The space data-center wars are coming--and they're going to be ugly. Earlier this month, Google researchers released a paper about "Project Suncatcher," the company's research "moonshot" to build data centers in space. The paper's authors don't mince words when it comes to the challenges the tech giant is facing from A.I.'s energy demands, and their planned solution is to launch "fleets of satellites" into space and harvest energy from the sun. Google's space-based data centers won't be gigantic monolithic buildings like the data centers we have on Earth, but a "constellation of solar-powered satellites" carrying tensor processing units (the processors used to power Google's A.I. systems). The paper boasts that the company's data center fleet "will be significantly larger than any previous or current satellite constellations" in orbit.

Having your favourite TV show or movie interrupted by adverts is already frustrating, but things could soon be getting worse for Netflix users. At its'Upfront' event on Wednesday, the streaming giant revealed that it would be incorporating adverts made with'generative AI'. Arriving in 2026, these AI-generated adverts will begin to appear not only during mid-content breaks but also when users press pause. And the only way to get rid of these annoying intrusions will be to pay for the more expensive ad-free subscriptions. But in a further twist, Netflix says AI would be used'instantly marry advertisers' ads with the worlds of our shows'.

Ever since ChatGPT was released to the public in November 2022, people have been using it to generate text, from emails to blog posts to bad poetry, much of which they post online. Since that release, the companies that build the large language models (LLMs) on which such chatbots are based--such as OpenAI's GPT 3.5, the technology underlying ChatGPT--have also continued to put out newer versions of their models, training them with new text data, some of which they scraped off the Web. That means, inevitably, that some of the training data used to create LLMs did not come from humans, but from the LLMs themselves. That has led computer scientists to worry about a phenomenon they call model collapse. Basically, model collapse happens when the training data no longer matches real-world data, leading the new LLM to produce gibberish, in a 21st-century version of the classic computer aphorism "garbage in, garbage out."

If scientists had a time machine, having a conversation with a Brit from even just 250 years ago could be very confusing. Although they'd be speaking the same language as us, the meaning of many English words have dramatically changed. In fact, the mention of things like'fudge', 'meat', 'pink', 'stripe', 'flirt' and'artificial' in a certain context could send our 18th century ancestors into a muddle. Lynne Cahill, a linguistics professor at the University of Sussex, said some words change their meanings and others don't because'there are lots of things going on'. 'As our lives change, we need words for different things, so some meanings go out of use (think of different types of horse-drawn carriage) and new ones come in (think of technology, like mobile phones and computers),' she told MailOnline. 'Languages deal with these things in different ways, sometimes using existing words with related meanings to refer to new things.' MailOnline has scoured the historical records and dictionaries to find more than 40 words that once had a very different definition.

Robots can identify recyclable materials by recognizing patterns in colors, textures, shapes and logos. Ever wondered what happens to the recyclables you carefully sort and place in your bin? For years, recycling has been a crucial part of our efforts to reduce waste and protect the environment. However, the recycling industry has faced significant challenges, from rising costs to labor shortages. But what if technology could transform this process, making recycling faster, more efficient and actually effective?

SELLAS Life Sciences CEO Angelos Stergiou joined'Fox & Friends' to discuss how artificial intelligence has positively impacted medicine as his company works to develop a vaccine for leukemia. SELLAS Life Sciences CEO Angelos Stergiou says his company is already on the cusp of a finalized leukemia vaccine, but another game-changer – personalized cancer vaccines – could be on the horizon, thanks to artificial intelligence. "I think it's going to be a revolutionary decade in medicine and in clinical research," he said Thursday on "Fox & Friends." "Where AI comes into play is where it's going to allow us to do things expeditiously, and it's going to be more personalized. In other words, if you have a patient with a cancer, we can then use AI to do a genomic sequencing and, with the results, we can then either create a specific vaccine or treatment, or we can say this specific treatment will work for the patient."

In recent years, enormous progress has been made in the field of large language models (LLMs). Based on neural network architectures, specifically transformer models, they have proven highly effective in natural language processing (NLP). The models are designed to understand, generate, and work with human language. Trained on large datasets consisting of text from the Internet, books, articles, and many other data sources, the model learns to predict the next word in a sentence based on previous words. LLMs are not only able to generate human language but can also generate source code to support humans in the implementation of software systems.

These comprise the following modules: using machine learning and satellite imagery. The platform includes modules for data collection, Data Collection: This module provides tools to image augmentation, training, testing, and prediction, extract suitable image patches from pre-existing images streamlining the entire workflow for image or download satellite imagery from sources like classification tasks. This paper presents a detailed Google Earth. It also includes features for labeling overview of the capabilities of deepTerra, shows and organizing datasets efficiently. When geographic how it has been applied to various research areas, coordinates are available, they are automatically and discusses the future directions it might take.

New releases in fiction, nonfiction and comics that caught our attention. There's something about the idea of coming home and reawakening dormant familial trauma that just makes for great horror stories, and Sacrificial Animals is no exception. In the novel, brothers Nick and Joshua Morrow return to their family's farm in Nebraska after many years estranged from their abusive father, reopening old wounds and allowing supernatural forces to take root. Sacrificial Animals bounces between "Then" and "Now" perspectives, painting a picture of the boys' childhoods under the violent and racist man, and the gravity of returning once they learn he is dying. The slow burn horror story weaves in Chinese mythology, using flowery language and a Cormac McCarthy-like lack of quotation marks (and McCarthy-like brutality) to really give it a folkloric feel.

Video game workers--whatever their job, employer, or status--have clearly had enough. This month alone, the labor movement has made some of its biggest advancements ever in organizing the techies, artists, and creatives who keep the largest, most culturally significant sector of the global entertainment industry running and thriving. First, on July 19, came "wall-to-wall" union approval at Fallout-maker Bethesda Game Studios, which meant that everyone from engineers to artists could establish a comprehensive unit with the Communications Workers of America. They quickly earned recognition from parent company Microsoft, marking the first wall-to-wall effort to succeed at any of the Big Tech firm's gaming studios. On July 24, even more company workers got into the game.