category: Special Reports

category: IoT, Security & Automotive

5G Chips Add Test Challenges
By Bryon Moyer - 06 Jul, 2021 - Comments: 1

The advent of chips supporting millimeter-wave (mmWave) 5G signals is creating a new set of design and testing challenges. Effects that could be ignored at lower frequencies are now important. Performing high-volume test of RF chips will require much more from automated test equipment (ATE) than is required for chips operating below 6 GHz. “MmWave design is a pretty old thing,” said Y... » read more

Data Centers On Wheels
By Ann Mutschler - 28 Jun, 2021 - Comments: 2

Automotive architectures are evolving quickly from domain-based to zonal, leveraging the same kind of high-performance computing now found in data centers to make split-second decisions on the road. This is the third major shift in automotive architectures in the past five years, and it's one that centralizes processing using 7nm and 5nm technology, specialized accelerators, high-speed memor... » read more

Bumps Vs. Hybrid Bonding For Advanced Packaging
By Mark LaPedus - 23 Jun, 2021 - Comments: 3

Advanced packaging continues to gain steam, but now customers must decide whether to design their next high-end packages using existing interconnect schemes or move to a next-generation, higher-density technology called copper hybrid bonding. The decision is far from simple, and in some cases both technologies may be used. Each technology adds new capabilities in next-generation advanced pac... » read more

Shifting Toward Data-Driven Chip Architectures
By Ed Sperling and Ann Mutschler - 16 Jun, 2021 - Comments: 0

An explosion in data is forcing chipmakers to rethink where to process data, which are the best types of processors and memories for different types of data, and how to structure, partition and prioritize the movement of raw and processed data. New chips from systems companies such as Google, Facebook, Alibaba, and IBM all incorporate this approach. So do those developed by vendors like Appl... » read more

There’s More To Machine Learning Than CNNs
By Bryon Moyer - 09 Jun, 2021 - Comments: 1

Neural networks – and convolutional neural networks (CNNs) in particular – have received an abundance of attention over the last few years, but they're not the only useful machine-learning structures. There are numerous other ways for machines to learn how to solve problems, and there is room for alternative machine-learning structures. “Neural networks can do all this really comple... » read more

Big Changes Ahead For Connected Vehicles
By Ann Mutschler - 03 Jun, 2021 - Comments: 0

Carmakers are reworking their electronic architectures so they can tap into a growing number of external services and internal options, similar to the way a data center taps into various services over its internal network. In the past, this has been largely confined to internal services such as on-board Internet connectivity, and external traffic routing and music. The current vision is to g... » read more

The Increasingly Uneven Race To 3nm/2nm
By Mark LaPedus and Ed Sperling - 24 May, 2021 - Comments: 2

Several chipmakers and fabless design houses are racing against each other to develop processes and chips at the next logic nodes in 3nm and 2nm, but putting these technologies into mass production is proving both expensive and difficult. It's also beginning to raise questions about just how quickly those new nodes will be needed and why. Migrating to the next nodes does boost performance an... » read more

11 Ways To Reduce AI Energy Consumption
By Bryon Moyer - 13 May, 2021 - Comments: 1

As the machine-learning industry evolves, the focus has expanded from merely solving the problem to solving the problem better. “Better” often has meant accuracy or speed, but as data-center energy budgets explode and machine learning moves to the edge, energy consumption has taken its place alongside accuracy and speed as a critical issue. There are a number of approaches to neural netw... » read more

Putting Limits On What AI Systems Can Do
By Ed Sperling - 22 Apr, 2021 - Comments: 0

New techniques and approaches are starting to be applied to AI and machine learning to ensure they function within acceptable parameters, only doing what they're supposed to do. Getting AI/ML/DL systems to work has been one of the biggest leaps in technology in recent years, but understanding how to control and optimize them as they adapt isn't nearly as far along. These systems are generall... » read more

Foundry Wars Begin
By Mark LaPedus - 19 Apr, 2021 - Comments: 3

Leading-edge foundry vendors are gearing up for a new, high-stakes spending and technology race, setting the stage for a possible shakeup across the semiconductor manufacturing landscape. In March, Intel re-entered the foundry business, positioning itself against Samsung and TSMC at the leading edge, and against a multitude of foundries working at older nodes. Intel announced plans to build ... » read more

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