Radiometers are crucial instruments in radio astronomy, forming the primary component of nearly all radio telescopes. They measure the intensity of electromagnetic radiation, converting this radiation into electrical signals. A radiometer's primary components are an antenna and a Low Noise Amplifier (LNA), which is the core of the ``receiver'' chain. Instrumental effects introduced by the receiver are typically corrected or removed during calibration. However, impedance mismatches between the antenna and receiver can introduce unwanted signal reflections and distortions. Traditional calibration methods, such as Dicke switching, alternate the receiver input between the antenna and a well-characterised reference source to mitigate errors by comparison. Recent advances in Machine Learning (ML) offer promising alternatives. Neural networks, which are trained using known signal sources, provide a powerful means to model and calibrate complex systems where traditional analytical approaches struggle. These methods are especially relevant for detecting the faint sky-averaged 21-cm signal from atomic hydrogen at high redshifts. This is one of the main challenges in observational Cosmology today. Here, for the first time, we introduce and test a machine learning-based calibration framework capable of achieving the precision required for radiometric experiments aiming to detect the 21-cm line.

In this paper, we propose Robo-SGG, a plug-and-play module for robust scene graph generation (SGG). Unlike standard SGG, the robust scene graph generation aims to perform inference on a diverse range of corrupted images, with the core challenge being the domain shift between the clean and corrupted images. Existing SGG methods suffer from degraded performance due to shifted visual features (e.g., corruption interference or occlusions). To obtain robust visual features, we leverage layout information, representing the global structure of an image, which is robust to domain shift, to enhance the robustness of SGG methods under corruption. Specifically, we employ Instance Normalization (IN) to alleviate the domain-specific variations and recover the robust structural features (i.e., the positional and semantic relationships among objects) by the proposed Layout-Oriented Restitution. Furthermore, under corrupted images, we introduce a Layout-Embedded Encoder (LEE) that adaptively fuses layout and visual features via a gating mechanism, enhancing the robustness of positional and semantic representations for objects and predicates. Note that our proposed Robo-SGG module is designed as a plug-and-play component, which can be easily integrated into any baseline SGG model. Extensive experiments demonstrate that by integrating the state-of-the-art method into our proposed Robo-SGG, we achieve relative improvements of 6.3%, 11.1%, and 8.0% in mR@50 for PredCls, SGCls, and SGDet tasks on the VG-C benchmark, respectively, and achieve new state-of-the-art performance in the corruption scene graph generation benchmark (VG-C and GQA-C). We will release our source code and model.

By rolling back auto industry fuel efficiency goals, US president Donald Trump hopes to make new cars cheaper. But prices won't drop for years, and consumers will spend more on gas in the meantime. The Trump administration says its proposal to roll back vehicle fuel economy standards, announced officially in the Oval Office on Wednesday, is an attempt to shave dollars off the ballooning cost of new cars in the US. But the intended price drops likely won't show up on dealership lots and showroom floors for months if not years, given the length of automakers' product planning schedule. It would also likely force Americans to pay more, long-term, at another place they tend to visit more frequently: the pump.

Can AI Look at Your Retina and Diagnose Alzheimer's? The author of believes AI could bring big changes to the world of medicine. For decades now, it's been fairly well established that once you turn 40 you should start paying more attention to your body. That's when women are supposed to start getting mammograms and men are supposed to start paying a bit more attention to their prostates. Over the next decade, you'll start getting colonoscopies, and from then on out, it feels like a gradual march of doctor's appointments and tests until your body collapses sometime in your seventies or eighties.

The Industry Trump Gave the Tech Bros Everything. Why Are They Still Crashing Out? This was supposed to be their year--but a historically unpopular president and fears of an A.I. stock market crash loom large over Silicon Valley. Enter your email to receive alerts for this author. You can manage your newsletter subscriptions at any time.

Cloudflare CEO Matthew Prince claims the internet infrastructure company's efforts to block AI crawlers are already seeing big results. As the large language models powering generative AI tools slurp up ever more data across the web, Cloudflare cofounder and CEO Matthew Prince said at WIRED's Big Interview event in San Francisco on Thursday that the internet infrastructure company has blocked more than 400 billion AI bot requests for its customers since July 1. The action comes after the company announced a Content Independence Day in July--an initiative with prominent publishers and AI firms to block AI crawlers by default on content creators' work unless the AI companies pay for access. Since July 2024, Cloudflare has offered customers tools to block AI bots from scraping their content. Cloudflare told WIRED that the number of AI bots blocked since July 1, 2025 is 416 billion.

The "Kill Them All" Edition US officials debate who to blame for the military killing of shipwrecked alleged drug smugglers; Democrats celebrate despite losing a special election in Tennessee; and the future of self-driving cars. Please enable javascript to get your Slate Plus feeds. If you can't access your feeds, please contact customer support. Check your phone for a link to finish setting up your feed. Please enter a valid phone number.

Sam Kirchner wants to save the world from artificial superintelligence. He's been missing for two weeks. B efore Sam Kirchner vanished, before the San Francisco Police Department began to warn that he could be armed and dangerous, before OpenAI locked down its offices over the potential threat, those who encountered him saw him as an ordinary, if ardent, activist. Phoebe Thomas Sorgen met Kirchner a few months ago at Travis Air Force Base, northeast of San Francisco, at a protest against immigration policy and U.S. military aid to Israel. Sorgen, a longtime activist whose first protests were against the Vietnam War, was going to block an entrance to the base with six other older women. Kirchner, 27 years old, was there with a couple of other members of a new group called Stop AI, and they all agreed to go along to record video on their phones in case of a confrontation with the police.

Anthropic's Daniela Amodei Believes the Market Will Reward Safe AI The Trump administration might think regulation is killing the AI industry, but Anthropic president Daniela Amodei disagrees. The Trump administration may think regulation is crippling the AI industry, but one of the industry's biggest players doesn't agree. At WIRED's Big Interview event on Thursday, Anthropic president and cofounder Daniela Amodei told WIRED editor at large Steven Levy that even though Trump's AI and crypto czar, David Sacks, may have tweeted that her company is "running a sophisticated regulatory capture strategy based on fear-mongering," she's convinced her company's commitment to calling out the potential dangers of AI is making the industry stronger. WIRED's iconic series returned to San Francisco with a series of unforgettable, in-depth live conversations. Check out more highlights here .

What is Cartel de los Soles? Does'America First' make the US weaker? Who is Marjorie Taylor Greene? A bipartisan group of United States senators, including prominent Republican China hawk Tom Cotton, has unveiled a bill that would block the administration of President Donald Trump from loosening rules restricting Beijing's access to artificial intelligence chips for 2.5 years. The bill, unveiled on Thursday, is known as the SAFE CHIPS Act and was filed by Republican Senator Pete Ricketts and Democrat Chris Coons.