A rare Apple 1, the first model computer ever built by Apple co-founders Steve Jobs and Steve Wozniak, has sold for auction for $400,000. Known as the'Chaffey College' Apple 1 because it was first owned by a professor at Southern California's Chaffey College, the first-gen computer is encased in koa wood and comes with the original Apple 1 'NTI' motherboard, power regulators, and a blue Sprague 39D capacitor. With the sizable 25 percent buyer's fee, the unnamed winner ended up shelling out a total of $500,000. The 45-year-old computer had been predicted to fetch as much as $600,000 according to John Moran Auctioneers, the firm handling the sale. As part of the lot, the winner also received a 1986 Panasonic video monitor, a Xerox copy of the Apple-1 Basic manual, the operations guide and a MOS 6502 programming manual.

Without much ado, let's explore some more ML project ideas that will not just make your portfolio look good but will also significantly improve your machine learning skills. This is a curated list of some of the best machine learning projects for students, aspiring machine learning practitioners, and individuals from non-technical domains. You can work on these projects regardless of your background, as long as you have some coding and know-how of machine learning skills. This is a list of beginner and advanced-level machine learning projects. If you are new to the data industry and have little experience with real-life projects, start with beginner-level ML projects before moving on to the more challenging ones.

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Two key assumptions shape the usual view of ranked retrieval: (1) that the searcher can choose words for their query that might appear in the documents that they wish to see, and (2) that ranking retrieved documents will suffice because the searcher will be able to recognize those which they wished to find. When the documents to be searched are in a language not known by the searcher, neither assumption is true. In such cases, Cross-Language Information Retrieval (CLIR) is needed. This chapter reviews the state of the art for cross-language information retrieval and outlines some open research questions.

Artificial Intelligence served as an instrument for musicologists and classical music experts to complete Beethoven's X Symphony. A known fact is that Beethoven left his tenth symphony unfinished, for some experts what would have been his masterpiece. But on October 9, 2021, the Beethoven Orchestra Bonn performed the complete work under the baton of its conductor Dirk Kaftan. Ever since Ludwig van Beethoven died in 1827, the notation of his 10th Symphony, which was only written in handwritten sketches in the year of his death, has been nicknamed "the Unfinished". One year after the 250th anniversary of Beethoven's birth, an attempt has been made with the help of artificial intelligence (AI) to transfer the composition fragments into a fully formulated work.

A rare Apple 1, the first computer ever built by Apple and its co-founders Steve Jobs and Steve Wozniak, is going up for auction on Tuesday. The 45-year-old computer could sell for as much as $600,000 when the sale is finished, according to John Moran Auctioneers, the organization handling the sale. Known as the'Chaffey College' Apple 1 (due to the fact it was first owned by a Chaffey professor), it is encased with koa wood. It also comes with the original Apple 1 'NTI' motherboard, power regulators and a blue Sprague 39D capacitor. The winner of the Apple 1 will also receive a 1986 Panasonic video monitor, a Xerox copy of the Apple-1 Basic manual, the operations guide and a MOS 6502 programming manual.

In Tom Hanks' latest movie, the beloved actor plays a man living in isolation from the rest of humanity and making his way through a sometimes-harsh environment, giving the star the opportunity to act opposite an untraditional and unemotive screen partner. The movie is Finch, a sci-fi drama now on Apple TV, but on paper it sounds a lot like Cast Away, the blockbuster survival drama that netted Hanks a Best Actor nomination in 2001. But while Finch is probably the closest Hanks has ever come to reviving that particular and distinctive mid-career triumph, it's not exactly an anomaly in Hanks' filmography, especially when you look at the last two decades. In this late stage, Hanks' all-American everyman has increasingly found himself going it alone, replacing the team efforts of Apollo 13 and Saving Private Ryan, and the romantic devotion of Forrest Gump and You've Got Mail and with stories that deal more explicitly with solitude. At the time of its release, Cast Away felt like a novelty act, albeit one executed with great skill.

Corporal punishment, wearing fur, pineapple on pizza – moral dilemmas, are by their very nature, hard to solve. That's why the same ethical questions are constantly resurfaced in TV, films and literature. But what if AI could take away the brain work and answer ethical quandaries for us? Ask Delphi is a bot that's been fed more than 1.7m examples of people's ethical judgments on everyday questions and scenarios. If you pose an ethical quandary, it will tell you whether something is right, wrong, or indefensible. Users just put a question to the bot on its website, and see what it comes up with.

Artificial intelligence applications in video post production come in many flavors: automatic transcription and metadata entry, speeding up lengthy color correction and VFX processes, and so much more. Fears of computational overreach, though, have become common in film and TV. Usually, these worries are a reaction to news of studios using performance prediction algorithms to make decisions about which films or TV series get made. These fears are overblown--at least where film and TV post production is concerned. We are in no danger of artificial intelligence replacing the most vital post-production creative processes.

The government is undertaking research to explore how AI R&D is successfully commercialised and brought to market. The Department for Digital, Culture, Media and Sport (DCMS), along with the Office for Artificial Intelligence and Digital Standards and Internet Governance (DSIG), are leading the research project. Research consultants Oxford Insights and Cambridge Econometrics have been commissioned with exploring the ways'technology transfer' happens for AI, and are seeking to conduct interviews with those with knowledge of the industry. Who is being invited to take part? Oxford Insights and Cambridge Econometrics would like to speak individuals with experience and knowledge of the AI development ecosystem, Innovate UK and other funding programmes, Standards Developing Organisations (SDOs), AI patents, AI R&D in the public and private sectors, AI funding and Venture Capital, and AI policy.