Maybe interesting.
Few subjects in business and technology are causing as much interest and excitement – or fear and distrust – right now as artificial intelligence. Aalto Leaders’ Insight talked with Teemu Roos, Associate Professor at the Department of Computer Science, University of Helsinki, about a few common myths about AI.
Otso Alasko
Learn about the breakthroughs in AI that are helping drones “think” for themselves.
Shortly after publishing a paper demonstrating how its artificial intelligence programs could generate viable lead compounds in just a few weeks, Insilico Medicine has signed a dual-program discovery collaboration with Jiangsu Chia Tai Fenghai Pharmaceutical worth up to $200 million.
Focused on previously undruggable targets in triple-negative breast cancer, the deal includes an upfront payment along with potential milestones and sales-based royalties pegged to any eventual products.
“We are very pleased to establish the partnership with Insilico Medicine, entering the new era of AI-enabled drug development,” Wenyu Xia, general manager of the China-based pharma company, said in a statement. “We look forward to a long-term partnership with Insilico Medicine.”
The research scientists’ warnings come amid rising concern about the power of the big tech companies. Most of the focus has been on the current generation of technology — search, online advertising, social media and e-commerce. But the scientists are worried about a barrier to exploring the technological future, when that requires staggering amounts of computing.
Each big step of progress in computing — from mainframe to personal computer to internet to smartphone — has opened opportunities for more people to invent on the digital frontier.
But there is growing concern that trend is being reversed at tech’s new leading edge, artificial intelligence.
Computer scientists say A.I. research is becoming increasingly expensive, requiring complex calculations done by giant data centers, leaving fewer people with easy access to the computing firepower necessary to develop the technology behind futuristic products like self-driving cars or digital assistants that can see, talk and reason.
Ishikawa Komuro Lab’s high-speed robot hand performing impressive acts of dexterity and skillful manipulation. For more information, see Hizook.com — https://youtu.be/redirect?q=http%3A%2F%2Fwww.hizook.com%2Fbl…cxMjg2MTI5
With the Skydio 2 Dock, a drone-in-a-box solution, the California startup wants to let companies rely on its obstacle-dodging, self-flying drone for automated mapping and surveillance — no humans needed.
Dr. Qingsong Zhu, the COO of Insilico Medicine, discussed the use of deep learning in creating biomarkers for aging. Initially discussing existing clocks and the problems with animal translation, he went on to discuss what sorts of markers are ideal for age-related research and the details of training and testing a model that works with these markers, showing that a deep model compares favorably to other models.
He also used his model to show that smoking does, in fact, cause accelerated aging.
Researchers at TU Delft have developed a new supercompressible but strong material without conducting any experimental tests at all, using only artificial intelligence (AI). “AI gives you a treasure map, and the scientist needs to find the treasure,” says Miguel Bessa, first author of a publication on this subject in Advanced Materials on 14 October.
Foldable bicycle
Miguel Bessa, assistant professor in materials science and engineering at TU Delft, got the inspiration for this research project during his time at the California Institute of Technology. At a corner of the Space Structures Lab, he noticed a satellite structure that could open long solar sails from a very small package.
