A race is on to push artificial intelligence beyond today’s limits.

Compiling this list to help myself and others learn about the entrepreneurial landscape and find opportunities for funding! My list includes brief descriptions/explanations for each entry. Many (but not all) of these resources are aimed at academic researchers seeking to spin off companies based on new biotechnology inventions.
Samsung Foundry has reportedly secured a major 2nm customer, the US AI chip firm Ambarella, as the Korean giant seeks to gain market dominance.
Samsung’s 2nm GAA Process Faces Yield Issues, Yet The Firm Still Has Massive Attention From The Markets
Samsung is currently navigating its way through the semiconductor industry since the firm’s foundry division hasn’t witnessed a “conclusive” breakthrough yet, especially for its higher-end processes. To add further confusion to the matter, reports state the Samsung hasn’t managed to achieve “industry-standard” yield rates with its processes, notably the 3nm GAA, which goes to show that the Korean giant is experiencing a hard time in the markets. However, The Elec now reports that Samsung Foundry has secured a 2nm client, the renowned US semiconductor design company Ambarella.
A GROUNDBREAKING cancer vaccine could stop tumours growing in patients with advanced disease, researchers say.
Designed to prime the body to recognise and fight cancer cells, the jab could stimulate the immune system to help treat the disease more effectively, early trial results show.
Researchers described the results as “an important first step” in developing a new treatment for people with advanced cancers.
The first statistically significant results are in: not only can Large Language Model (LLM) AIs generate new expert-level scientific research ideas, but their ideas are more original and exciting than the best of ours – as judged by human experts.
Recent breakthroughs in large language models (LLMs) have excited researchers about the potential to revolutionize scientific discovery, with models like ChatGPT and Anthropic’s Claude showing an ability to autonomously generate and validate new research ideas.
This, of course, was one of the many things most people assumed AIs could never take over from humans; the ability to generate new knowledge and make new scientific discoveries, as opposed to stitching together existing knowledge from their training data.