Thinking About AI Power In Parallel


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

Artificial Intelligence For Industrial Applications


By Dirk Mayer and Olaf Enge-Rosenblatt Due to digitalization, modern machines and systems provide massive quantities of data, which form a significant basis for the optimization of production processes, operations and safety. These data sets, however, grow more and more complex, which renders the simple analysis methods typically used in the past often ineffective. This is one factor driv... » read more

How AI In Edge Computing Drives 5G And The IoT


Edge computing, which is the concept of processing and analyzing data in servers closer to the applications they serve, is growing in popularity and opening new markets for established telecom providers, semiconductor startups, and new software ecosystems. It’s brilliant how technology has come together over the last several decades to enable this new space starting with Big Data and the idea... » read more

AI: A Perfect Solution But At What Cost?


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

Changes In AI SoCs


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

Extreme Quality Semiconductor Manufacturing


By Ben Tsai and Cathy Perry Sullivan Across the full range of semiconductor device types and design nodes, there is a drive to produce chips with significantly higher quality. Automotive, IoT and other industrial applications require chips that achieve very high reliability over a long period of time, and some of these chips must maintain reliable performance while operating in an environmen... » read more

3 Big Data Mega Trends For 2020


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

Security Is Key When AI Meets 5G


5G represents a revolution in mobile technology with performance that will rival that of wireline networks. Relative to its 4G predecessor, 5G promises 10X the data rate, 100X the efficiency, and 1000X the capacity, at 1/100th the latency. With 1Gbps speed at 1ms latency, 5G makes it possible to offer a host of real-time applications and services. Real-time is critical, because in parallel t... » read more

Machine Learning… Everywhere


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

Hardware Attack Surface Widening


An expanding attack surface in hardware, coupled with increasing complexity inside and outside of chips, is making it far more difficult to secure systems against a variety of new and existing types of attacks. Security experts have been warning about the growing threat for some time, but it is being made worse by the need to gather data from more places and to process it with AI/ML/DL. So e... » read more

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