AI/ML – Observations from Uppsala

More Exploration of (Local) AI Models

In my previous blog post about the Intel AI Playground, I tested it by asking it to draw cars. In this post, I share some more exploration of these local AI models and their limitations. Turns out that cars are easy, other things not so much…

Hi Local AI, Draw Me …

I recently built a new desktop computer, featuring an Intel ARC 770 graphics card (just to be different). The card is supported by the Intel AI Playground, which is a software package that makes it dead easy to run AI/large language models (LLM) locally on my GPU. I was curious as to just what this could do, as compared to the big AI models that run on cloud servers.

Delivering AI-Based Solutions is not Always Easy

One of the nice properties of delivering software that users install on their own machines is that once the software has been built and shipped, the cost of running it is handed over to the user. The cost per installation and per user is minimal in terms of compute load on the developing company. Of course there are costs for things like support, but that is different. However, having the customer provide the compute resources is not necessarily that easy when it comes to AI-based setups.

Embedded Conference Scandinavia 2024

The Embedded Conference Scandinavia took place at Kistamässan in Kista, Sweden, on April 10 and 11 2024. This was a reboot of a show that used to run as a small tradeshow/exhibition plus technical talks until the pandemic hit. There was no Embedded Show anymore, just the Embedded Conference and its speaker program. The ECS was instead co-located with Elektronikmässan, the long-running and apparently thriving gathering for “electronics” companies in Sweden.

IBM WatsonX-AI, Kista Tech Tuesday

I attended a short Tech Tuesday morning session at IBM here in Kista, Sweden, where IBM presented their WatsonX-AI and related technologies. Tech Tuesdays is a monthly technical event organized by Kista Science City, where companies in Kista present some aspect of their technology in a 30-minute session. IBM managed to get an impressive amount of content into that time!

RI.SE AI Day – More on LLMs (and some)

The Swedish research institute RI.SE hosted an “Artificial Intelligence and Computer Science day” (AI and CS day) last week. RI.SE has a long tradition of hosting interesting open houses, both as RI.SE and in their previous guide as SiCS. The day was a mix of organized talks in the morning, and an open house where RI.SE researchers showed off their work in the afternoon. Most of the AI discussions were related to large language models (LLMs), but not all. I got some new insights about LLMs in general and using LLMs for coding in particular.

ChatGPT and Legal

In previous three blog posts (1,2,3) about ChatGPT in particular and large language models in general, I touched on what they can do, what they cannot do, what they seem not to do, how they fall down in funny ways, and why I think they are fundamentally flawed for many applications. There is one more aspect left to consider – the legal and licensing side. I am not a lawyer, I am not an expert, but it seems obvious that there is a huge problem. There are also clear questions about business morals and what the right thing to do would be. I also doubt the business viability of LLMs in the way they are currently trained.

ChatGPT and Critique

ChatGPT and other transformer-based models like Dall-E are technologically very impressive. They do things that seemed totally impossible just a few years ago. However, they are not really generally intelligent, and there are innumerable problems with how they work, what they do, what people think they do, ethics, and legal and licensing issues. This is my third post about ChatGPT, where I present my critique of and reflections on the technology. The previous posts were about ChatGPT and Simics and Coding using ChatGPT.

ChatGPT and Code

In my previous blog post about ChatGPT and Simics, I tested it on its knowledge and abilities with a fairly niche subject. Not unsurprisingly it did not do all that well. However, one area where ChatGPT appears to really work well is when dealing with program code. This seems more practically useful as well, especially as a generator of starting points and boiler-plate code. It can also sometimes do a decent job explaining code, subject to quite common bizarre mistakes and errors. Update: Part 3, a critique of ChatGPT has been published.

ChatGPT and Simics

It is an understatement to say that ChatGPT has been a hot topic since it was launched a few months back. Everyone seems to be seeing what it can do in their favorite domain, so I had to try it on what I work with, Simics and virtual platforms. The results did not live up to the hype some people think the technology deserves, but it was very impressive and a little scary nevertheless. This is the first post in what looks like it will be a series about ChatGPT. Update: Part 2, ChatGPT and Code, is now out. Update to the update: Part 3, a critique of ChatGPT has been published.

DAC 2022 – Back in Person, Chiplets, an Award, and Much More

The 59th Design Automation Conference (DAC) took place in San Francisco, July 10-14, 2022. As always, the DAC provided a great place to learn about what is going on in EDA. The DAC is really three events in one: there is an industry trade-show/exhibition, a research conference that is considered the premier in EDA, and an engineering track where practitioners present their work in a less formal setting.

I had two talks in the engineering track – one on the Intel device modeling language (which actually won the best presentation award in the embedded sub-track), and one on using simulation technology to build hardware software-first.

The DAC was almost overwhelming in the richness of people and companies, but this blog tries to summarize the most prominent observations.

DVCon Europe 2021 – Testbenches, AI, and Open Source

Just like in 2020, the Design and Verification Conference (DVCon) Europe 2021 was a virtual conference. It took place from October 26 to 27, with the SystemC Evolution day on October 28 (as usual). As has been the case in recent years, the verification side of the conference is significantly larger than the design side. This is common with the other DVCon conferences in the world. In this blog, I will go through my main observations from DVCon Europe, and share some notes from some of the presentations.

The SAMOS XXI Conference (Virtual)

The International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS) XXI conference took place a couple of weeks ago. Like all other events in the past 18 months, it was virtual due to Covid-19. For more on the background on the SAMOS conference, see my blog post about SAMOS XIX (from 2019). This year, I presented a tutorial about our public release of the Simics simulator and took the chance to listen to most of the other conference talks.

DVCon Europe 2020 – Developing Hardware like Software?

The Design and Verification Conference Europe (DVCon Europe) took place back in late October 2020. In a normal year, we would add “in München, Germany” to the end of that sentence. But that is not how things were done in 2020. Instead, it was a virtual conference with world-wide attendance. Here are my notes on what I found the most interesting from the conference (for various reasons, this text did come out with a bit of delay).

More on Programming

My blog post from last week, “Programming for Everyone, Everyone’s a Programmer?,” gave rise to some good comments from friends and colleagues on the matter of programming. Some of the points are worth addressing in a continuation of the discussion. To get the starting point, please read the previous post first.