Maths (source: TORLEY on Flickr) This is a keynote from the Artificial Intelligence Conference in New York 2018. Revise GCSE/IGCSEs and A-levels! She also works on social-good-focused ML projects, including models of opioid abuse behavior in Appalachia and data-driven community needs assessments for vulnerable populations. See other highlights from the event. Encourage your colleagues, students, and collaborators to learn about how these technologies are used beyond the lab and advocate to policy makers when these uses are harmful. She sits on the Executive Board of Women in Machine Learning, the Executive Committee of the APS Forum on Physics and Society, and she serves as the ML Knowledge Convener for the CMS experiment.An artificial neural network incorporating nonlinear waves could help reduce energy consumption within a bioinspired (neuromorphic) computing device.Biophysicist James Hurley studies how viruses, such as the one that causes COVID-19, manipulate cellular membranes to infect cells.Physicists returning to the lab after the long shutdown describe family science chats, paperwork headaches, and raising the next generation of experimentalists.Physicists returning to the lab after the long shutdown describe family science chats, paperwork headaches, and raising the next generation of experimentalists.Biophysicist James Hurley studies how viruses, such as the one that causes COVID-19, manipulate cellular membranes to infect cells.Physicists returning to the lab after the long shutdown adjust to lone-working protocols and appreciate some gains in productivity.Use of the American Physical Society websites and journals implies that the user has read and agrees to our Physicists are increasingly utilizing AI and even driving its development, but we cannot divorce ourselves from the ethical implications and impacts of this technology.
Well, it’s no secret that AI and ML are increasingly a core component of physics research programs.

Look for instances where research could have questionable ethical implications and push back by starting conversations with the authors and research community.

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Physics research often requires a careful analysis of algorithmic bias or interpretability, which are critical methods for improving the fairness of AI systems.
There is no doubt that artificial intelligence will play a major role in all areas of future scientific research.

Artificial intelligence in medical physics, quantum computing in silicon and a return to physics in film 22 Nov 2019 Margaret Harris This week’s episode focuses on the interface between physics and computing, with deep dives into how artificial intelligence (AI) is contributing to medical physics and how silicon could form the basis of a future quantum computer. However, change may be coming. Moreover, as community members, we have a duty to participate in these conversations and efforts.

Our collective imaginations of AI are often focused on this “singularity”—an irreversible point when technology overtakes humanity.However, the realization of this kind of artificial general intelligence (AGI), where a machine can perform any cognitive task a human can, remains a long way off. To do this they have traditionally used a technique called X-ray crystallography. Other physicists undertake cross-disciplinary research that advances both fields; some even hold joint appointments across physics and computer science. Governments and organizations worldwide already rely on uninterpretable, under-tested, third-party algorithms to make critical decisions around These harmful impacts of AI have occurred, in part, because the rate of innovation has far outpaced the development of legislative oversight and because technology companies have been reluctant to (or have refused to) self-regulate. Her physics-related projects include building faster, more efficient ML-based algorithms for the High-Luminosity LHC and on using physics constraints to inform ML architectures. Yet, in many ways, we are not much closer to achieving AGI than we were in 1951 when pioneering computer science researcher While it’s important to think about the ethical implications of AGI, preoccupation with the singularity often eclipses the fact that we are already living in a technological dystopia.

May 2, 2018 . In fact, the US National Science Foundation included “AI for Discovery in Physics” as one of six themes in its call for cross-disciplinary Physicists have the opportunity to play a critical role in understanding and regulating AI. Contribute to discussions at your institute or at conferences. How Quantum Physics and AI is Disrupting Drug Discovery & Development. The past few years have seen a rapid growth of interest in artificial intelligence from industry to academia.

About half of the However, physicists aren’t just recycling existing ML methods and applying them to physics questions.

We cannot separate ourselves from the global ethical implications of the algorithms we build simply because our primary intent is to use them to enable physics research.If you’re grappling with AI ethics for the first time (or even if you’ve thought about these issues many times before), I encourage you to start with readings from prominent scholars in the field. Popular media depictions of AI often involve apocalyptic visions of killer robots, humans mined for resources, or the elimination of the human race altogether. When a new molecule is a potential drug candidate, scientists want to learn as much about the molecule as possible; its shape, size and other properties down to the electron level. Physicists are putting themselves out of a job, using artificial intelligence to run a complex experiment.


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