Inference Moves To The Network

By Bryon Moyer - 07 May, 2020 - Comments: 0

Machine-learning inference started out as a data-center activity, but tremendous effort is being put into inference at the edge. At this point, the “edge” is not a well-defined concept, and future inference capabilities will reside not only at the extremes of the data center and a data-gathering device, but at multiple points in between. “Inference isn't a function that has to resid... » read more

Big Growth Areas: Connectivity, AI, Reliability

By Brian Bailey - 14 Jan, 2020 - Comments: 0

Connectivity and artificial intelligence (AI) will be the biggest drivers for 2020, with an emphasis on improved reliability across all areas. New standards, new applications, and new pressures being placed on old technology will created boundless opportunities for those ready to fill the need. Of course, there will also be a lot of carnage along the way, and we can expect to see a lot of that ... » 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

Combining SLAM And CNN For High-Performance Augmented Reality

By Gordon Cooper - 04 Apr, 2019 - Comments: 0

Robotics and headsets or goggles are the most common hardware devices requiring AR/VR/mixed reality, and AR is coming to mobile phones, tablets, and automobiles as well. For hardware devices to see the world around them and add to that reality with inserted graphics or images, they need to determine their position in space and map the surrounding environment. Simultaneous localization and ma... » read more

Gearing Up For 5G

By Brian Bailey - 14 Feb, 2019 - Comments: 0

5G has been touted as the new enabler for many market segments, including mobile phones, automotive, virtual reality, and IoT. But there are many questions and much speculation about when and how this new wireless standard will impact different market segments and what effect it will have on semiconductor design. With a promise of orders of magnitude improvement in communication speed an... » read more

Mostly Upbeat Outlook For Chips

By Brian Bailey - 17 Jan, 2019 - Comments: 1

2019 has started with cautious optimism for the semiconductor industry, despite dark clouds that dot the horizon. Market segments such as cryptocurrencies and virtual reality are not living up to expectations, the market for smart phones appears to be saturated, and DRAM prices are dropping, leading to cut-backs in capital expenditures. EDA companies are talking about sales to China being pu... » read more

Week in Review: IoT, Security, Auto

By Jeff Dorsch - 21 Nov, 2018 - Comments: 0

Internet of Things Forrester Research released its 2019 Internet of Things predictions. Some key points: Bundled service offerings will catalyze a sleepy consumer IoT market; cybercriminals will lay siege to a smart-city implementation; and a market for IoT managed services will emerge in 2019. Black Friday and Cyber Monday are coming up. Those days present some opportunities to purchase ... » read more

Blog Review: Aug. 15

By Jesse Allen - 15 Aug, 2018 - Comments: 0

Cadence's Paul McLellan checks out what's driving the growth of China's semiconductor industry plus the state of fab construction, from a CAPSA presentation by SEMI's Lung Chu. Mentor's Joe Hupcey III has some tips for how to handle inconclusive results in formal verification, starting with how to identify where the analysis got stuck. Synopsys' Taylor Armerding listens in on a presentati... » read more

Mobile Machine Learning Hardware At Arm

By Arm - 09 May, 2018 - Comments: 0

Machine learning is playing an increasingly significant role in emerging mobile application domains such as AR/VR, ADAS, etc. Accordingly, hardware architects have designed customized hardware for machine learning algorithms, especially neural networks, to improve compute efficiency. However, machine learning is typically just one processing stage in complex end-to-end applications, which invol... » read more

Toward A 5G, AI-Centric World

By Sundeep Bajikar - 19 Apr, 2018 - Comments: 0

The market environment over the coming years will continue to experience an explosion of data generation from a variety of new sources such as smart cars, smart factories, smart hospitals and smart network infrastructure. Data explosion combined with artificial intelligence (AI) will create a renaissance of computing and storage hardware. Mobile World Congress 2018 (MWC) reinforced this market ... » read more

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Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

Key Technologies To Extend EUV To 14 Angstroms

Alongside high-NA EUV will be better-performing photoresists, reduced roughness using passivation and etch, and lateral etching to reduce tip-to-tip dimensions.

by Laura Peters

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

What Comes After HBM For Chiplets

The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?