Lifeboat Foundation

Transformer model, a deep learning framework, has achieved state-of-the-art results across diverse domains, including natural language, conversation, images, and even music. The core block of any Transformer architecture is the attention module, which computes similarity scores for all pairs of positions in an input sequence. Since it requires quadratic computation time and quadratic memory size of the storing matrix, with the increase in the input sequence’s length, its efficiency decreases.

Thus, for long-range attention, one of the most common methods is sparse attention. It reduces the complexity by computing selective similarity scores from the sequence, based on various methods. There are still certain limitations like unavailability of efficient sparse-matrix multiplication operations on all accelerators, lack of theoretical guarantees, insufficiency to address the full range of problems, etc.

Cafe X Robot Coffee Bar in San Francisco employs assembly line-style robots to build your coffee orders for you. This robot barista can make two drinks in under a minute and will get your order right every time.

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A team of researchers affiliated with a host of institutions in Korea and one in Estonia has found a way to use math to study paintings to learn more about the evolution of art history in the western world. In their paper published in Proceedings of the National Academy of Sciences, the group describes how they scanned thousands of paintings and then used mathematical algorithms to find commonalities between them over time.

Beauty, as the saying goes, is in the eye of the beholder—and so it is also with art. Two people looking at the same painting can walk away with vastly different impressions. But art also serves, the researchers contend, as a barometer for visualizing the emotional tone of a given society. This suggests that the study of art history can serve as a channel of sorts—illuminating societal trends over time. The researchers further note that to date, most studies of art history have been qualitatively based, which has led to interpretive results. To overcome such bias, the researchers with this new effort looked to mathematics to see if it might be useful in uncovering features of paintings that have been overlooked by human scholars.

The work involved digitally scanning 14,912 paintings—all of which (except for two) were painted by Western artists. The data for each of the paintings was then sent through a mathematical algorithm that drew partitions on the digital images based on contrasting colors. The researchers ran the algorithm on each painting multiple times, each time creating more partitions. As an example, the first run of the algorithm might have simply created two partitions on a painting—everything on land, and everything in the sky. The second might have split the land into buildings in one partition and farmland in another.

Except someone—or, rather, something— can hear: your car. Hearing your angry words, aggressive tone, and raised voice, and seeing your furrowed brow, the onboard computer goes into “soothe” mode, as it’s been programmed to do when it detects that you’re angry. It plays relaxing music at just the right volume, releases a puff of light lavender-scented essential oil, and maybe even says some meditative quotes to calm you down.

What do you think—creepy? Helpful? Awesome? Weird? Would you actually calm down, or get even more angry that a car is telling you what to do?

Continue reading “Cars Will Soon Be Able to Sense and React to Your Emotions” »

Video of them testing their prototype lightsaber.

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Circa 2016

Scientists from a Belgian university have built a solar-powered machine that can turn urine into drinkable water. They deployed it at a 10-day music and theater festival in central Ghent, Belgium. The experiment was a success as the scientists were able to recover a 1,000 litres of unconsumed water, which will be used to make Belgian beer, from the urine of several partygoers.

CERN’s Timepix particle detectors, developed by the Medipix2 Collaboration, help unravel the secret of a long-lost painting by the great Renaissance master, Raphael. 500 years ago, the Italian painter Raphael passed away, leaving behind him many works of art, paintings, frescoes, and engravings.

CERNs Timepix particle detectors, developed by the Medipix2 Collaboration, help unravel the secret of a long-lost painting by the great Renaissance master, Raphael.

500 years ago, the Italian painter Raphael passed away, leaving behind him many works of art, paintings, frescoes, and engravings. Like his contemporaries Michelangelo and Leonardo da Vinci, Raphael’s work made the joy of imitators and the greed of counterfeiters, who bequeathed us many copies, pastiches, and forgeries of the great master of the Renaissance.

Continue reading “CERN Timepix Technology Helps Rediscover Lost Painting by the Great Renaissance Master, Raphael” »

Soyuz 11 was the only crewed mission to board the world’s first space station, Salyut 1. The crew, Georgy Dobrovolsky, Vladislav Volkov, and Viktor Patsayev, arrived at the space station on 7 June 1971 and departed on 29 June. The mission ended in disaster when the crew capsule depressurized during preparations for reentry, killing the three-man crew. The three crew members of Soyuz 11 are the only humans known to have died in space.

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