Easier And Faster Ways To Train AI

By Bryon Moyer - 04 Nov, 2021 - Comments: 0

Training an AI model takes an extraordinary amount of effort and data. Leveraging existing training can save time and money, accelerating the release of new products that use the model. But there are a few ways this can be done, most notably through transfer and incremental learning, and each of them has its applications and tradeoffs. Transfer learning and incremental learning both take pre... » read more

Sensor Fusion Everywhere

By Ed Sperling - 19 Jul, 2021 - Comments: 0

How do you distinguish between background noise and the sound of an intruder breaking glass? David Jones, head of marketing and business development for intuitive sensing solutions at Infineon, looks at what types of sensors are being developed, what happens when different sensors are combined, what those sensors are being used for today, and what they will be used for in the future. » read more

A Study Of Wiggling AA Modeling And Its Impact On Device Performance In Advanced DRAM

By Coventor - 18 Nov, 2020 - Comments: 0

In this paper, a wiggling active area (fin) in an advanced 1x DRAM process was analyzed and modeled using the pattern-dependent etch simulation capabilities of the SEMulator3D semiconductor modeling software. Nonuniformity in sidewall passivation caused by hard mask pattern density loading was identified as the root cause of the wiggling profile. The calibrated model mimicked these phenomena, g... » read more

The Quest To Make 5G Systems Reliable

By Ed Sperling - 13 Oct, 2020 - Comments: 0

Semiconductor Engineering sat down to discuss 5G reliability with Anthony Lord, director of RF product marketing at FormFactor; Noam Brousard, system vice president at proteanTecs; Andre van de Geijn, business development manager at yieldHUB; and David Hall, head of semiconductor marketing at National Instruments. What follows are excerpts of that conversation. SE: How do we measure the reli... » read more

Understanding SLAM (Simultaneous Localization And Mapping)

By Ed Sperling - 19 Feb, 2020 - Comments: 0

Amol Borkar, senior product manager for AI and computer vision at Cadence, talks with Semiconductor Engineering about mapping and tracking the movement of an object in a scene, how to identify key corners in a frame, how probabilities of accuracy fit into the picture, how noise can affect that, and how to improve the performance and reduce power in these systems. » read more

Reliability In Automotive Chips

By Ed Sperling - 17 Feb, 2020 - Comments: 0

Roland Jancke, head of department for design methodology at Fraunhofer IIS’ Engineering of Adaptive Systems Division, looks at how to ensure that chips used in cars are reliable over extended periods of use, how mission profiles vary depending upon where they are used, and why it’s important to understand what chips developed at the latest nodes can really be used for and how they will be ... » read more

How To Ensure Reliability

By Ed Sperling - 13 Dec, 2019 - Comments: 0

Michael Schuldenfrei, corporate technology fellow at OptimalPlus, talks about how to measure quality, why it’s essential to understand all of the possible variables in the testing process, and why outliers are no longer considered sufficient to ensure reliability. » read more

Monitoring Heat On AI Chips

By Ed Sperling - 11 Oct, 2019 - Comments: 0

Stephen Crosher, CEO of Moortec, talks about monitoring temperature differences on-chip in AI chips and how to make the most of the power that can be delivered to a device and why accuracy is so critical. » read more

Knowledge Centers
Entities, people and technologies explored

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

Legacy Process Nodes Going Strong

The critical, and growing, significance of mature node chips and processes.

by Bryon Moyer

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?

by Brian Bailey

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.

by Bryon Moyer

tag: drift

Easier And Faster Ways To Train AI

Sensor Fusion Everywhere

A Study Of Wiggling AA Modeling And Its Impact On Device Performance In Advanced DRAM

The Quest To Make 5G Systems Reliable

Understanding SLAM (Simultaneous Localization And Mapping)

Reliability In Automotive Chips

How To Ensure Reliability

Monitoring Heat On AI Chips

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Entities, people and technologies explored