Ai-podden

Edward Hu, Researcher at OpenAI, known for his invention of LoRa, a widely used machine learning method to fine-tune Large Language Models (LLMs) which he co-invented at Microsoft, shares his views on LoRa. Together with Ather he also discusses the development of GFlowNets as a promising tool for the development of reasoning and planning AI systems.  Don't forget to subscribe and follow us on Linkedin

In this episode of AI-Podden, Mimi Billing and I highlight the latest news in AI in December and take a look back at 2023. Google DeepMind’s Gemini In early December Google Deepmind launched its large language model Gemini in three different versions: Ultra, Pro, and Nano. The Ultra version is said to beat OpenAI’s GPT-4 in almost everything – it is also said to be better than human experts in language understanding. The one thing that GPT4 is still stronger at is commonsense reasoning for everyday tasks. EU AI ACT On Friday the 9th, European Union policymakers agreed on a provisional deal on some landmark rules governing the use of artificial intelligence (AI). Many seem to be happy about it, when reading Reauters but in Sifted, The Act — which has yet to be finalised — is said to be perhaps hindering the progress of smaller startups, according to investors and AI founders, potentially putting Europe even further back in the global AI race. The act would not apply to open source models (like Mistral’s), unle

Our guest in the episode of AI-podden is Andy Karvonen, Professor of Urban Design and Planning at Lund University. Andy shares with us his thoughts and ideas on the future of cities, painting a picture of how we could see autonomous systems running around visually, such as self-driving cars and robots performing certain tasks. He describes a future of an “Urban Brain", where we have some kind of smart city control room managing all aspects, from traffic to transportation and the management of facilities. Andy and Ather discuss the pros and cons of such a future, delving into the hard but important questions of privacy, surveillance, and so on. Andy and Ather also discuss the future of an AI-driven society, policymaking, and how to deal with the challenge of big tech dominating in the AI tech field.

Our guests in this episode of AI-podden are Mika Gustafsson, Prof., and David Martinez, PhD student, both at Linköping University. Mika and David conduct research in Bioinformatics and precision medicine. They are exploring how to use complex patient data, both clinical and environmental (such as the lifestyle) to develop personalized treatments and to help understand diseases more in depth in order to take preventive measures. David and Mika explain why bioinformatics and precision medicine is so complex, given the number of parameters affecting the human body and their complex interplay. The challenge of data acquisition is another challenge. For that challenge, they are working on federated learning to train AI systems without requiring private data to be shared. Ather, Mika, and David discuss the trade-offs of using federated learning, and the performance degradation that one might get for not sharing the data to a central unit directly. David and Mika go on and tell us about the greatest impacts of AI on

Let’s start with the company behind chatGPT, OpenAI. No one has missed the last couple of weeks' happenings at OpenAI, where the CEO and cofounder Sam Altman was fired on Friday the 17th and then on Monday evening reinstated as CEO. There have been a lot of rumours of why he was fired in the first place but I think we need to focus on something different. Usually, when you kick out your CEO and cofounder, your investors get a heads-up at the very least. In the case of Open AI, the investors include Microsoft, Khosla Ventures, Andreessen Horowitz, Founders Fund and Sequoia — these are big firms. All of them were kept in the dark. The reason for this is that none of these investors sits on the OpenAI board of directors since the company has a different structure — it is run like a non-profit company. I believe this was set up as a part of safety measures since OpenAI is working on AGI (artificial general intelligence) and if the CEO diverged from the safest path, the board could fire him. So after that TDLR, is

AI-podden with Agnes Lindell, Head of Data Driven Business at Elvenite. Agnes shares with us her experience in building data driven tools in the food industry, all from some of their most successful use cases to how they managed to do it. She mentioned the biggest challenges and how they managed to tackle them. A few examples include inventory optimization with over 10% of savings, to using AI to efficiently grow various types of seeds in different environments. Agnes Lindell walks us through simple steps that she follows in order to become data driven and check the AI readiness, that is all from the level of digitalization to the availability of data, checking data quality, starting small to build a proof of concept, etc. She does also share her favorite AI tools (Hint: it's not a Chatbot!). Read more: https://ai-podden.se/

Our guest in this week’s episode of AI-podden is Kye Andersson, Co-Founder and Chief Product Officer at Canucci and also author of the recently published Sifted article on the technological, and especially AI gap, between the EU and the US and China. Kye argues that we have too much focus on regulations, especially on less likely scenarios, and we are making the innovation in the EU more difficult. He underlines the fact that there are more urgent topics to discuss when it comes to regulations and societal impacts, rather than the focus of making it extremely difficult to innovate in the field of AI. Kye and Ather discuss how the EU should approach AI developments and regulations, what benefits we may get in the future, and what a future society might look like. Read more: https://ai-podden.se/

In this special episode of AI-podden, we have the pleasure to introduce Mimi Billing from Sifted who will be co-hosting AI-podden in this special format where we get updates of the recent AI developments. In this episode, we are discussing why Nvidia is using AI to train a robot how to spin a pen between its fingers, China’s claim that they have built an LLM as good as Chat GPT4 and the newest developments in the space of regulating AI - these are some of the topics discussed in this episode of the AI podcast with Ather Gattami and Mimi Billing. Read more: https://ai-podden.se/

The AI Swede of the year (2023) is Max Gordon, and he is also our (returning) guest in this episode of AI-podden! Max is an orthopedic surgeon and Associate professor at Karolinska Institute. Max Gordon shares with us his story of applying AI in Healthcare, how he got into it, where he started, and how he dealt with acquiring data, testing, building the user interface, and having a prototype transforming into a product at Danderyd Hospital where he does his clinical work. Read more: https://ai-podden.se/en

This week we are hosting Nastaran Baleng-Soultani, co-founder of Space Academy and RadCap Ventures. Nastaran shares with us her thoughts about the “AI hype” and the trends of AI startup investments. She describes the ultimate startup settings where she would be interested in investing. In particular, Nastaran expresses her interest in ideas where AI could help us solve climate challenges and be more sustainable, and she provides a couple of examples. Beyond the idea, Nastaran's focus is on the team and the passion of the team to solve the problems they are tackling. What makes female-founded AI startups different? This is a question that Nastaran answers. While her observations don't show any difference between companies with and without female founders, she notices that female founders tend to focus on sustainability. Ather asks Nastaran whether she would ever invest in an AI company based on a presentation only. Tune in to hear Nastaran’s thoughts!

Ather’s guest in this episode is Eva Fors, Managing Director of Google Cloud Nordics. Eva and Ather discuss the most recent developments in the AI services provided by Google Cloud and how Google Cloud is feeling the sentiment around AI developments. Eva shares her thoughts on the balance between AI developments and regulations. She provides examples of what she sees as the biggest challenges with AI. She goes on and compares with the benefits that we could gain from AI. If you want to hear Eva’s conclusions and notifications, don’t miss out on this episode! Read more: https://ai-podden.se/

Our guest in this episode of AI-podden is Carl-Axel Wahlström, AI Artist and Creator of the AI fashion magazine Copy. Carl-Axel shares with us his experience and journey of using AI in his creative work, where he describes the AI tools he is using as “friends” that he enjoys working with. He tells us how he came about to create Copy and the journey that led him to create a magazine that is the first of its kind, with really fascinating images that look so real. Read more: https://ai-podden.se/

Our guest in this episode of AI-podden is Lars Albertsson, founder of Scling and one of Scandinavia’s most skilled data engineers, with experience from Google and Spotify. Lars shares with us his experience as a pioneer in the data engineering field, what his learnings has been, and the approach he takes in solving data architecture and engineering problems.

We have great pleasure of hosting Mert Pilanci, Professor at Stanford University. Mert Pilanci shares with us his recent research breakthroughs in machine learning. Mert and his group discovered that the training of shallow neural networks can be transformed into super-efficient algorithms that always achieve the best accuracy possible on the first shot. Read more: https://ai-podden.se/

We are excited to host Anders Arpteg this week, Data Science Director of the Swedish Security Service. Anders shares with us the very important role he and his team play in protecting Sweden from bad actors with the help of data and AI! Find more: https://ai-podden.se/

Our guest in this episode of AI-podden is Milan Kordestani, Entrepreneur, Investor, and Author. Milan, who is a serial entrepreneur, tells us about how a couple of his startups apply AI to help people prepare for interviews and provide training and mentorship to help them choose individualized career paths. Milan puts his investor hat on and explains his view on the investment market. He believes that simply applying AI without a technological moat won’t be attractive enough for investors. Milan and Ather also discuss Milan’s book “I’m Just Saying,”, where the issue of not being able to have open conversations about different opinions is becoming more of a challenge today. This is highly relevant today as we debate the dangers and advantages of AI in the future. Read more: https://ai-podden.se/

In this episode, we are hosting two great guests, Reggie Townsend, Vice President, Data Ethics Practice. Member of the Biden AI Advisory Committee, and Josefin Rosén, Head of AI at the SAS Institute. We discussed broadly how we can benefit from the technology of artificial intelligence and at the same time make sure that it’s used for the benefit of mankind, as well as what measures we should take to prevent the malicious use of AI. Read more: https://ai-podden.se/

AI-podden with Stephanie Ora and Mark Thundercliffe, SAS Institute. Stephanie and Mark discuss the role of AI, data, and analytics for risk management. We get some examples of how AI could be used to mitigate risks such as fraud and money laundering in financial services. Read more: https://ai-podden.se/

In this episode, AI-Podden talks with Anders Gustafsson, Chief Strategy Officer, Brightbid. Anders tells us how Brightbid uses AI to help companies better reach their customers through Google Ads. He explains how Google and Bing ads work and how a more data driven approach to bidding per ad and user could increase the conversion rate, that is increase the number of users clicking on a company’s ad per amount of money spent. Read more: https://ai-podden.se/

AI-podden with Dylan Sellberg, Director of Product at Hubspot. Dylan tells us about Hubspot’s latest AI developments, especially the new product development he is leading, ChatSpot.ai. He also shares other functionalities where Hubspot implemented AI to improve the product. Read more: https://ai-podden.se/