I always enjoy surprising synergies so I was immediately attracted to a Research Highlight in the Communications of the ACM this month, on a game-theoretic method to balance discretionary speed-ups (known as computational sprints) in data centers. If you don’t have an ACM membership and want to dig deeper, I include an open link… Read More
Author: Bernard Murphy
Machine Learning and Gödel
Scanning ACM tech news recently, I came across a piece that spoke to my inner nerd; I hope it will appeal to some of you also. The discovery will have no impact on markets or investments or probably anyone outside theories of machine learning. Its appeal is simply in the beauty of connecting a profound but obscure corner of mathematical… Read More
Why High-End ML Hardware Goes Custom
In a hand-waving way it’s easy to answer why any hardware goes custom (ASIC): faster, lower power, more opportunity for differentiation, sometimes cost though price isn’t always a primary factor. But I wanted to do a bit better than hand-waving, especially because these ML hardware architectures can become pretty exotic, so … Read More
Contrarian Views on Quantum Computing
I’m not opposed to the exotic ideas which capture public attention from time to time, but I do enjoy puncturing a popular expectation demanding every novel technology be a revolutionary breakthrough. I’ve already made my small contribution to driving a stake through the heart of claims that quantum computing (QC) will replace… Read More
A Sharper Front-End to Intelligent Vision
In all the enthusiasm around machine learning (ML) and intelligent vision, we tend to forget the front-end of this process. The image captured on a CCD camera goes through some very sophisticated image processing before ML even gets to work on it. The devices/IPs that do this are called image signal processors (ISPs). You might … Read More
WhisPro: A Speech Recognition Option from CEVA
In the superheated world of AI and Neural Nets (NN), many of us are familiar with object recognition in images: cars, pedestrians, cats and dogs and thousands of other applications. But there’s another class of applications, also growing rapidly, around audio AI. Early generations for command recognition in infotainment systems… Read More
CEVA-BX: A Hybrid DSP and Controller
I’ve noticed hybrid solutions popping up recently (I’m reminded of NXP’s crossover MCU released in 2017). These are generally a fairly clear indicator that market needs are shifting; what once could be solved with an application processor or controller or DSP or whatever, now needs two (or more) of these. In performance/power/price-sensitive… Read More
Disturbances in the AI Force
In the normal evolution of specialized hardware IP functions, initial implementations start in academic research or R&D in big semiconductor companies, motivating new ventures specializing in functions of that type, who then either build critical mass to make it as a chip or IP supplier (such as Mobileye – intially)… Read More
Ampere: More on Arm-Based Servers
Since I talked recently about AWS adding access to Arm-based server instances in their cloud offering, I thought it would be interesting to look further into other Arm-based server solutions. I had a meeting with Ampere Computing at Arm TechCon. They offer server devices and are worth closer examination as a player in this game.… Read More
Big Data Analytics in Early Power Planning
ANSYS recently hosted a webinar talking about how they used the big-data analytics available in RedHawk-SC to do early power grid planning with static analytics, providing better coverage than would have been possible through pure simulation-based approaches. The paradox here is that late-stage analysis of voltage drops … Read More
More Headwinds – CHIPS Act Chop? – Chip Equip Re-Shore? Orders Canceled & Fab Delay