Making Sensors More Reliable

By Karen Heyman - 05 Oct, 2023 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to talk about the latest issues in sensors with Prakash Madhvapathy, director of product marketing, Tensilica audio/voice DSPs group at Cadence; Kevin Hughes, senior product manager for MEMS sensors at Infineon; and Matthew Hogan, product management director at Siemens EDA. What follows are excerpts of that conversation. [L-R] Kevin ... » read more

Data Collection For Edge AI / Tiny ML With Sensors

By Renesas - 04 Oct, 2023 - Comments: 0

Reality AI software from Renesas provides solution suites and tools for R&D engineers who build products and internal solutions using sensors. Working with accelerometers, vibration, sound, electrical (current/voltage/ capacitance), radar, RF, proprietary sensors, and other types of sensor data, Reality AI software identifies signatures of events and conditions, correlates changes in signat... » read more

Learning How To Forget

By Brian Bailey - 25 Aug, 2022 - Comments: 0

There has been a lot of talk recently about the right to be forgotten, or data privacy rights. These require companies that hold data about us to remove it when properly requested. This might be data that was collected as we browse the Internet, or from online shopping. Or perhaps it's collected as we drive our cars past cameras, or GPS tracking of our cellphones, or many other ways – some of... » read more

AiMotive Is EDA For Self-Driving Cars

By Susan Rambo - 17 Jun, 2019 - Comments: 0

The team at aiMotive, a tool and IP company for OEMs making automated vehicles, isn’t waiting for smart infrastructure or 5G to make self-driving cars possible. The four-year-old startup based in Budapest, Hungary, is taking a self-sustainable route for the foreseeable future. The key to staying in business is not to compete with Waymo, Cruise or automotive companies, but to build the softwar... » read more

Knowledge Centers
Entities, people and technologies explored

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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: data collection

Making Sensors More Reliable

Data Collection For Edge AI / Tiny ML With Sensors

Learning How To Forget

AiMotive Is EDA For Self-Driving Cars

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