SAVE 10: As of April 14, the Amazon Echo Pop is on sale for 29.99. If you're looking for a smart home device that won't take up space or stand out, the Echo Pop is what you've been looking for. The smallest of the Alexa devices, this nifty model boasts all the usual benefits of an Alexa, but without taking up lots of room. And as of April 14, you can buy it on sale, now just 29.99. Choose from charcoal, glacier white, lavender bloom, and midnight teal.

TL;DR: Thoroughly enjoy all that Windows 11 Pro has to offer with this Microsoft Windows 11 Pro and The Essential Windows 11 Pro Course bundle for just 24.99 (reg. Been a while since you updated your operating system? If you've got a PC that could use a refresh, the Microsoft Windows 11 Pro and The Essential Windows 11 Pro Course provides that and more. Get a license for Microsoft Windows 11 Pro and a course to help you master the new features for just 24.99 (reg. Whether you're upgrading from an older version of Windows or setting up a new device, this bundle makes the transition easy.

I've always had an interest in programming, because I've always had an interest in computers. I put together websites in HTML as a teenager (which, yes, were hosted on GeoCities) and have been occasionally dabbling in Python since. Yet none of my projects got very far and, apart from my early websites, I never made anything useful. My efforts all followed a familiar pattern: I'd fixate on a particular resource--like an O'Reilly book or an online course--and get started with great enthusiasm, but as I'd realize I was months or years away from creating anything remotely useful, I'd give up. That changed in late 2024 when my general frustration with WordPress, which I was using for my personal website, got the better of me. In a fit, I threw my website's content plus a screenshot of it into Claude 3.5 Sonnet and asked the AI to replicate my site with HTML, CSS, and JavaScript.

While President Donald Trump has revealed a tariff exemption for some electronics, video game consoles are not thought to be among them. Christopher Dring, who writes about the gaming industry in The Game Business newsletter, said while Sony did not directly mention tariffs in its decision, their "knock-on effect" could have an impact on pricing worldwide. "The US is the biggest market for video game consoles, and rather than simply increase prices there, it's possible the likes of PlayStation could increase pricing globally in an effort to protect, as best they can, the US market," he told the BBC. "Ultimately, the era when game consoles went down in price over time is certainly over." The price increase comes as Nintendo's launch of its rival Switch 2 console was marred by the impact of US tariffs on markets worldwide.

Kawasaki's CORLEO is a hydrogen-powered, AI-driven rideable robot. Kawasaki Heavy Industries has introduced something that feels straight out of a video game: CORLEO, a hydrogen-powered, four-legged robot prototype designed to be ridden by humans. Unveiled at the Osaka-Kansai Expo 2025, this futuristic machine is built to handle rugged terrain with ease, combining cutting-edge robotics and sustainable energy. Let's take a closer look at what makes CORLEO so cutting-edge. GET SECURITY ALERTS & EXPERT TECH TIPS – SIGN UP FOR KURT'S'THE CYBERGUY REPORT' NOW Instead of wheels, it has four robotic legs that move independently, allowing it to handle uneven ground like rocks, grass and steep inclines.

In the early hours of April 12, 1812, a crowd of men approached Rawfolds Mill, a four-story stone building on the banks of the River Spen, in West Yorkshire. This was Brontë country--a landscape of bleak moors, steep valleys, and small towns nestled in the hollows. The men, who'd assembled on the moors hours earlier, were armed with muskets, sticks, hatchets, and heavy blacksmith's hammers. When they reached the mill, those at the front broke windows to gain entry, and some fired shots into the darkened factory. But the mill's owner, William Cartwright, had been preparing for trouble.

This story was originally published by WIRED and is reproduced here as part of the Climate Desk collaboration. Last Tuesday, President Donald Trump held a press conference to announce the signing of executive orders intended to shape American energy policy in favor of one particular source: coal, the most carbon-intense fossil fuel. "I call it beautiful, clean coal," President Trump said while flanked by a crowd of miners at the White House. "I tell my people never use the word coal unless you put'beautiful, clean' before it." Trump has talked about saving coal, and coal jobs, for as long as he's been in politics.

PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding models. What comes next after protein folding? In PLAID, we develop a method that learns to sample from the latent space of protein folding models to generate new proteins. It can accept compositional function and organism prompts, and can be trained on sequence databases, which are 2-4 orders of magnitude larger than structure databases. Unlike many previous protein structure generative models, PLAID addresses the multimodal co-generation problem setting: simultaneously generating both discrete sequence and continuous all-atom structural coordinates.

At least 34 people were killed and another 117, including 11 children, were injured by a Russian missile attack on the northern Ukrainian city of Sumy, Ukraine's state emergency service said. This was the deadliest attack on Ukraine this year. The Ukrainian Air Force said its units intercepted and destroyed 43 of 55 Russian drones launched at Ukraine overnight. The attacks reportedly targeted the northern, southern and central areas of Ukraine. Russian forces captured the village of Yelyzavetivka in Ukraine's Donetsk region, Russia's Ministry of Defence said.

This paper introduces a sensor steering methodology based on deep reinforcement learning to enhance the predictive accuracy and decision support capabilities of digital twins by optimising the data acquisition process. Traditional sensor placement techniques are often constrained by one-off optimisation strategies, which limit their applicability for online applications requiring continuous informative data assimilation. The proposed approach addresses this limitation by offering an adaptive framework for sensor placement within the digital twin paradigm. The sensor placement problem is formulated as a Markov decision process, enabling the training and deployment of an agent capable of dynamically repositioning sensors in response to the evolving conditions of the physical structure as represented by the digital twin. This ensures that the digital twin maintains a highly representative and reliable connection to its physical counterpart. The proposed framework is validated through a series of comprehensive case studies involving a cantilever plate structure subjected to diverse conditions, including healthy and damaged conditions. The results demonstrate the capability of the deep reinforcement learning agent to adaptively reposition sensors improving the quality of data acquisition and hence enhancing the overall accuracy of digital twins.