tag: AI/ML

Mass Customization For AI Inference
By Ann Mutschler - 17 Oct, 2024 - Comments: 0

Rising complexity in AI models and an explosion in the number and variety of networks is leaving chipmakers torn between fixed-function acceleration and more programmable accelerators, and creating some novel approaches that include some of both. By all accounts, a general-purpose approach to AI processing is not meeting the grade. General-purpose processors are exactly that. They're not des... » read more

The Uncertainty Of Certifying AI For Automotive
By Ann Mutschler - 06 Jun, 2024 - Comments: 1

Nearly every new vehicle sold uses AI to make some decisions, but so far there is no consistency in what is being developed, where it is being used, and whether it is compatible with other vehicles on the road. This fragmentation is partially due to the fact that AI is still a nascent technology, and cars and trucks sold today may be significantly different than those that will be sold sever... » read more

Running More Efficient AI/ML Code With Neuromorphic Engines
By Karen Heyman - 16 May, 2024 - Comments: 0

Neuromorphic engineering is finally getting closer to market reality, propelled by the AI/ML-driven need for low-power, high-performance solutions. Whether current initiatives result in true neuromorphic devices, or whether devices will be inspired by neuromorphic concepts, remains to be seen. But academic and industry researchers continue to experiment in the hopes of achieving significant ... » read more

Using AI/ML To Combat Cyberattacks
By John Koon - 09 May, 2024 - Comments: 0

Machine learning is being used by hackers to find weaknesses in chips and systems, but it also is starting to be used to prevent breaches by pinpointing hardware and software design flaws. To make this work, machine learning (ML) must be trained to identify vulnerabilities, both in hardware and software. With proper training, ML can detect cyber threats and prevent them from accessing critic... » read more

Fundamental Issues In Computer Vision Still Unresolved
By Karen Heyman - 02 May, 2024 - Comments: 1

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ability to identify corner cases or if algorithms are trained on shallow datasets. While well-known bloopers are often the result of human decisions, there are also fundamental technical issues that ... » read more

Linear Drive Optics May Reduce Data Latency
By Karen Heyman - 11 Apr, 2024 - Comments: 0

Optical and electrical are starting to cross paths at a much deeper level, particularly with the growing focus on 3D-ICs and AI/ML training in data centers, driving changes both in how chips are designed and how these very different technologies are integrated together. At the root of this shift are the power and performance demands of AI/ML. It can now take several buildings of a data cente... » read more

SRAM Scaling Issues, And What Comes Next
By Karen Heyman - 15 Feb, 2024 - Comments: 0

The inability of SRAM to scale has challenged power and performance goals forcing the design ecosystem to come up with strategies that range from hardware innovations to re-thinking design layouts. At the same time, despite the age of its initial design and its current scaling limitations, SRAM has become the workhorse memory for AI. SRAM, and its slightly younger cousin DRAM, have always co... » read more

Dramatic Changes Ahead For Chips And Systems
By Karen Heyman - 21 Dec, 2023 - Comments: 0

Early this year, most people had never heard of generative AI. Now the entire world is racing to capitalize on it, and that's just the beginning. New markets, such as spatial computing, quantum computing, 6G, smart infrastructure, sustainability, and many more are accelerating the need to process more data faster, more efficiently, and with much more domain specificity. Compared to the days ... » read more

Securing AI/ML Training And Inference Workloads
By Bart Stevens - 02 Nov, 2023 - Comments: 0

AI/ML can be thought about in two distinct and essential functions: training and inference. Both are vulnerable to different types of security attacks and this blog will look at some of the ways in which hardware-level security can protect sensitive data and devices across the different AI workflows and pipelines. The security challenges encountered with AI/ML workloads can be addressed by i... » read more

AI Drives Need For Optical Interconnects In Data Centers
By Karen Heyman - 28 Sep, 2023 - Comments: 0

An explosion of data, driven by more sensors everywhere and the inclusion of AI/ML in just about everything, is ratcheting up the pressure on data centers to leverage optical interconnects to speed up data throughput and reduce latency. Optical communication has been in use for several decades, starting with long-haul communications, and evolving from there to connect external storage to ser... » read more

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