If I started to work at the university, such as Harvard, Cambridge, UBC or Iceland. I would love to work on the following topics.

All students/professors to get a personal mind soul clock that runs on an apple device. Access to a unique mind creative board, Daltu. Enroll gift and access to it to install and use.

Ecology - sound of life. Continue the research from Karen Bakker to better understand the sounds of life and how we can better nuture it and assist the preservation of farming, food and our lovely forests. Reducing wildfires and perhaps even better undestanding tectonic plate movements to predict severe earthquakes and volcanos, to give warning and country emergency planning.

Computer Science, investigate getting more out of less. Investigating the lower levels of compute to leverage a CPU. It was possible to render video and images of CPUs that had less than pentium II chips that ran at a clock frequency of 300Mhz, why is it today that we have 3/4/5GHZ clock frequency processors that run with 8 cores that do exactly the same. Why haven’t we investigated the lower bit based storage and processing of that data to leverage modern processors to get accelerated software that is discrete, producing perhaps the ability to stream multiple video renders from a Formula 1 race.

The same being applied to the bandwidth and networking, it was possible to download an mp3 from an IRC channel in late 90s and today we stream music on Spotify. What is it that we should investigate the TCP/IP stack to innovate new methods of data transfer and re-usability.

AI and the use of GPUs and the expensive task of using electricity, why couldn’t we return to the use of intelligent search indexes that even Google had with their early Google desktop search, that created an index that you could search locally, today in all Macbooks there are neural cores, why isn’t it possibile to better analyze and index data for intelligent questions and answers. This would be great for students to build their own research indexes that are private from scarce literature, it’s the curation of the content that makes intelligence rather than a LLM model that indexes billions of tokens.

Academic professors and students to be able to index their own literature, books into an AI agent that they can talk to. Such as indexing the Charles Darwin On the origin of species, and being able to ask it questions, almost as though you'd be speaking to the author, then allowing for associated literature/books to be indexed against it. Creating private, informative knowledge indexes that can be collaborative or unique for specific departments to generate unique insights on knowledge old against new. Something that today's AI LLMs can't do.