The DARPA AIR initiative seeks to fill gaps in research on developing and deploying tactical autonomy capability in real-world military …

Technology or A.I. is going to disrupt the overall education market. There are many use cases of A.I. to make learning accessible, derive better efficiencies, or even get better outcomes for learners. Its well known that teachers spend more than 50% of their time on evaluating homework, filing paperwork, grading tests, making progress reports, organizing materials and resources for classes, managing teaching materials, etc.

Konami today dropped a ton of news about the future of its iconic horror franchise. Aside from confirming that remake of Silent Hill 2, the studio revealed three new games. Townfall comes from Annapurna Interactive and No Code, a Glasgow studio known for strong narrative titles like Observation and Stories Untold. The short teaser for Townfall looks to be the most traditional Silent Hill game of the trio. Ascension, due out in 2023, is the least game-like installment, but it will feature the influence of J.J. Abrams.

Robots are a common factor in many sci-fi movies, as they've always seemed like something a futuristic society would have. Of course, as society progresses, there are some real life robots now, maybe even within your own home. While we may have numerous examples of artificial intelligence nowadays, one thing we still haven't discovered (for better or worse) is making these robots actually sentient, something we still only see in fiction. While this topic remains fictional, there are many movies who like to play with the idea of robots coming to life and gaining their own sentience. There are many different ways to play with the subject too.

Orgaimi Inc., which makes a client intelligence platform powered by artificial intelligence, said Wednesday that it had hired a former Hogan Lovells head of innovation and digital to be a market evangelist.

In the world of Frank Herbert's Dune, the "Butlerian Jihad" led to the destruction of "thinking machines" across the known universe, and the birth of a civilisation that focused on enhancing human intellect. In the online community on the subreddit of r/Dune, the birth of AI art has led to a similar, albeit smaller, war on technology. There, users who number almost a quarter of a million fans of the novel series, as well as its two film adaptations, moved to ban AI-generated art this week, after a wave of automatically generated content flooded the boards. The ban "applies to images created using services such as DALL-E, Midjourney, StarryAI, WOMBO Dream, and others," the moderators wrote in a post announcing the decision. "Our team has been removing said content for a number of months on a post-by-post basis, but given its continued popularity across Reddit we felt that a public announcement was justified. "We acknowledge that many of these pieces are neat to look at, and the technology sure is fascinating, but it does technically qualify as low-effort content – especially when compared to original, 'human-made' art, which we would like to prioritize going forward." In the Dune series, the destruction of thinking machines led to the rise of the "navigators", humans specifically bred and raised to perform the complex calculations required for interstellar travel. In the r/Dune community, the ban has led to similar proposals. "We just need to do some freaky genetics that create an animal whose sole purpose and feature is to make Dune fan art," one user proposed. The growth of AI-generated art has caused disruption other communities as well. In August, a painting created by the AI tool Midjourney, titled Théâtre D'opéra Spatial, took first prize in the digital art category at the Colorado State Fair. In a post announcing the victory, Midjourney user Jason Allen said: "I have created hundreds of images using it, and after many weeks of fine tuning and curating my [generations], I chose my top 3 and had them printed on canvas after upscaling with Gigapixel AI … I set out to make a statement using Midjourney in a competitive manner and wow!" In a follow-up interview with Vice Magazine, Allen defended his decision to enter without explicitly labelling the artwork as AI generated. "What if we looked at it from the other extreme, what if an artist made a wildly difficult and complicated series of restraints in order to create a piece, say, they made their art while hanging upside-down and being whipped while painting," he said. "Should this artist's work be evaluated differently than another artist that created the same piece'normally'?

It's not everyday that you meet three tech founders trying to make a break into the glitz of entertainment. "Being fans does not give us a rite of passage," says Ritesh, followed by a hearty laugh. This was in response to how three founders with no background in the entertainment industry decided to set up a fan engagement platform. It was this love for all things movies that took them to build Fangage Labs. Now, it wants to change the way fans interact with celebrities through its brand Wow Talkies . In order to make Wow Talkies work, it was important to move away from what exists.

Technology or A.I. is going to disrupt the overall education market. There are many use cases of A.I. to make learning accessible, derive better efficiencies, or even get better outcomes for learners. Its well known that teachers spend more than 50% of their time on evaluating homework, filing paperwork, grading tests, making progress reports, organizing materials and resources for classes, managing teaching materials, etc.

Considerable efforts to measure and mitigate gender bias in recent years have led to the introduction of an abundance of tasks, datasets, and metrics used in this vein. In this position paper, we assess the current paradigm of gender bias evaluation and identify several flaws in it. First, we highlight the importance of extrinsic bias metrics that measure how a model's performance on some task is affected by gender, as opposed to intrinsic evaluations of model representations, which are less strongly connected to specific harms to people interacting with systems. We find that only a few extrinsic metrics are measured in most studies, although more can be measured. Second, we find that datasets and metrics are often coupled, and discuss how their coupling hinders the ability to obtain reliable conclusions, and how one may decouple them. We then investigate how the choice of the dataset and its composition, as well as the choice of the metric, affect bias measurement, finding significant variations across each of them. Finally, we propose several guidelines for more reliable gender bias evaluation.

Recent work on question generation has largely focused on factoid questions such as who, what, where, when about basic facts. Generating open-ended why, how, what, etc. questions that require long-form answers have proven more difficult. To facilitate the generation of open-ended questions, we propose CONSISTENT, a new end-to-end system for generating open-ended questions that are answerable from and faithful to the input text. Using news articles as a trustworthy foundation for experimentation, we demonstrate our model's strength over several baselines using both automatic and human=based evaluations. We contribute an evaluation dataset of expert-generated open-ended questions.We discuss potential downstream applications for news media organizations.