Why Better Mapping Technology Is Critical To Autonomous Vehicles

By John Koon - 01 Dec, 2022 - Comments: 0

Autonomous cars find the way to their destination using a number of critical technologies, including some version of a global position system and a central brain to interpret that and other data. But many of those technologies are not reliable or accurate enough today, and may not be for years to come. There are numerous reports of vehicles missing their stop, or trucks being guided into all... » read more

Week In Review: Auto, Security, Pervasive Computing

By Susan Rambo - 13 Mar, 2020 - Comments: 0

AI, machine learning Cadence says it has optimized its Tensilica HiFi digital signal processor IP to efficiently execute TensorFlow Lite for Microcontrollers, which are used in Google’s machine learning platform for edge. This means developers of AI/ML on the edge systems can now put better audio processing on edge devices with ML applications like keyword detection, audio scene detection, n... » read more

SLX Multi-Objective Optimization (MOPT)

By Silexica - 24 Apr, 2019 - Comments: 0

Technologies such as autonomous cars and 5G communication are seeing a rapid increase in the number of processing elements (PE) per platform. Where software professionals were used to programming one, two or a handful of cores, the game has now changed. Intel’s Many Integrated Core Architecture [3] contains up to 78 cores, Nvidia Tegra XI[2] has up to 260 cores and Adapteva’s Epiphany-V[1] ... » read more

LiDAR Goes Back To The Future

By Jeff Dorsch - 12 Mar, 2018 - Comments: 0

LiDAR is emerging as an increasingly important piece of the enabling technology in autonomous driving, along with advanced computer vision and radar sensor chips. But LiDAR systems also are finding their way into a variety of other applications, such as industrial automation, including robotics, and unmanned aerial vehicles. Advanced mapping is another rapidly growing market for LiDAR, which... » read more

Bridging Machine Learning’s Divide

By Brian Bailey - 08 Feb, 2018 - Comments: 0

There is a growing divide between those researching [getkc id="305" comment="machine learning"] (ML) in the cloud and those trying to perform inferencing using limited resources and power budgets. Researchers are using the most cost-effective hardware available to them, which happens to be GPUs filled with floating point arithmetic units. But this is an untenable solution for embedded infere... » read more

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

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

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

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: mapping

Why Better Mapping Technology Is Critical To Autonomous Vehicles

Week In Review: Auto, Security, Pervasive Computing

SLX Multi-Objective Optimization (MOPT)

LiDAR Goes Back To The Future

Bridging Machine Learning’s Divide