Right now, the market for those knowledgeable in data is growing quickly. It’s estimated that US data professional job openings grew by 364,000 openings by 2020 alone. However, when you see terms like machine learning, data science and data analytics Read more […]
Europe’s history is stored in billions of archival pages across the continent. While many archives try to make their documents public, finding information in them remains a low-tech affair. Simple page scans do not offer the metadata such as dates, names, locations that often interest researchers. Copying this information for later use is also time-consuming.
Artificial intelligence is a rapidly growing field of science and technology, yet the potential it holds for enhancing some of the world’s most powerful experimental tools such as neutron and x-ray probes is yet to be fully explored. Applying machine learning methods to processes within these international experimental facilities could help to overcome some of the biggest challenges faced by scientists today. This includes automating some of the handling, processing, and linking together of large datasets. At Institut Laue-Langevin, exploratory projects are already underway to ensure scattering science also reaps the benefits of artificial intelligence research.
– the digital terrestrial broadcasting. As opposed to the linear transmission of sound in analog, digital radio uses compressed digital signals for radio terrestrial broadcasts. As analog signals suffer from quality loss due to signal interference and obstructions, the digital radio, on the other hand, offers an excellent audio quality.
A robot that behaves or thinks like a human is called a humanoid. A robot can either be controlled directly using a controlled device or can be programmed to do specific tasks autonomously. Robots are widely used in manufacturing, assembly and packing, transport, earth and space exploration, surgery, weaponry, laboratory research, and mass production of consumer and industrial goods. The world’s first digital robot called the Unimate was invented by George Devol in 1954. It was sold to General Motors to help with the manufacturing process like lifting hot pieces of metal from a die casting machine and stacking them. But a humanoid robot was still a fiction until 1972, when the first humanoid robot called WABOT-1 was developed by Waseda University (Japan).WABOT-1 was able to walk, communicate (in japanese), grip objects, etc.
Apple is best known for its series of personal computers, phones (iPhone) and various innovative products. It first introduced the Macintosh (Mac) computer back in 1984, which was widely sold as a personal computer. One thing that makes a Mac different from other desktop computers is that it comes with a display unit, which makes it an all-in-one PC. It was the most successful all-in-one desktop computer of that time. Since then Apple is working on various technologies to come up with new innovative products like the Magic keyboard.
Radio receiver is one such gadget that people have been using for many generations. After the invention of radio communication by Guglielmo Marconi in 1895, the first radio receiver was also invented by Marconi. A radio receiver is an electronic device that can only receive radio signals and can convert the radio signals to audio and sound. A radio receiver can receive radio signals of various frequencies by tuning to a particular frequency.
Supply chains have been a big topic in the news lately. That’s because these integral elements of global trade are how we transport our goods. When they’re disrupted, the results are bad for businesses and consumers alike. Fortunately, however, innovations in logistics tech are helping to stabilize supply chains worldwide.
Agrivoltaics might just be the redemptive cooperation that would salvage humanity from the ill-thought pursuit of indiscriminate competition. This adaptable, integral solution has the potential to not only make economic pursuits sustainable in general but also help achieve individual self-sufficiency and energy independence.
Dr. Brian Cahill, Programme Manager of the TRAIN@Ed MSCA COFUND project at the Institute for Academic Development of University of Edinburgh and member of EuroScience board, explains the reason why it is paramount for young researchers to broaden their skills and horizons, but also to contribute to the policy making process that influences their future.
Prof. Hirche and her team are using artificial intelligence to develop advanced robotic systems that can work alongside humans in a safe and intuitive manner.
European science conversations by the community, for the community
This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
Strictly Necessary Cookies
Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.
If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.