Modeling galaxy-galaxy strong lensing observations A particular challenge with fully exploiting observations presents a number of challenges as the exact configuration of galaxy-galaxy strong gravitational lenses -- where an of both the background source and foreground extended background source is lensed by a foreground lens galaxy is unknown. A timely call, galaxy -- is that of accounting for the complex morphologies prompted by a number of upcoming surveys anticipating of lensed galaxies. Although sources in low-resolution high-resolution lensing images, demands images can be adequately modeled using phenomenological methods that can efficiently model lenses at their parameterizations such as one or several Sérsic profiles full complexity. In this work, we introduce a (Sérsic, 1963), this approach is inadequate for modeling method that uses continuous neural fields to nonparametrically higher-fidelity lensing observations such as those from ongoing, reconstruct the complex morphology upcoming, and proposed telescopes like the Hubble of a source galaxy while simultaneously inferring Space Telescope (HST), JWST, Euclid, and the Extremely a distribution over foreground lens galaxy Large Telescope (ELT). The development of new methods is configurations. We demonstrate the efficacy of especially timely, given the large number of high-resolution our method through experiments on simulated lenses that are expected to be imaged by next-generation data targeting high-resolution lensing images similar cosmological surveys (Collett, 2015) and their potential to to those anticipated in near-future astrophysical weigh in on the nature of dark matter (Simon et al., 2019).

Causal discovery and causal reasoning are classically treated as separate and consecutive tasks: one first infers the causal graph, and then uses it to estimate causal effects of interventions. However, such a two-stage approach is uneconomical, especially in terms of actively collected interventional data, since the causal query of interest may not require a fully-specified causal model. From a Bayesian perspective, it is also unnatural, since a causal query (e.g., the causal graph or some causal effect) can be viewed as a latent quantity subject to posterior inference -- other unobserved quantities that are not of direct interest (e.g., the full causal model) ought to be marginalized out in this process and contribute to our epistemic uncertainty. In this work, we propose Active Bayesian Causal Inference (ABCI), a fully-Bayesian active learning framework for integrated causal discovery and reasoning, which jointly infers a posterior over causal models and queries of interest. In our approach to ABCI, we focus on the class of causally-sufficient, nonlinear additive noise models, which we model using Gaussian processes. We sequentially design experiments that are maximally informative about our target causal query, collect the corresponding interventional data, and update our beliefs to choose the next experiment. Through simulations, we demonstrate that our approach is more data-efficient than several baselines that only focus on learning the full causal graph. This allows us to accurately learn downstream causal queries from fewer samples while providing well-calibrated uncertainty estimates for the quantities of interest.

As the U.S. government scrambles to pull the semiconductor rug out from under China's AI ecosystem, some AI researchers in the country are shrugging it off. "Nvidia will lose a lot of [market share] in their high-end GPU graphic cards, but a lot of the startups in China making those AI acceleration cards will get orders," according to an AI researcher and professor at a prestigious scientific university in Beijing who I spoke with via video chat this week. In China, where AI engineers and other developers are accustomed to technical workarounds to circumvent censors and other blockades, there may be some wiggle room to counteract U.S. export controls by building AI accelerator cards intended for more specific tasks, the researcher said. Nvidia's strengths have been in "very general-purpose GPUs that can handle [many] types of computations, like for gaming and computing." But building accelerators is not so difficult, the researcher said. "Just making accelerating cards is a lot easier because you just need to handle very few specific types of computations.

When it announced that "the world's first robot artist" would be giving evidence to a parliamentary committee, the House of Lords probably hoped to shake off its sleepy reputation. Unfortunately, when the Ai-Da robot arrived at the Palace of Westminster on Tuesday, the opposite seemed to occur. Apparently overcome by the stuffy atmosphere, the machine, which resembles a sex doll strapped to a pair of egg whisks, shut down halfway through the evidence session. As its creator, Aidan Meller, scrabbled with power sockets to restart the device, he put a pair of sunglasses on the machine. "When we reset her, she can sometimes pull quite interesting faces," he explained.

Zoltan Istvan is a former journalist, political candidate, entrepreneur, bestselling author, and founder of the US Transhumanist Party. He has been on this podcast twice before when we discussed Istvan's presidential campaign and his bestselling novel The Transhumanist Wager. During this 1-hour conversation with Zoltan Istvan, we cover a variety of interesting topics such as the challenge of doing graduate school at Oxford, Quantum Archaeology; Trump, transhumanism, politics, and conflict; the Immortality or Bust documentary; microchipping refugees and selling off public lands; the ethics of doing damage now in the hope of fixing it later; technosolutionism and why Technology is Not Enough; longevity, entrepreneurship, and healthcare; the distinction between a body with a brain vs a brain with a body; the timeline to AGI, mind-uploading and indefinite life extension. As always you can listen to or download the audio file above or scroll down and watch the video interview in full. To show your support you can write a review on iTunes, make a direct donation, or become a patron on Patreon.

The White House Office of Science and Technology Policy (OSTP) recently released a whitepaper called "The Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People". This framework was released one year after OSTP announced the launch of a process to develop "a bill of rights for an AI-powered world." The foreword in this bill clearly illustrates that the White House understands the imminent threats to society that are posed by AI. "Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public. Too often, these tools are used to limit our opportunities and prevent our access to critical resources or services. These problems are well documented. In America and around the world, systems supposed to help with patient care have proven unsafe, ineffective, or biased. Algorithms used in hiring and credit decisions have been found to reflect and reproduce existing unwanted inequities or embed new harmful bias and discrimination. Unchecked social media data collection has been used to threaten people's opportunities, undermine their privacy, or pervasively track their activity--often without their knowledge or consent."

Zurich - Founded in 2021, medtech aiEndoscopic combines artificial intelligence (AI) with robotic endoscopy. Its first development, intuBot, presents an all-in-one solution for airway management. It aims to make the life-saving process of endotracheal intubation, used in emergency medicine in particular, much easier and thus save lives. It is based on a collaborative project with ETH Zurich, University Hospital Zurich, and the University of Zurich. Additionally, the startup has been selected to form part of the Switzerland Innovation Park Zürich as well as to join the group of Swiss Venture Leaders Medtech 2022.

Aliens, astronauts, time travel--you name it, there's a dazzling sci-fi film about it. That makes compiling a list of the best sci-fi nearly impossible. It's almost impossible to know where to start--or where to stop. To understand where sci-fi films came from, you need to head back to the dawn of the cinema age. Right at the beginning, Metropolis, released in 1927, used groundbreaking visuals to create a reference point for all future urban dystopias--it's no fluke, for example, that the aesthetic of Blade Runner bears more than a passing resemblance to Fritz Lang's prophetic city hellscape. Then along came War of the Worlds (1953), a gripping tale of alien invasion adapted from H. G. Wells' classic novel. In 1964, Dr. Strangelove did more than most films before or since to ossify the fear of a nuclear holocaust. Below is WIRED's ever-evolving selection of the sci-fi movies everyone should watch, from the obscure to the hugely influential. You may also enjoy our guides to the best sci-fi books of all time and the best space movies. This content can also be viewed on the site it originates from. When Alfonso Cuarón wrote the screenplay for Gravity, he wasn't setting out to make a film about space itself. Rather, he was interested in exploring the concepts of adversity and human resilience, with space as a secondary background. But it was hard for audiences to not be wowed by the visuals in this Oscar-winning film about two scientists (George Clooney and Sandra Bullock) who find themselves stranded in space, and what they must endure in order to get safely back to Earth.

Why do globalists have a deep rooted obsession with Artificial Intelligence (AI)? What is it about the fervent quest for an autonomous digitized brain that sends them into fits of ecstasy? Is it all about what AI can do for them and their agenda, or, is there also a darker "occult" element to the concept that is so appealing? The World Economic Forum, an organization dedicated to the globalist "Great Reset" agenda, the Fourth Industrial Revolution and the "Shared Economy," dedicates a large portion of every annual meeting in Davos, Switzerland to discussion on AI and the expansion of its influence over daily life. The United Nations holds extensive policy sessions on AI and has been spending a considerable amount of energy to establish "ethics rules" for the development and use of Artificial Intelligence.

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