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Artificial Intelligence
Mentor put on a very interesting tutorial at DVCon this year. Commonly DVCon tutorials center around a single tool; less commonly (in my recent experience) they will detail a solution flow but still within the confines of chip or chip + software design. It is rare indeed to see presentations on a full system design including realistic… Read More
The trend of AI augmentation into many facets of silicon based hardware applications is on the rise. During the CASPA press conference in Santa Clara last week, Silvaco CEO David Dutton and SiFive VP, GM Christopher Moezzi were present to share their insights.
Silvaco CEO David Dutton mentioned that we are in new era in which many… Read More
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
We have entered the age of AI specific processors, where specialized silicon is being produced to tackle the compute needs of AI. Whether they use GPUs, embedded programmable logic or specialized CPUs, many AI chips are based on parallel processing. This makes sense because of the parallel nature of AI computing. As a result, in… Read More
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
The field of artificial intelligence has relied on heavy inspiration from the world of natural intelligence, such as the human mind, to build working systems that can learn and act on new information based on that learning. In natural networks, neurons do the work, deciding when to fire based on huge numbers of inputs. The relationship… Read More
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
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
On Star Trek when they asked the computer to do something, they never heard it say “Sorry, you have no photon torpedoes connected to your account”. However, this sort of thing is something that happens at my house when I forget the exact name of a specific light. How did I get here?
I was reluctant to buy a “home assistant” for all the reasons… Read More
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
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Real men have fabs!