and software. Meanwhile, AI inference is being deployed across the network edge and in a broad spectrum of IoT devices including in automotive/ADAS. Training and... » read more

The Challenges Of Building Inferencing Chips
By Ann Mutschler - 27 Feb, 2020 - Comments: 0

Putting a trained algorithm to work in the field is creating a frenzy of activity across the chip world, spurring designs that range from purpose-built specialty processors and accelerators to more generalized extensions of existing and silicon-proven technologies. What's clear so far is that no single chip architecture has been deemed the go-to solution for inferencing. Machine learning is ... » read more

Wrestling With Variation In Advanced Node Designs
By Ann Mutschler - 19 Feb, 2020 - Comments: 5

Variation is becoming a major headache at advanced nodes, and issues that used to be dealt with in the fab now must be dealt with on the design side, as well. What is fundamentally changing is that margin, which has long been used as a buffer for variation and other manufacturing process-related problems, no longer works in these leading-edge designs for a couple of reasons. First, margin im... » read more

Thinking About AI Power In Parallel
By Ed Sperling - 13 Feb, 2020 - Comments: 0

Most AI chips being developed today run highly parallel series of multiply/accumulate (MAC) operations. More processors and accelerators equate to better performance. This is why it's not uncommon to see chipmakers stitching together multiple die that are larger than a single reticle. It's also one of the reasons so much attention is being paid to moving to the next process node. It's not ne... » read more

AI: A Perfect Solution But At What Cost?
By Chris Bergey - 13 Feb, 2020 - Comments: 0

The advancement of artificial intelligence (AI) has been a great enabler for the Internet of things (IoT). Given the ability to think for itself, it’s shrugged off its original definition as a network of tiny sensors and grown to incorporate a host of more intelligent AIoT (AI+IoT) devices, from smartphones all the way up to autonomous vehicles. AI has also paved the way for new IoT device... » read more

The MCU Dilemma
By Brian Bailey - 13 Feb, 2020 - Comments: 2

The humble microcontroller is getting squeezed on all sides. While most of the semiconductor industry has been able to take advantage of Moore's Law, the MCU market has faltered because flash memory does not scale beyond 40nm. At the same time, new capabilities such as voice activation and richer sensor networks are requiring inference engines to be integrated for some markets. In others, re... » read more

Changes In AI SoCs
By Ed Sperling - 12 Feb, 2020 - Comments: 0

Kurt Shuler, vice president of marketing at ArterisIP, talks about the tradeoffs in AI SoCs, which range from power and performance to flexibility, depending on whether processing elements are highly specific or more general, and the need for more modeling of both hardware and software together. » read more

Using Machine Learning To Gain Data Insights
By Alex Burlak - 11 Feb, 2020 - Comments: 0

Today’s consumers have little appetite for networks that go down, for electronic devices that fail, and for any kind of digital service that doesn’t deliver as promised every time. Reliability is no longer a nice-to-have. It's  a key feature. The continued scaling of advanced electronics and chip manufacturing technologies, however, makes reliability harder to achieve — even as expectati... » read more

3 Big Data Mega Trends For 2020
By Optimal Plus - 10 Feb, 2020 - Comments: 0

What are the greatest trends and challenges that will define the automotive and semiconductor industries in 2020? Our e-book delves deep into three of these megatrends: Artificial intelligence and machine learning at scale Holistic quality solutions Connected supply chains With automotive and semiconductor manufacturers under mounting pressure to manufacture products of the hig... » read more

Machine Learning… Everywhere
By Stelios Diamantidis - 06 Feb, 2020 - Comments: 0

AI is transforming the world around us, creating an avenue to innovation across all sectors of the global economy. Today, AI can interact with humans through natural language; identify bank fraud and protect computer networks; drive cars around city streets; and play complex games like chess and Go. Machine-learning is offering solutions to many complex problems around us where analytical solut... » read more

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