Apple's AI Workshop Collection on Video
Apple held a seminar series with AI researchers from the company in the summer. Now the videos are online – and still interesting despite their age.
Apple AI Workshop: Here Researcher Iman Mirzadeh.
(Image: Apple)
In the field of Artificial Intelligence and its resulting products, things are moving at breakneck speed. New developments sometimes only take weeks before they hit the market and/or establish themselves. Nevertheless, long-term AI science remains interesting. This was apparently also the thinking in Apple's Machine Learning Research (MLR) department, which repeatedly comes up with interesting studies – and has therefore now released several hours of video material from a major AI workshop held last summer.
Eight selected lectures
The event, which took place in July, focused on the areas of reasoning (AI systems that seemingly "think") and planning (agentic planning capabilities). A newly created homepage makes a total of eight presentations as well as numerous papers accessible. The presentations are from Apple researchers as well as affiliated institutions at universities and institutes.
Videos by heise
The "Apple Workshop on Reasoning and Planning" lasted two days in total. It was aimed at the broader AI research community, according to Apple. In addition to the topics of reasoning and planning, it also covered the steps from applications to agents and the development of new models. However, Apple does not present all the lectures held over the two days – it is only selected material.
Training agents, creating algorithms
As is customary with its AI research, Apple is providing videos and papers free of charge for viewing and download. Among others, a presentation by Apple researcher Iman Mirzadeh, who investigates whether reasoning models are truly intelligent, is worth watching. Ruslan Salakhutdinov speaks about new training methods for agents that scale to "Internet size," and Jeff Clune shows how AI models could generate algorithms faster and better.
"The group also explored architectures that leverage memory and adaptation and how to plan and reason in a trustworthy, safe, and efficient manner," Apple writes. A look at the studies linked, as mentioned, can also be worthwhile.
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