Lifeboat Foundation

The instrumental title track “I Robot”, together with the successful single “I Wouldn’t Want To Be Like You”, form the opening of “I Robot”, a progressive rock album recorded by The Alan Parsons Project and engineered by Alan Parsons and Eric Woolfson in 1977. It was released by Arista Records in 1977 and re-released on CD in 1984 and 2007. It was intended to be based on the “I, Robot” stories written by Isaac Asimov, and actually Woolfson spoke with Asimov, who was enthusiastic about the concept. However, as the rights had already been granted to a TV/movie company, the album’s title was altered slightly by removing the comma, and the theme and lyrics were made to be more generically about robots rather than specific to the Asimov universe. The cover inlay reads: “I ROBOT… HE STORY OF THE RISE OF THE MACHINE AND THE DECLINE OF MAN, WHICH PARADOXICALLY COINCIDED WITH HIS DISCOVERY OF THE WHEEL… ND A WARNING THAT HIS BRIEF DOMINANCE OF THIS PLANET WILL PROBABLY END, BECAUSE MAN TRIED TO CREATE ROBOT IN HIS OWN IMAGE.” The Alan Parsons Project were a British progressive rock band, active between 1975 and 1990, founded by Eric Woolfson and Alan Parsons. Englishman Alan Parsons (born 20 December 1948) met Scotsman Eric Norman Woolfson (18 March 1945 — 2 December 2009) in the canteen of Abbey Road Studios in the summer of 1974. Parsons had already acted as assistant engineer on The Beatles’ “Abbey Road” and “Let It Be”, had recently engineered Pink Floyd’s “The Dark Side Of The Moon”, and had produced several acts for EMI Records. Woolfson, a songwriter and composer, was working as a session pianist, and he had also composed material for a concept album idea based on the work of Edgar Allan Poe. Parsons asked Woolfson to become his manager and Woolfson managed Parsons’ career as a producer and engineer through a string of successes including Pilot, Steve Harley, Cockney Rebel, John Miles, Al Stewart, Ambrosia and The Hollies. Parsons commented at the time that he felt frustrated in having to accommodate the views of some of the musicians, which he felt interfered with his production. Woolfson came up with the idea of making an album based on developments in the film industry, where directors such as Alfred Hitchcock and Stanley Kubrick were the focal point of the film’s promotion, rather than individual film stars. If the film industry was becoming a director’s medium, Woolfson felt the music business might well become a producer’s medium. Recalling his earlier Edgar Allan Poe material, Woolfson saw a way to combine his and Parsons’ respective talents. Parsons would produce and engineer songs written by the two, and The Alan Parsons Project was born. This channel is dedicated to the classic rock hits that have become part of the history of our culture. The incredible AOR tracks that define music from the late 60s, the 70s and the early 80s… lassic Rock is here!

Check out my newer music videos and other fun stuff at:
www.youtube.com/djbuddylove3000

Continue reading “I Robot/I Wouldn’t Want To Be Like You — The Alan Parsons Project” »

Tiny, brainless jellyfish just did something that on the surface may seem impossible: the adorable creatures showed evidence of learning.

Even with just 1,000 neurons active at a time and no central brain, Caribbean box jellyfish (Tripedalia cystophora) can learn from experience, researchers argue in a new paper published September 22 in the journal Current Biology. The results aren’t surprising, say several scientists not involved in the project, but are a reminder for people to think more broadly about learning.

“If you’re an animal and have to navigate the world, you have to learn cues and consequences. Otherwise you’re dead, and you can’t reproduce,” says Christie Sahley, a… More.

Continue reading “These Adorable Jellyfish Show Learning Doesn’t Even Require a Brain” »

What if you could hear photos? Impossible, right? Not anymore – with the help of artificial intelligence (AI) and machine learning, researchers can now get audio from photos and silent videos.

Academics from four US universities have teamed up to develop a technique called Side Eye that can extract audio from static photos and silent – or muted – videos.

The technique targets the image stabilization technology that is now virtually standard across most modern smartphones.

For the first time, Stanford researchers have found a way to create and stabilize an extremely rare form of gold that has lost two negatively charged electrons, denoted Au²⁺. The material stabilizing this elusive version of the valued element is a halide perovskite—a class of crystalline materials that holds great promise for various applications including more-efficient solar cells, light sources, and electronics components.

Surprisingly, the Au²⁺ perovskite is also quick and simple to make using off-the-shelf ingredients at room temperature.

“It was a real surprise that we were able to synthesize a stable material containing Au²⁺ —I didn’t even believe it at first,” said Hemamala Karunadasa, associate professor of chemistry at the Stanford School of Humanities and Sciences and senior author of the study published Aug. 28 in Nature Chemistry. “Creating this first-of-its-kind Au²⁺ perovskite is exciting. The gold atoms in the perovskite bear strong similarities to the copper atoms in high-temperature superconductors, and heavy atoms with unpaired electrons, like Au²⁺, show cool magnetic effects not seen in lighter atoms.”

There’s still a lot of mystery surrounding the Apple Car but we know a few things about it, including the fact it won’t be cheap.

I have to share this because it is a gem. My Kenyan business is gemstones 🙄 because Kenya is not far from Tanzanite. Anyways, here is free software for all you video creators. If you want to pay for it, it is $300 for the studio version. The same company also makes hardware for color correction, so you don’t drag a mouse you twist knobs.

Professional video editing, color correction, visual effects and audio post production all in a single application. Free and paid versions for Mac, Windows and Linux.

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s good at spotting these patterns. This links the idea of making good guesses—which is what large language models like GPT-4 do very well —to achieving good compression.

In an arXiv research paper titled “Language Modeling Is Compression,” researchers detail their discovery that the DeepMind large language model (LLM) called Chinchilla 70B can perform lossless compression on image patches from the ImageNet image database to 43.4 percent of their original size, beating the PNG algorithm, which compressed the same data to 58.5 percent. For audio, Chinchilla compressed samples from the LibriSpeech audio data set to just 16.4 percent of their raw size, outdoing FLAC compression at 30.3 percent.

In this case, lower numbers in the results mean more compression is taking place. And lossless compression means that no data is lost during the compression process. It stands in contrast to a lossy compression technique like JPEG, which sheds some data and reconstructs some of the data with approximations during the decoding process to significantly reduce file sizes.

The robot industry is expected to grow significantly in the coming years and with AI powering these machines they are to shape the future.

The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.