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https://youtu.be/RdoLcgxvf98

White Rabbit
Recorded Live: 11/8/1975 — Winterland — San Francisco, CA
More Jefferson Starship at Music Vault: http://www.musicvault.com

Personnel:
Grace Slick — vocals
Paul Kantner — vocals, guitar
Marty Balin — vocals, percussion
David Frieberg — keyboards, bass, vocals.
Craig Chaquico — lead guitar
Pete Sears — bass, piano
Johnny Barbata — drums, vocals (on track #4)

Summary:
Recorded after the monumentally successful Red Octopus album release, but prior to 1976’s Spitfire album, this Jefferson Starship concert captures the band performing a diverse set before a hometown audience. With singer Marty Balin back in the fold, the group again contained the three primary vocalists from the Jefferson Airplane, now supported by vocalist, keyboardist, part-time bassist, and ex-Quicksilver Messenger Service member David Frieberg; the young guitar prodigy Craig Chaquico; and the superb rhythm section of bassist/pianist Pete Sears and drummer Johnny Barbata. The group was riding high on the multi-platinum Red Octopus album and was arguably at a new peak of popularity.

This set is not only represented by material from the early Jefferson Starship albums and a couple of Jefferson Airplane classics, but interestingly features live performances of material from Grace Slick’s first solo album plus two of the best tracks Marty Balin recorded with his post-Jefferson Airplane project, Bodacious D F.

Microsoft has helped build the first device that automatically encodes digital information into DNA and back to bits again.

DNA storage: Microsoft has been working toward a photocopier-size device that would replace data centers by storing files, movies, and documents in DNA strands, which can pack in information at mind-boggling density.

According to Microsoft, all the information stored in a warehouse-size data center would fit into a set of Yahztee dice, were it written in DNA.

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Is your AI intelligent or just looking like it’s intelligent? In many ways, this depends on your idea of AI and what it is supposed to do. Scientists at Singapore University of Technology and Design have worked out a way to check for the issue. Open Access Journal: https://www.nature.com/articles/s41467-019-08987-4


Current learning machines have successfully solved hard application problems, reaching high accuracy and displaying seemingly intelligent behavior. Here we apply recent techniques for explaining decisions of state-of-the-art learning machines and analyze various tasks from computer vision and arcade games. This showcases a spectrum of problem-solving behaviors ranging from naive and short-sighted, to well-informed and strategic. We observe that standard performance evaluation metrics can be oblivious to distinguishing these diverse problem solving behaviors. Furthermore, we propose our semi-automated Spectral Relevance Analysis that provides a practically effective way of characterizing and validating the behavior of nonlinear learning machines. This helps to assess whether a learned model indeed delivers reliably for the problem that it was conceived for. Furthermore, our work intends to add a voice of caution to the ongoing excitement about machine intelligence and pledges to evaluate and judge some of these recent successes in a more nuanced manner.

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Before 1907, if you wanted a color photograph then you (well, a professional colorist) basically had to color it in using different dyes and pigments, but two French brothers called Auguste and Louis Lumière changed all that with a game-changing process that they called the Autochrome Lumière. Using dyed grains of potato starch and light-sensitive emulsion, they were able to produce vibrant photographs without the need for additional colorization. Despite being difficult to manufacture and also somewhat expensive, the process was very popular among amateur photographers and one of the world’s first books of color photography was published using the Autochrome Lumière technique.

The brothers revolutionized the world of color photography until Kodak took things to a whole new level with the invention of Kodachrome film in 1935, a lighter and more convenient alternative that quickly made the Autochrome Lumière obsolete (although its popularity continued in France up until the 1950s). Kodachrome was also eventually overtaken by the rise of digital photography (Kodak stopped manufacturing Kodachrome in 2009), which is now by far the world’s most popular way to take pictures, but modern advances in photographic technology wouldn’t have been possible without the hard work of early pioneers like Auguste and Louis Lumière. Scroll down for a collection of stunning century-old color photographs using their groundbreaking technique.

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Nvidia holds a dominant position in terms of making the chips that power artificial intelligence projects, but can the Silicon Valley tech company with roots in the world of gaming and graphics succeed in healthcare?

By Arundhati Parmar

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Scientists at the University of Science and Technology of China injected tiny nanoparticles that bind to the retina into the eyeballs of test mice, granting them what the researchers called “super vision.”

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From pop culture channel InqPOP:


Inspired by the Star Wars movie franchise, this newly recognized sport by the French is different from how the other weapons are used in fencing. For one, it requires combatants to pull their sword from behind themselves before they can try to strike their opponent. It also has rounds that last three minutes. And the first duelist who will reach 15 victories will be announced as the winner.

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