We develop ProxelGen, a protein structure generative model that operates on 3D densities as opposed to the prevailing 3D point cloud representations. Representing proteins as voxelized densities, or proxels, enables new tasks and conditioning capabilities. We generate proteins encoded as proxels via a 3D CNN-based VAE in conjunction with a diffusion model operating on its latent space. Compared to state-of-the-art models, ProxelGen's samples achieve higher novelty, better FID scores, and the same level of designability as the training set. ProxelGen's advantages are demonstrated in a standard motif scaffolding benchmark, and we show how 3D density-based generation allows for more flexible shape conditioning.

If you want to support my writing, where I depend on community support, you can do so with so by going here. If there was a legitimate AI for Good story for artificial intelligence in the 2020s, it would be healthcare. A male dominated Venture Capital sector has skewed the impact of A.I. up until now to a profit-centric degree. Given that's the kind of world we live in, I'm always looking for more uplifting stories around the emergence of AI. Recently an MIT researcher who survived breast cancer devised a technique that seems to predict many breast cancer cases (WP paywalled).

The decisions that we make now and in the near future will set the tone for the rest of the decade including how artificial intelligence (AI) may develop and how we will use it. It will require enlightened leadership to maximise the benefit for human society. This article is focused on providing a moment of reflection in terms of where we are and where we are going from a policy and philosophical perspective and to serve as a prelude to a more technical article on the next generation of AI that will follow. Positive use case potential for AI includes the fight against Covid -19. For example The Lancet published an article authored by Zhou et al. entitled "Artificial Intelligence in COVID-19 drug repurposing" and state that " In this Review, we introduce guidelines on how to use AI for accelerating drug repurposing or repositioning, for which AI approaches are not just formidable but are also necessary. We discuss how to use AI models in precision medicine, and as an example, how AI models can accelerate COVID-19 drug repurposing."

The decisions that we make now and in the near future will set the tone for the rest of the decade including how artificial intelligence (AI) may develop and how we will use it. It will require enlightened leadership to maximise the benefit for human society. This article is focused on providing a moment of reflection in terms of where we are and where we are going from a policy and philosophical perspective and to serve as a prelude to a more technical article on the next generation of AI that will follow. Positive use case potential for AI includes the fight against Covid -19. For example The Lancet published an article authored by Zhou et al. entitled "Artificial Intelligence in COVID-19 drug repurposing" and state that " In this Review, we introduce guidelines on how to use AI for accelerating drug repurposing or repositioning, for which AI approaches are not just formidable but are also necessary. We discuss how to use AI models in precision medicine, and as an example, how AI models can accelerate COVID-19 drug repurposing."

In September 2020, Regina Barzilay was announced as the winner of the inaugural AAAI Squirrel AI award. Regina was formally presented with the prize during an award ceremony at the AAAI2021 conference, following which she delivered an invited talk. She spoke about two particular areas of medicine that she has been researching: drug discovery and cancer diagnosis. It is well-known that the development of drugs is slow and expensive. Currently, drug discovery is primarily experimentally driven, with properties of molecules investigated empirically.

Leading researchers discussed which requirements AI algorithms must meet to fight bias in healthcare during the'Artificial Intelligence and Implications for Health Equity: Will AI Improve Equity or Increase Disparities?' session which was held on 1 December. The speakers were: Ziad Obermeyer, associate professor of health policy and management at the Berkeley School of Public Health, CA; Luke Oakden-Rayner, director of medical imaging research at the Royal Adelaide Hospital, Australia; Constance Lehman, professor of radiology at Harvard Medical School, director of breast imaging, and co-director of the Avon Comprehensive Breast Evaluation Center at Massachusetts General Hospital; and Regina Barzilay, professor in the department of electrical engineering and computer science and member of the Computer Science and AI Lab at the Massachusetts Institute of Technology. The discussion was moderated by Judy Wawira Gichoya, assistant professor in the Department of Radiology at Emory University School of Medicine, Atlanta. Artificial intelligence (AI) may unintentionally intensify inequities that already exist in modern healthcare and understanding those biases may help defeat them. Social determinants partly cause poor healthcare outcomes and it is crucial to raise awareness about inequity in access to healthcare, as Prof Sam Shah, founder and director of Faculty of Future Health in London, explained in a keynote during the HIMSS & Health 2.0 European Digital event.

The year of 2020 has proved to be a challenging year defined mostly across the world by a global pandemic and as a result an increasing shift towards digital. The decisions that we make now and in the near future will set the tone for the rest of the decade including how AI may develop and how we will use it. It will require enlightened leadership to maximise the benefit for human society. This article is focused on providing a moment of reflection in terms of where we are and where we are going from a policy and philosophical perspective and to serve as a prelude to a more technical article on the next generation of AI that will follow. Positive use case potential for AI includes the fight against Covid -19.

Njideka Akunyili Crosby, a 2017 MacArthur Fellow, photographed in her studio in Los Angeles, CA on Wednesday September 13th, 2017.Photo courtesy of the MacArthur Foundation. The MacArthur Foundation announced today it has selected 24 individuals -- from photographers and historians, to computer scientists and psychologists -- for its annual "genius grant," given to those who have "extraordinary originality and dedication to their creative pursuits." How does someone become a so-called "genius"? We reached out to a few of them to ask about their "secret sauce." What are the quirks and habits that fuel their creativity and enhance their work?