Novel math could bring machine learning to the next level

A team of Italian mathematicians, including one who is also a neuroscientist from the Champalimaud Centre for the Unknown (CCU), in Lisbon, Portugal, has shown that artificial vision machines can learn to recognize complex images spectacularly faster by using a mathematical theory that was developed 25 years ago by one of this new study’s co-authors. … Read more Novel math could bring machine learning to the next level

Novel molecules designed by artificial intelligence in 21 days are validated in mice

Insilico Medicine, a global leader in artificial intelligence for drug discovery, today announced the publication of a paper titled, “Deep learning enables rapid identification of potent DDR1 kinase inhibitors,” in Nature Biotechnology. The paper describes a timed challenge, where the new artificial intelligence system called Generative Tensorial Reinforcement Learning (GENTRL) designed six novel inhibitors of DDR1, … Read more Novel molecules designed by artificial intelligence in 21 days are validated in mice

AI uncovers new details about Old Master paintings

Artificial intelligence has been used to analyse high-resolution digital x-ray images of the world famous Ghent Altarpiece, as part of an investigative project led by UCL. The finding is expected to improve our understanding of art masterpieces and provide new opportunities for art investigation, conservation and presentation. Researchers from the National Gallery, Duke University and … Read more AI uncovers new details about Old Master paintings

Researchers demonstrate all-optical neural network for deep learning

Even the most powerful computers are still no match for the human brain when it comes to pattern recognition, risk management, and other similarly complex tasks. Recent advances in optical neural networks, however, are closing that gap by simulating the way neurons respond in the human brain. In a key step toward making large-scale optical … Read more Researchers demonstrate all-optical neural network for deep learning

Pores for thought: Ion channel study beckons first whole-brain simulation

Pores at the surface of neurons and muscle cells control your every thought, movement; the very beating of your heart. The way the pores behave – that is open, close, or lock for a short time (inactivate) depending on voltage – shapes signals in the form of ions moving across the cell surface. For the first … Read more Pores for thought: Ion channel study beckons first whole-brain simulation

Surgery simulators are key to assessment of trainees

Machine learning-guided virtual reality simulators can help neurosurgeons develop the skills they need before they step in the operating room, according to a new study. Research from the Neurosurgical Simulation and Artificial Intelligence Learning Centre at The Neuro (Montreal Neurological Institute and Hospital) and McGill University shows that machine learning algorithms can accurately assess the capabilities of … Read more Surgery simulators are key to assessment of trainees

Developing brain maps through artificial intelligence

Neuroscientists and machine learners from University of Zurich and ETH Zurich have introduced a novel artificial intelligence (AI)-based method to develop a brain atlas through deep learning. The researchers published their results on June 10, 2019 In Nature Machine Intelligence. Brain atlases for mice, humans and other species are not available for every developmental stages … Read more Developing brain maps through artificial intelligence

How can we ensure artificial intelligence is not destructive to society?

So you designed a superintelligent machine which has the goal of winning a game of chess. Sounds fairly straightforward. However, the machine has developed its own ‘subgoals’ to ensure it doesn’t lose. It can resist being turned off: a machine that’s turned off cannot win at chess. Suddenly, you have a rogue AI on your … Read more How can we ensure artificial intelligence is not destructive to society?

Driverless cars working together can speed up traffic by 35%

The researchers, from the University of Cambridge, programmed a small fleet of miniature robotic cars to drive on a multi-lane track and observed how the traffic flow changed when one of the cars stopped. When the cars were not driving cooperatively, any cars behind the stopped car had to stop or slow down and wait … Read more Driverless cars working together can speed up traffic by 35%