Technology use often goes wrong, Parsons notes, "because we're too focused on either our own ideas of what good looks like or on one particular audience as opposed to a broader audience." That may look like an app developer building only for an imagined customer who shares his geography, education, and affluence, or a product team that doesn't consider what damage a malicious actor could wreak in their ecosystem. "We think people are going to use my product the way I intend them to use my product, to solve the problem I intend for them to solve in the way I intend for them to solve it," says Parsons. "But that's not what happens when things get out in the real world." AI, of course, poses some distinct social and ethical challenges. Some of the technology's unique challenges are inherent in the way that AI works: its statistical rather than deterministic nature, its identification and perpetuation of patterns from past data (thus reinforcing existing biases), and its lack of awareness about what it doesn't know (resulting in hallucinations).

Chatbots are conversational software applications designed to interact dialectically with users for a plethora of different purposes. Surprisingly, these colloquial agents have only recently been coupled with computational models of arguments (i.e. computational argumentation), whose aim is to formalise, in a machine-readable format, the ordinary exchange of information that characterises human communications. Chatbots may employ argumentation with different degrees and in a variety of manners. The present survey sifts through the literature to review papers concerning this kind of argumentation-based bot, drawing conclusions about the benefits and drawbacks that this approach entails in comparison with standard chatbots, while also envisaging possible future development and integration with the Transformer-based architecture and state-of-the-art Large Language models.

Bungie, the Sony-owned game studio behind Destiny 2, let go of an undisclosed number of staffers, part of a wider restructuring of the Japanese giant's video-game operation. "Today is a sad day at Bungie as we say goodbye to colleagues who have all made a significant impact on our studio," Bungie Chief Executive Officer Pete Parsons wrote on X, formerly known as Twitter. Bungie recently delayed an upcoming Destiny 2 expansion, The Final Shape, until June from February, pushing it out of Sony Group's current fiscal year, according to people familiar with the matter who asked not to be identified because they weren't authorized to speak publicly. Bungie's next game, Marathon, slipped to 2025. Sony, which purchased Bungie in early 2022 for $3.6 billion, has been cutting staff across its PlayStation division this year, in part due to delays.

The eruption of Mount Vesuvius in AD79 laid waste to Pompeii and nearby Herculaneum where the intense blast of hot gas carbonised hundreds of ancient scrolls in the library of an enormous luxury villa. Now, researchers are launching a global contest to read the charred papyri after demonstrating that an artificial intelligence programme can extract letters and symbols from high-resolution X-ray images of the fragile, unrolled documents. Scientists led by Prof Brent Seales, a computer scientist at the University of Kentucky, were able to read the ink on surface and hidden layers of scrolls by training a machine-learning algorithm to spot subtle differences in the papyrus structure captured by the X-ray images. "We've shown how to read the ink of Herculaneum. That gives us the opportunity to reveal 50, 70, maybe 80% of the entire collection," said Seales.

It's the go-to dating app for many people looking for love, and now Hinge has introduced a new feature called'Relationship Type.' The tool allows users to specify the type of commitment they're looking for, whether it's monogamous or polyamorous. Michelle Parsons, Chief Product Officer at Hinge, said: 'With the launch of Relationship Type, we are empowering users to openly share what kind of relationship they are looking for, and as a result, have a new way to know if someone's dating goals match theirs from the moment they look at their profile.' It's the go-to dating app for many people looking for love, and now Hinge has introduced a new feature called'Relationship Type' The tool allows users to specify the type of commitment they're looking for, whether it's monogamous or polyamorous Most singletons want monogamous relationships, in which they only have one partner. However, research has shown that about five per cent of relationships are openly non-monogamous, or polyamorous.

Great (or terrifying) moments in deepfake history: The argument about whether a video of President Joe Biden talking to reporters on the South Lawn of the White House was real (it was). The Dutch, British and Latvian MPs convinced their Zoom conference with the chief of staff of the Russian opposition leader Alexei Navalny was a deepfake. A special effects expert who made their friend look exactly like Tom Cruise for a TikTok video ironically designed to alert people to the dangers of fake footage. Product placement being digitally added to old videos and movies, and Anthony Bourdain's recreated voice speaking in a documentary. A mother creating fake videos of the other members of her daughter's cheerleading squad behaving badly in an attempt to get them kicked off the team.

The battle for HPC centers and national labs is underway among the leading AI chip startups in the high-end datacenter space (Graphcore, Cerebras, and SambaNova in particular). We talked last week about how Graphcore is stacking up in traditional supercomputing spaces at the University of Bristol, SambaNova has found inroads at Argonne and Lawrence Livermore (LLNL) labs in the U.S., and Cerebras has also become established at LLNL. In addition to those recent wins, Cerebras has crossed the Atlantic for its first European win at EPCC in Edinburgh. Despite this tit-for-tat in HPC site wins among the AI chip triumvirate, the jury is still out on what the favored architecture will be to meet the needs of deep learning in supercomputing. There are enough systems distributed around the globe now, however, that within a year we might start to have a sense, especially since EPCC will be evaluating the Cerebras experiments to its neighbors with Graphcore.

At the outset of World War II, you'd have a better chance of finding a needle in a haystack with a camel stuck in its eye than you did shooting down an enemy aircraft in your first dozen or so shots. This is because anti-aircraft shells at the time used manual fuses that had to be dialed in for specific lengths of time to delay their explosion. The idea was that you'd estimate where the targeted plane would be in, say five seconds, based on its currently flight path, then time the shell for that length, fire the shell at the plane and hope that the timing and location were close enough that shrapnel from the exploding shell hits the plane. If your calculations were off by even a hair, the shell would miss by thousands of feet. And if shooting down piloted aircraft was this hard, intercepting Germany's terrifyingly fast V1 and V2 rockets required far more luck than skill. But that's exactly what the team at Section T set out to do.

A logo of IBM (International Business Machines Corporation) sits on their offices at Yeouido, the ... [ ] financial district on October 13, 2020 in Seoul, South Korea. Every day, there is a batch of AI announcements that are sent out--and many of them are mostly fluff. But of course, some are worth paying attention to. For example, consider one from IBM and ServiceNow, which have announced an expansion of a strategic relationship. For the most part, it is focused on what matters--that is, driving measurable results that scale across organizations.

Parsons Corporation was awarded the SharkSeer 2.0 task order under the Defense Information Systems Agency's (DISA) Systems Engineering, Technology, and Innovation (SETI) contract. The firm-fixed price contract includes one base year and four option years, which, if exercised, will provide for a total potential value of $28 million. According to contracting officials, SharkSeer 2.0 is a new requirement for DISA and will aim to enhance the program's original operational capability with revamped architecture and new task requirements. The effort is intended to support an enterprise boundary defense system that uses artificial intelligence to identify and mitigate zero-day cyber attacks and advanced persistent threats to protect Department of Defense (DoD) networks. The company claims that Parsons scope for the base year and the options years, if exercised, will include migration, integration, testing, operations and maintenance, streamlining, optimization, enhancement, and simplification of all SharkSeer functionalities across seven operational boundaries.