Lifeboat Foundation

OLED panels have been around for quite some time, but now we are starting to see them come to gaming monitors, raising concerns about burn-in issues.

OLED pixel technology has been used in smartphones and TVs for many years now, and with each iteration of the technology, improvements are being made to the quality of the panel, particularly with the reduction of known problems. But now we are starting to see the gaming industry be blessed with gorgeous QD-OLED panels, and the brands behind these new gaming monitors are rolling out features such as MSI’s OLED Care technology to reduce the chances of debilitating issues such as burn-in.

A movie released to critical acclaim has now been met with intense backlash after fans discovered it included AI-generated images.

Written and directed by siblings Cameron and Colin Cairnes, “Late Night With the Devil,” is a horror movie starring David Dastmalchian as a 70s talk show host. Through found footage, it shows a once “lost” live TV broadcast on Halloween, in which the evening’s guest, a young girl, claims to be demonically possessed.

Critics and audiences alike have raved about the movie since it premiered at the SXSW film festival — but that goodwill proved to be short-lived. In a scathing and now viral review shared on Letterboxd, a user called out the movie for having AI “all over” certain sequences, garnering thousands of likes and inciting tons of fiery discourse on other social media platforms.

OpenAI has given a number of directors, production companies, and creative agencies early access to its Sora text-to-video generator — and the results range from astonishing to downright terrifying.

Toronto-based multimedia production company Shy Kids used the next-generation generative AI tool to come up with a whimsical short film about “Air Head,” a man who has a balloon instead of a head.

The short film is an impressive example of the tech’s capabilities, showing off Sora’s striking ability to generate relatively believable and photorealistic video footage in response to a text prompt.

The use of artificial intelligence in the development of video games has been met with both excitement and dread.

According to a recent industry report by game engine developer Unity, studios are already using AI to save time and boost productivity by whipping up assets and code.

But given enough time, the video games of the future could soon be entirely created with the use of AI — maybe even within just ten years, according to Nvidia CEO Jensen Huang, the man behind a company that’s greatly benefitting from selling thousands of graphics processing units (GPUs) to some of the biggest players in the AI industry.

GPU inception, with graphics cores processing AI workloads to generate graphics again.

In the digital age, where entertainment is but a click away, a silent yet powerful transformation is underway. Streaming companies, the vanguards of this digital entertainment era, are not just delivering content; they’re crafting experiences, and artificial intelligence (AI) is their most adept tool. Let us explore how AI is not just changing, but revolutionizing the way we consume media.

Gone are the days of aimlessly browsing channels to find something to watch. AI in streaming services is like a discerning director, understanding and curating content to fit the unique tastes of each viewer. It’s an era where your streaming service knows what you want to watch, sometimes even before you do. The great power of AI is personalization, where organizations can create unique user journeys. At the core of AI’s integration into streaming is personalization. Netflix, the colossus of streaming, employs AI algorithms to recommend movies and shows based on your viewing history. However, generally, these recommendation engines based on historical presences have muted value. Traditional metrics leverage past viewing information or collaborative filtering to make content recommendations. However, customer feedback has shown these are imperfect fits in the age of data for precision product-market fit.

https://entanglion.github.io

Congratulations, your captain has retired and left you in charge of his galactic shipping business! Now it’s time to make some upgrades as you embark on a journey to reconstruct a quantum computer developed by an ancient race.

Entanglion is a cooperative board game designed for two players. Learn about quantum computing as you work together with your teammate to navigate the three galaxies of the quantum universe, avoid detection by the defense mechanisms left behind by the ancients, and rebuild the quantum computer.

Continue reading “Entanglion, a quantum computing board game developed by @IBMQuantum” »

LinkedIn, the Microsoft-owned social platform, has made a name for itself primarily as a platform for people looking to network and pick up knowledge for professional purposes, and for recruitment — a business that now has more 1 billion users. Now, to boost the time people are spending on the platform, the company is breaking into a totally new area: gaming.

TechCrunch has learned and confirmed that LinkedIn is working on a new games experience. It will be doing so by tapping into the same wave of puzzle-mania that helped simple games like Wordle find viral success and millions of players. Three early efforts are games called “Queens”, “Inference” and “Crossclimb.”

App researchers have started to find code that points to the work LinkedIn is doing. One of them, Nima Owji, said that one idea LinkedIn appears to be experimenting with involves player scores being organised by places of work, with companies getting “ranked” by those scores.

Fly, goat, fly! A new AI agent from Google DeepMind can play different games, including ones it has never seen before such as Goat Simulator 3, a fun action game with exaggerated physics. Researchers were able to get it to follow text commands to play seven different games and move around in three different 3D research environments. It’s a step toward more generalized AI that can transfer skills across multiple environments.

Google DeepMind has had huge success developing game-playing AI systems. Its system AlphaGo, which beat top professional player Lee Sedol at the game Go in 2016, was a major milestone that showed the power of deep learning. But unlike earlier game-playing AI systems, which mastered only one game or could only follow single goals or commands, this new agent is able to play a variety of different games, including Valheim and No Man’s Sky. It’s called SIMA, an acronym for “scalable, instructable, multiworld agent.”