Japan’s space agency just made history by landing robots on an asteroid.
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Category: robotics/AI – Page 2053
Quantum computing ‘will enable us to predict and improve chemical reactions, new materials and their properties, as well as provide new understandings of spacetime and the emergence of our universe,’ the White House said.
Google, IBM, JPMorgan Chase & Co., and other key U.S. companies are set to attend a White House quantum computing meeting to be held on Monday, Reuters reports.
A groundbreaking technology still in its infancy, quantum computing could have a major impact on transportation, healthcare, communications, weather forecasting, artificial intelligence, and other areas. Quantum computing could, experts claim, revolutionize our society.
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James Hughes : “Great convo with Yuval Harari, touching on algorithmic governance, the perils of being a big thinker when democracy is under attack, the need for transnational governance, the threats of automation to the developing world, the practical details of UBI, and a lot more.”
In this episode of the Waking Up podcast, Sam Harris speaks with Yuval Noah Harari about his new book 21 Lessons for the 21st Century. They discuss the importance of meditation for his intellectual life, the primacy of stories, the need to revise our fundamental assumptions about human civilization, the threats to liberal democracy, a world without work, universal basic income, the virtues of nationalism, the implications of AI and automation, and other topics.
Yuval Noah Harari has a PhD in History from the University of Oxford and lectures at the Hebrew University of Jerusalem, specializing in world history. His books have been translated into 50+ languages, with 12+ million copies sold worldwide. Sapiens: A Brief History of Humankind looked deep into our past, Homo Deus: A Brief History of Tomorrow considered far-future scenarios, and 21 Lessons for the 21st Century focuses on the biggest questions of the present moment.
News Brief: The Japan Aerospace Exploration Agency today launched a robotic cargo ship to the International Space Station, filled with more than five tons of supplies, equipment and experiments. Liftoff of Japan’s H-IIB rocket from the Tanegashima Space Center came at 2:52 a.m. JST Sept. 23 (10:52 a.m. PT Sept. 22). Minutes later, the HTV-7 cargo carrier (also known as Kounotori-7) separated from the rocket, heading for a Thursday rendezvous with the space station. Among the cylindrical craft’s payloads are new hardware to upgrade the station’s electrical power system, an experiment to study protein crystal growth at low temperatures, a life-sciences glovebox and an experimental sample return capsule.
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Hayabusa-2:! Japan’s space agency (JAXA) has made history by successfully landing two robotic explorers on the surface of an asteroid. The two small “rovers”, which were despatched from the Hayabusa-2 spacecraft on Friday, will move around the 1km-wide space rock known as Ryugu. The asteroid’s low gravity means they can hop across it, capturing temperatures and images of the surface. “Both rovers are in good condition,” the agency confirmed on Saturday…here: https://www.bbc.com/news/science-environment-45598156
Pictures have emerged from the surface of an asteroid after Japan landed two robotic rovers on it.
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Should we trust technology experts? We live in times of incredible innovations and impressive complexity. The last 30 years of technological development overturned our society, and the next 30 will likely reshape the foundations of what it means to be human. Machines have been the wealth engines of our industrial modernity, while data control and artificial intelligence will structure the power battlefields of this century.
It’s not hard then to understand why technologists, computer scientists, engineers, tech-entrepreneurs, IT experts, data analysts, etc — dress the status of champions in our age. They are shipping us into the wonders of Web 3.0, Industry 4.0, 5G communications, the blockchain transition, the G (eneticengineering). R (obotics). AI. N (anotechnologies) Revolution…and another thousand of cryptic acronyms forbidden to ordinary mortals.
We are flooded with tech-narratives. Let’s start by playing with our imaginations. What does naturally come to your mind if I say:
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As corporations struggle to fight off hackers and contain data breaches, some are looking to artificial intelligence for a solution.
They’re using machine learning to sort through millions of malware files, searching for common characteristics that will help them identify new attacks. They’re analyzing people’s voices, fingerprints and typing styles to make sure that only authorized users get into their systems. And they’re hunting for clues to figure out who launched cyberattacks—and make sure they can’t do it again.
As hackers get smarter and more determined, artificial intelligence is going to be an important part of the solution.
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This video is the second in a two-part series discussing big data. In this video, we’ll be discussing how we can utilize the vast quantities of data being generated as well as the implications of linked data on big data.
[0:33–4:43] — Starting off we’ll look at, what exactly big data is and delving deeper into the types of data, structured and unstructured and how they will be analyzed both by humans and machine learning (AI).
[4:43–11:37] — Following that we’ll discuss, how this data will be put to use and the next evolution of data, linked data, and how it will change the world and the web!
[11:37–12:37] — To conclude we’ll briefly overview the role cloud computing will play with big data!
Computer scientists at MIT have developed a machine-learning system that can identify objects in an image based on a spoken description of the image.
Typical speech recognition systems like Google Voice and Siri rely on transcriptions of thousands of hours of speech recordings, which are then used to map speech signals to specific words.
Still in its early stages, the MIT system learns words from recorded speech clips and objects in images and then links them. Several hundred different works and objects can be recognized so far, with expectations that future versions can advance to a larger scale.
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