Scientists found a way to turn boiling water to ice, without using any energy

Physicists at the University of Zurich have developed an amazingly simple device that allows heat to flow temporarily from a cold to a warm object without an external power supply. Intriguingly, the process initially appears to contradict the fundamental laws of physics.


Theoretically, this experimental device could turn boiling water to ice, without using any energy. (Andreas Schilling, UZH)

If you put a teapot of boiling water on the kitchen table, it will gradually cool down. However, its temperature is not expected to fall below that of the table. It is precisely this everyday experience that illustrates one of the fundamental laws of physics – the second law of thermodynamics – which states that the entropy of a closed natural system must increase over time. Or, more simply put: Heat can flow by itself only from a warmer to a colder object, and not the other way round.

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MIT’s new “recycling robot” RoCycle can sort paper, plastic and metal objects

MIT’s CSAIL has created a new kind of Robot for sorting paper, plastic and metal objects. They achieved it by giving the robots a sense of touch. They named this recycling robot as RoCycle.

Sorting the objects during the recycling process is a tough task and it will impose a Safety risk to the workers. So, this Recycling Robot can help to address that issue.

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Astronomers capture first image of a black hole

Scientists from around the world have unveiled the first image of a supermassive black hole.

Image: EHT Collaboration

The black hole image was recorded using the Event Horizon Telescope (EHT) — a planet-scale network of eight radio telescopes around the world. The image reveals the black hole at the center of Messier 87 (M87), a massive galaxy in the nearby Virgo galaxy cluster.

Black holes are extraordinary cosmic objects with enormous masses but extremely compact sizes. The presence of these objects affects their environment in extreme ways, warping spacetime and superheating any surrounding material.

Creating the EHT was a formidable challenge which required upgrading and connecting a worldwide network of eight pre-existing telescopes deployed at a variety of challenging high-altitude sites. These locations included volcanoes in Hawai`i and Mexico, mountains in Arizona and the Spanish Sierra Nevada, the Chilean Atacama Desert, and Antarctica.

The EHT observations use a technique called very-long-baseline interferometry (VLBI) which synchronises telescope facilities around the world and exploits the rotation of our planet to form one huge, Earth-size telescope observing at a wavelength of 1.3mm. VLBI allows the EHT to achieve an angular resolution of 20 micro-arcseconds — enough to read a newspaper in New York from a café in Paris.

Twitter rolls out a ‘lights out’ dark mode for iPhones

Twitter has announced that it is rolling out dark mode named as “lights out” to the iOS devices.

People are expecting “Dark Mode” in all the Apps. Because Dark Mode can help to save Battery life for the Devices that use OLED Display.

By listening to the demands of the users, Twitter is rolling out this Dark Mode for the Twitter App of iOS. Currently it will not be available for Android users.

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Fathers of the Deep Learning Revolution Receive ACM A.M. Turing Award

ACM, the Association for Computing Machinery, named Yoshua Bengio, Geoffrey Hinton, and Yann LeCun recipients of the 2018 ACM A.M. Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.

Bengio is Professor at the University of Montreal and Scientific Director at Mila, Quebec’s Artificial Intelligence Institute; Hinton is VP and Engineering Fellow of Google, Chief Scientific Adviser of The Vector Institute, and University Professor Emeritus at the University of Toronto; and LeCun is Professor at New York University and VP and Chief AI Scientist, Facebook.

Working independently and together, Hinton, LeCun and Bengio developed conceptual foundations for the field, identified surprising phenomena through experiments, and contributed engineering advances that demonstrated the practical advantages of deep neural networks. In recent years, deep learning methods have been responsible for astonishing breakthroughs in computer vision, speech recognition, natural language processing, and robotics—among other applications.

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