tag: neural networks

The Murky World Of AI Benchmarks
By Ann Mutschler - 30 Apr, 2020 - Comments: 0

AI startup companies have been emerging at breakneck speed for the past few years, all the while touting TOPS benchmark data. But what does it really mean and does a TOPS number apply across every application? Answer: It depends on a variety of factors. Historically, every class of design has used some kind of standard benchmark for both product development and positioning. For example, SPEC... » read more

More Multiply-Accumulate Operations Everywhere
By Ed Sperling - 02 Apr, 2020 - Comments: 1

Geoff Tate, CEO of Flex Logix, sat down with Semiconductor Engineering to talk about how to build programmable edge inferencing chips, embedded FPGAs, where the markets are developing for both, and how the picture will change over the next few years. SE: What do you have to think about when you're designing a programmable inferencing chip? Tate: With a traditional FPGA architecture you ha... » read more

Memory Issues For AI Edge Chips
By Mark LaPedus - 23 Mar, 2020 - Comments: 3

Several companies are developing or ramping up AI chips for systems on the network edge, but vendors face a variety of challenges around process nodes and memory choices that can vary greatly from one application to the next. The network edge involves a class of products ranging from cars and drones to security cameras, smart speakers and even enterprise servers. All of these applications in... » read more

Going On the Edge
By Mark LaPedus - 27 Jan, 2020 - Comments: 3

Emmanuel Sabonnadière, chief executive of Leti, sat down with Semiconductor Engineering to talk about artificial intelligence (AI), edge computing and chip technologies. What follows are excerpts of that conversation. SE: Where is AI going in the future? Sabonnadière: I am a strong believer that edge AI will change our lives. Today’s microelectronics are organized with 80% of things i... » read more

Checkmate: Breaking The Memory Wall With Optimal Tensor Rematerialization
By Technical Paper Link - 05 Dec, 2019 - Comments: 0

Source: Published on arXiv 10/7/ 2019   Paras Jain Ajay Jain Aniruddha Nrusimha Amir Gholami Pieter Abbeel Kurt Keutzer Ion Stoica Joseph E. Gonzalez A recent paper published on arXiv by a team of UC Berkeley researchers notes that neural networks are increasingly impeded by the limited capacity of on-device GPU memory. The UC Berkeley team uses off-the-shel... » read more

Using FPGAs For AI
By Brian Bailey - 02 Dec, 2019 - Comments: 3

Artificial intelligence (AI) and machine learning (ML) are progressing at a rate that is outstripping Moore's Law. In fact, they now are evolving faster than silicon can be designed. The industry is looking at all possibilities to provide devices that have the necessary accuracy and performance, as well as a power budget that can be sustained. FPGAs are promising, but they also have some sig... » read more

Using Multiple Inferencing Chips In Neural Networks
By Ed Sperling - 04 Oct, 2019 - Comments: 0

Geoff Tate, CEO of Flex Logix, talks about what happens when you add multiple chips in a neural network, what a neural network model looks like, and what happens when it’s designed correctly vs. incorrectly. » read more

New Vision Technologies For Real-World Applications
By Gordon Cooper - 03 Oct, 2019 - Comments: 0

Computer vision – the ability of a machine to ‘infer’ or extract useful information from a two-dimensional image or an uncompressed video stream of images – has the ability to change our lives. It can enable self-driving cars, empower robots or drones to see their way to delivering packages to your doorstep, and can turn your face into a payment method (Figure 1). To achieve these advan... » read more

Blog Review: Sept. 4
By Jesse Allen - 04 Sep, 2019 - Comments: 0

Synopsys' Taylor Armerding checks out Apple's newly expanded bug bounty program, with bounty payouts are increasing to compete with malicious actors, and why even with security-oriented development the practice of bug bounties will remain needed. Mentor's Colin Walls shares a few more embedded software tips, this time on external variables, delay loops in real time systems, and meaningful pa... » read more

Inferencing At The Edge
By Ed Sperling - 31 Jul, 2019 - Comments: 0

David Fritz, head of corporate strategic alliances at Mentor, a Siemens Business, shows how to apply YOLO (you only look once) at the edge, allowing automotive companies to move from a GPU to a much more efficient processor. That allows inferencing to move much closer to the sensor, so neural networks can be tailored to the type of data being produced. From there the data can be abstracted and ... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2025 SMG   |  Terms of Service  |  Privacy Policy