This premium gaming handheld loads up with features for power users, but Windows still holds it back from being the easy option. Performance is better than previous-generation handhelds. Detachable controllers are comfortable and improve usability. Windows on a handheld is still frustrating. Many companies have tried and failed to produce gaming handhelds that run Windows, and it's not hard to see the appeal.

Accurately quantifying the increased risks of climate extremes requires generating large ensembles of climate realization across a wide range of emissions scenarios, which is computationally challenging for conventional Earth System Models. We propose GEN2, a generative prediction-correction framework for an efficient and accurate forecast of the extreme event statistics. The prediction step is constructed as a conditional Gaussian emulator, followed by a non-Gaussian machine-learning (ML) correction step. The ML model is trained on pairs of the reference data and the emulated fields nudged towards the reference, to ensure the training is robust to chaos. We first validate the accuracy of our model on historical ERA5 data and then demonstrate the extrapolation capabilities on various future climate change scenarios. When trained on a single realization of one warming scenario, our model accurately predicts the statistics of extreme events in different scenarios, successfully extrapolating beyond the distribution of training data.

Generative language models hallucinate. That is, at times, they generate factually flawed responses. These inaccuracies are particularly insidious because the responses are fluent and well-articulated. We focus on the task of Grounded Answer Generation (part of Generative IR), which aims to produce direct answers to a user's question based on results retrieved from a search engine. We address hallucination by adapting an existing genetic generation approach with a new 'balanced fitness function' consisting of a cross-encoder model for relevance and an n-gram overlap metric to promote grounding. Our balanced fitness function approach quadruples the grounded answer generation accuracy while maintaining high relevance.

Qualcomm just revealed its new budget-friendly mobile chipset, Snapdragon 4 Gen 2. This refresh brings plenty of improvements that will kick lower-tier smartphones up a notch. The platform is designed for excellent battery life, with the company promising "all-day use." Qualcomm also promises fast CPU speeds, 5G connectivity and the potential for upgraded visuals via integrated cameras. The chips feature the proprietary Qualcomm Kryo CPU, with peak speeds up to 2.2 GHz, which is a slight increase over the previous generation. Qualcomm's latest and greatest also boasts quick-charging technology, with the company stating that you get a 50 percent charge in just 15 minutes at the plug.

Artificial intelligence has made remarkable progress with still images. For months, services like Dall-E and Stable Diffusion have been creating beautiful, arresting and sometimes unsettling pictures. Now, a startup called Runway AI Inc. is taking the next step: AI-generated video. On Monday, New York-based Runway announced the availability of its Gen 2 system, which generates short snippets of video from a few words of user prompts. Users can type in a description of what they want to see, for example: "a cat walking in the rain," and it will generate a roughly 3-second video clip showing just that, or something close.

Runway has shouldered aside Midjourney and Stable Diffusion, introducing the first clips of text-to-video AI art that the company says is completely generated by a text prompt. The company said that it's offering a waitlist to join what it calls "Gen 2" of text-to-video AI, after offering a similar waitlist for its first, simpler text-to-video tools that use a real-world scene as a model. When AI art emerged last year, it used a text-to-image model. A user would input a text prompt describing the scene, and the tool would attempt to create an image using what it knew of real-world "seeds," artistic styles and so forth. Services like Midjourney perform these tasks on a cloud server, while Stable Diffusion and Stable Horde take advantage of similar AI models running on home PCs.

Qualcomm has unveiled its latest chipset that will power a wealth of mid-range phones starting later this month. Redmi and Realme are among the brands that will use the Snapdragon 7 Gen 2 chipset. As you might expect, the chipset isn't quite as powerful as the Snapdragon 8 Gen 2, but it appears to offer a notable upgrade over the Snapdragon 7 Gen 1. Qualcomm says the CPU will deliver a performance improvement of over 50 percent, with speeds of up to 2.91GHz. The company claims the Snapdragon 7 Gen 2 will offer improvements in GPU performance (by two times) and power efficiency (by 13 percent) as well. Moreover, Qualcomm says that "on-device AI is integrated across the entire platform."

Chips are to computing what neurons are to our body: basic functional units whose main task is to receive, process and transmit information. Their development determines if applications can become more sophisticated, handle artificial intelligence, process increasing amounts of data and reproduce clearer, more realistic images and sounds. Each advance in these integrated circuits drives the rest of the industry to develop new capabilities for smartphones, cars, household appliances, computers and more. This month Qualcomm unveiled its newest chipset, the Snapdragon 8 Gen 2, designed to use artificial intelligence, increase performance fourfold and reduce energy consumption by up to 60%. These are the three basic fields that are also being developed by other companies such as Intel, Samsung, Taiwan Semiconductor Manufacturing (TSMC) and Apple – which in June began to develop its own family of chips for the Mac, the M2. Here are some of the developments brought by Qualcomm's latest advances: Cristiano Amon, president of Qualcomm, believes that the next five years will be oriented towards technological convergence: providing other devices with smartphone capabilities while giving phones some of the benefits of computers and consoles.

If companies are going to make augmented reality glasses you'd actually want to wear, they'll need chips that are powerful but won't require a large battery on your head. Qualcomm thinks it can help. The company has unveiled a Snapdragon AR2 Gen 1 platform that's built with slim AR glasses in mind. The multi-chip design reportedly delivers 2.5 times the AI performance of the company's XR2-based reference design while using half the power. You could have eyewear that intelligently detects objects in the room while remaining slim and light enough to use for hours at a time.

Qualcomm launched its latest Snapdragon processor on Tuesday for the next crop of top-tier Android smartphones--with artificial intelligence infused throughout the chip to boost photography, sound, connectivity, gaming and security. At its Snapdragon Summit event in Hawaii, Qualcomm made artificial intelligence the centerpiece of its marketing pitch for its new Snapdragon 8 Gen 2 as it strives to build the Snapdragon name into a globally recognized brand. Artificial intelligence generally refers to computer systems that can simulate human intelligence to a certain extent. It is among the hottest fields in technology today. Qualcomm has long worked on artificial intelligence and machine learning, but mostly behind the scenes.