tag: Rambus

How Many Sensors For Autonomous Driving?
By John Koon - 01 Jun, 2023 - Comments: 0

With the cost of sensors ranging from $15 to $1,000, carmakers are beginning to question how many sensors are needed for vehicles to be fully autonomous at least part of the time. Those sensors are used to collect data about the surrounding environment, and they include image, lidar, radar, ultrasonic, and thermal sensors. One type of sensor is not sufficient, because each has its limitation... » read more

HBM3 And GDDR6: Memory Solutions For AI
By Rambus - 31 May, 2023 - Comments: 0

AI/ML changes everything, impacting every industry and touching the lives of everyone. With AI training sets growing at a pace of 10X per year, memory bandwidth is a critical area of focus as we move into the next era of computing and enable this continued growth. AI training and inference have unique feature requirements that can be served by tailored memory solutions. Learn how HBM3 and GDDR6... » read more

Week In Review: Design, Low Power
By SE Staff - 19 May, 2023 - Comments: 0

Design Ansys has signed a definitive agreement to acquire EDA tool company Diakopto. Diakopto specializes in software tools that find the cause of layout parasitics. Its products are ParagonX, for analyzing and debugging IC designs and layout parasitics, and EM/IR analysis/verification tool PrimeX. The deal is expected to close in the second quarter of 2023. SEMI’s FlexTech community issu... » read more

GDDR6 Delivers The Performance For AI/ML Inference
By Frank Ferro - 15 May, 2023 - Comments: 0

AI/ML is evolving at a lightning pace. Not a week goes by right now without some new and exciting developments in the field, and applications like ChatGPT have brought generative AI capabilities firmly to the forefront of public attention. AI/ML is really two applications: training and inference. Each relies on memory performance, and each has a unique set of requirements that drive the choi... » read more

Making Tradeoffs With AI/ML/DL
By Ann Mutschler - 11 May, 2023 - Comments: 0

Machine learning, deep learning, and AI increasingly are being used in chip design, and they are being used to design chips that are optimized for ML/DL/AI. The challenge is understanding the tradeoffs on both sides, both of which are becoming increasingly complex and intertwined. On the design side, machine learning has been viewed as just another tool in the design team's toolbox. That's s... » read more

Designing Crash-Proof Autonomous Vehicles
By John Koon - 10 May, 2023 - Comments: 0

Autonomous vehicles keep crashing into things, even though ADAS technology promises to make driving safer because machines can think and react faster than human drivers. Humans rely on seeing and hearing to assess driving conditions. When drivers detect objects in front of the vehicle, the automatic reaction is to slam on the brakes or swerve to avoid them. Quite often drivers cannot react q... » read more

ML Automotive Chip Design Takes Off
By Ann Mutschler - 04 May, 2023 - Comments: 0

Machine learning is increasingly being deployed across a wide swath of chips and electronics in automobiles, both for improving reliability of standard parts and for the creation of extremely complex AI chips used in increasingly autonomous applications. On the design side, the majority of EDA tools today rely on reinforcement learning, a machine learning subset of AI that teaches a machine ... » read more

Data Leakage Becoming Bigger Issue For Chipmakers
By Ed Sperling - 04 May, 2023 - Comments: 0

Data leakage is becoming more difficult to stop or even trace as chips become increasingly complex and heterogeneous, and as more data is stored and utilized by chipmakers for other designs. Unlike a cyberattack, which typically is done for a specific purpose, such as collecting private data or holding a system ransom, data leaks can spring up anywhere. And as the value of data increases, th... » read more

Automotive Security: Meeting The Growing Challenges With Certified Hardware Security Module IP
By Bart Stevens - 04 May, 2023 - Comments: 0

Automotive systems, and the semiconductors used within them, are some of the most complex electronics seen today. The radical transformation from an isolated mechanical car to a connected software-driven car is driving the increased use of semiconductors in vehicles: these include advanced driver assistance systems (ADAS), electrification, and enhanced driver/passenger experience. More conne... » read more

From Data Center To End Device: AI/ML Inference With GDDR6
By Rambus - 03 May, 2023 - Comments: 0

Created to support 3D gaming on consoles and PCs, GDDR packs performance that makes it an ideal solution for AI/ML inference. As inference migrates from the heart of the data center to the network edge, and ultimately to a broad range of AI-powered IoT devices, GDDR memory’s combination of high bandwidth, low latency, power efficiency and suitability for high-volume applications will be incre... » read more

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