category: Top Stories

category: IoT, Security & Automotive

Neural Networks Without Matrix Math
By Katherine Derbyshire - 17 Sep, 2020 - Comments: 0

The challenge of speeding up AI systems typically means adding more processing elements and pruning the algorithms, but those approaches aren't the only path forward. Almost all commercial machine learning applications depend on artificial neural networks, which are trained using large datasets with a back-propagation algorithm. The network first analyzes a training example, typically assign... » read more

Custom Designs, Custom Problems
By Ed Sperling - 16 Sep, 2020 - Comments: 0

Semiconductor Engineering sat down to discuss power optimization with Oliver King, CTO at Moortec; João Geada, chief technologist at Ansys; Dino Toffolon, senior vice president of engineering at Synopsys; Bryan Bowyer, director of engineering at Mentor, a Siemens Business; Kiran Burli, senior director of marketing for Arm's Physical Design Group; Kam Kittrell, senior product management group d... » read more

Moov: Used Equipment Digital Marketplace
By Ed Sperling - 14 Sep, 2020 - Comments: 1

Most startups in the tech world are done by engineers or scientists. The idea behind Moov, a platform for buying and selling used equipment, is the brainchild of investment bankers. In effect, Moov has built a futures platform for semiconductor manufacturing equipment, with prices updated every few minutes from all over the world. "The basic idea is that every few years, companies upgrade... » read more

Integrity Problems For Edge Devices
By Brian Bailey - 14 Sep, 2020 - Comments: 0

Battery-powered edge devices need to save every picojoule of energy they can, which often means running at very low voltages. This can create signal and power integrity issues normally seen at the very latest technology nodes. But because these tend to be lower-volume, lower-cost devices, developers often cannot afford to perform the same level of analysis on these devices. Noise can come in... » read more

Nvidia To Buy Arm For $40B
By Ed Sperling - 13 Sep, 2020 - Comments: 2

Nvidia inked a deal with Softbank to buy Arm for $40 billion, combining the No. 1 AI/ML GPU maker with the No. 1 processor IP company. Assuming the deal wins regulatory approval, the combination of these two companies will create a powerhouse in the AI/ML world. Nvidia's GPUs are the go-to platform for training algorithms, while Arm has a broad portfolio of AI/ML processor cores. Arm also ha... » read more

Is DVFS Worth The Effort?
By Brian Bailey - 10 Sep, 2020 - Comments: 2

Almost all designs have become power-aware and are being forced to consider every power saving technique, but not all of them are yielding the expected results. Moreover, they can add significant complexity into designs, increasing the time it takes to get to tapeout and boosting up the cost. Dynamic voltage and frequency scaling (DVFS) is one such power and energy saving technique now being... » read more

Dealing With Device Aging At Advanced Nodes
By Ann Mutschler - 10 Sep, 2020 - Comments: 0

Premature aging of circuits is becoming troublesome at advanced nodes, where it increasingly is complicated by new market demands, more stress from heat, and tighter tolerances due to increased density and thinner dielectrics. In the past, aging and stress largely were separate challenges. Those lines are starting to blur for a number of reasons. Among them: In automotive, advanced-node... » read more

Compiling And Optimizing Neural Nets
By Bryon Moyer - 10 Sep, 2020 - Comments: 0

Edge inference engines often run a slimmed-down real-time engine that interprets a neural-network model, invoking kernels as it goes. But higher performance can be achieved by pre-compiling the model and running it directly, with no interpretation — as long as the use case permits it. At compile time, optimizations are possible that wouldn’t be available if interpreting. By quantizing au... » read more

Formal Verification Becoming Critical To Auto Security, Safety
By Ann Mutschler - 09 Sep, 2020 - Comments: 0

Formal verification is poised to take on an increasingly significant role in automotive security, building upon its already widespread use in safety-critical applications. Formal has been essential component of automotive semiconductor verification for some time. Even before the advent of ADAS and semi-autonomous vehicles — and functional safety specifications like ISO 26262 and cybersecur... » read more

New Data Format Boosts Test Analytics
By Anne Meixner - 08 Sep, 2020 - Comments: 0

Demand for more and better data for test is driving a major standards effort, paving the way for one of most significant changes in data formats in years. There is good reason for this shift. Data from device testing is becoming a critical element in test program decisions regarding limits and flows. This is true for everything from automotive and medical components to complex, heterogeneous... » read more

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