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The development could result in many more general-purpose robots being developed at a faster rate.

Robots today can do a variety of tasks as long as they are trained on real-world data. But what if they could bypass this step? It would result in many more general-purpose robots being developed at a faster rate.

Google’s DeepMind has introduced a self-improving AI model called RoboCat that may just be the key to machines that can self-generate new training data to improve their technique without too much human interference.

“This year, we’re introducing new features that use AI to help fans gain more insight and access commentary through our match highlights videos.”

Wimbledon, one of the most prestigious tennis tournaments in the world, is set to revolutionize its coverage this year by introducing artificial intelligence-powered commentary and analysis, according to a press release. The All England Club has partnered with tech giant IBM to offer fans a unique immersive experience with AI-generated audio commentary and captions in online highlights videos.

IBM, pioneers of AI-curated video highlights which earned the IBM Consulting team an Emmy Award, trained its bleeding-edge Watson AI platform in tennis… More.


Dmytro Aksonov/iStock.

As the world gets warmer, the use of power-hungry air conditioning systems is projected to increase significantly, putting a strain on existing power grids and bypassing many locations with little or no reliable electric power. Now, an innovative system developed at MIT offers a way to use passive cooling to preserve food crops and supplement conventional air conditioners in buildings, with no need for power and only a small need for water.

The system, which combines radiative cooling, evaporative cooling, and thermal insulation in a slim package that could resemble existing solar panels, can provide up to about 19 degrees Fahrenheit (9.3 degrees Celsius) of cooling from the ambient temperature, enough to permit safe food storage for about 40 percent longer under very humid conditions. It could triple the safe storage time under dryer conditions.

The findings are reported today in the journal Cell Reports Physical Science, in a paper by MIT postdoc Zhengmao Lu, Arny Leroy PhD ’21, professors Jeffrey Grossman and Evelyn Wang, and two others. While more research is needed in order to bring down the cost of one key component of the system, the researchers say that eventually such a system could play a significant role in meeting the cooling needs of many parts of the world where a lack of electricity or water limits the use of conventional cooling systems.

Research from the Babraham Institute has developed a method to ‘time jump’ human skin cells by 30 years, turning back the ageing clock for cells without losing their specialised function. Work by researchers in the Institute’s Epigenetics research programme has been able to partly restore the function of older cells, as well as rejuvenating the molecular measures of biological age. The research is published today in the journal eLife and whilst at an early stage of exploration, it could revolutionise regenerative medicine.

What is regenerative medicine?

As we age, our cells’ ability to function declines and the genome accumulates marks of ageing. Regenerative biology aims to repair or replace cells including old ones. One of the most important tools in regenerative biology is our ability to create ‘induced’ stem cells. The process is a result of several steps, each erasing some of the marks that make cells specialised. In theory, these stem cells have the potential to become any cell type, but scientists aren’t yet able to reliably recreate the conditions to re-differentiate stem cells into all cell types.

MIT researchers have found a new mechanism by which the superconductor iron selenide transitions into a superconducting state. Unlike other iron-based superconductors, iron selenide’s transition involves a collective shift in atoms’ orbital energy, not atomic spins. This breakthrough opens up new possibilities for discovering unconventional superconductors.

Under certain conditions — usually exceedingly cold ones — some materials shift their structure to unlock new, superconducting behavior. This structural shift is known as a “nematic transition,” and physicists suspect that it offers a new way to drive materials into a superconducting state where electrons can flow entirely friction-free.

But what exactly drives this transition in the first place? The answer could help scientists improve existing superconductors and discover new ones.

Note: June 23 is Alan Turing’s birth anniversary.

Alan Turing wore many scientific hats in his lifetime: a code-breaker in World War II, a prophetic figure of artificial intelligence (AI), a pioneer of theoretical biology, and a founding figure of theoretical computer science. While the former of his roles continue to catch the fancy of popular culture, his fundamental contribution to the development of computing as a mathematical discipline is possibly where his significant scientific impact persists to date.