Lifeboat Foundation

1920s Startrek TOS Series

Let’s imagine what current movies/series would be like in 1920…//

The current media environment is filled with visual effects and video editing. As a result, as video-centric platforms have gained popularity, demand for more user-friendly and effective video editing tools has skyrocketed. However, because video data is temporal, editing in the format is still difficult and time-consuming. Modern machine learning models have shown considerable promise in enhancing editing, although techniques frequently compromise spatial detail and temporal consistency. The emergence of potent diffusion models trained on huge datasets recently caused a sharp increase in the quality and popularity of generative techniques for picture synthesis. Simple users may produce detailed pictures using text-conditioned models like DALL-E 2 and Stable Diffusion with only a text prompt as input. Latent diffusion models effectively synthesize pictures in a perceptually constrained environment. They research generative models suitable for interactive applications in video editing due to the development of diffusion models in picture synthesis. Current techniques either propagate adjustments using methodologies that calculate direct correspondences or, by finetuning on each unique video, re-pose existing picture models.

They try to avoid costly per-movie training and correspondence calculations for quick inference for every video. They suggest a content-aware video diffusion model with a configurable structure trained on a sizable dataset of paired text-image data and uncaptioned movies. They use monocular depth estimations to represent structure and pre-trained neural networks to anticipate embeddings to represent content. Their method gives several potent controls on the creative process. They first train their model, much like image synthesis models, so the inferred films’ content, such as their look or style, correspond to user-provided pictures or text cues (Fig. 1).

Figure 1: Video Synthesis With Guidance We introduce a method based on latent video diffusion models that synthesises videos (top and bottom) directed by text-or image-described content while preserving the original video’s structure (middle).

There’s a lot about ecology in frank Herbert’s dune saga and eco mysticism as well.

I will never make any money from Youtube and that is perfectly correct!
I will always get this message: “Your video is ineligible for monetization due to a copyright claim.“
And: “Ad revenue paid to copyright owner”

Continue reading “Iron Maiden — To tame a land (Lyrics included)” »

Annotation and analysis of sports videos is a time-consuming task that, once automated, will provide benefits to coaches, players, and spectators. American football, as the most watched sport in the United States, could especially benefit from this automation. Manual annotation and analysis of recorded videos of American football games is an inefficient and tedious process. Currently, most college football programs focus on annotating offensive formations to help them develop game plans for their upcoming games. As a first step to further research for this unique application, we use computer vision and deep learning to analyze an overhead image of a football play immediately before the play begins. This analysis consists of locating individual football players and labeling their position or roles, as well as identifying the formation of the offensive team.

Deepfake technology has been around for some time, and it’s currently causing controversies for the potential threats it may bring when fallen into the wrong hands. Even India’s business tycoon Anand Mahindra sparked alarm over hyper-realistic synthetic videos.

But some personalities are redefining the way viewers perceive deepfakes. For instance, David Guetta recently synthesized Eminem’s voice to hype up an event. And it’s only one of the many examples of people using artificial intelligence (AI) for entertainment. In fact, it already came to different social media websites like Twitch that take streaming to the next level.

Bachir Boumaaza is a Youtuber who once made a name for his record-breaking games, which he used to help numerous charities. But he became inactive, with most of his fans wondering where he went, thinking it might’ve been the end of his career.

https://youtube.com/watch?v=LT6oj2dYS7Q

The Twilight Zone — Season One, Episode Fourteen — Third from the Sun, with Fritz Weaver, Joe Moross, Edward Andrews, Lori March, Denise Alexander, and Jeanne Evans.

Video and additional content added.

Is there any strategy or alliance too complex for its ruthless intelligence? Meta AI made a groundbreaking announcement with the launch of CICERO — the first-ever AI (artificial intelligence) capable of winning at Diplomacy, a multiplayer strategy game that calls for mutual trust, compromise, and teamwork. This marks a significant milestone in AI evolution.

South Korean Go champion Lee Se-dol has retired after being beat by DeepMind’s AlphaGo software. He told Yonhap news agency his decision was influenced by the fact that artificial intelligence (AI) “cannot be defeated.”

An entity that cannot be defeated

Continue reading “Former Go Champion Loses to DeepMind, Quits Because AI ‘Cannot Be Defeated’” »

Is there any strategy or alliance too complex for its ruthless intelligence?

Meta AI made a groundbreaking announcement with the launch of CICERO — the first-ever AI (artificial intelligence) capable of winning at Diplomacy, a multiplayer strategy game that calls for mutual trust, compromise, and teamwork. This marks a significant milestone in AI evolution.

“CICERO moves AI from the gaming table into real-world applications.”

Continue reading “Meta’s AI just became the first to outwit human players in Diplomacy” »

Someday soon, we’ll speak entire universes into existence.

This article is a guide to the companies building the generative artificial intelligence technology that will lead to these virtual worlds (games, simulations, metaverse applications).

Continue reading “Market Map: Generative AI for Virtual Worlds” »