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Archive for the ‘information science’ category: Page 8

Mar 9, 2019

Waking Up with Sam Harris

Posted by in categories: economics, governance, information science, robotics/AI

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.

Twitter: @harari_yuval

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Mar 9, 2019

The World’s Most Valuable AI Companies, and What They’re Working On

Posted by in categories: business, finance, information science, robotics/AI

Artificial intelligence and its subset of disciplines—such as machine learning, natural language processing, and computer vision —are seemingly becoming integrated into our daily lives whether we like it or not. What was once sci-fi is now ubiquitous research and development in company and university labs around the world.

Similarly, the startups working on many of these AI technologies have seen their proverbial stock rise. More than 30 of these companies are now valued at over a billion dollars, according to data research firm CB Insights, which itself employs algorithms to provide insights into the tech business world.

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Mar 7, 2019

Google’s Doodle celebrates Russian mathematician Olga Ladyzhenskaya’s 97th birth anniversary

Posted by in category: information science

Google’s Doodle on Thursday marked the 97th birth anniversary of Russian mathematician Olga Ladyzhenskaya. She was known for her work on partial differential equations and in the field of fluid dynamics, which led to several developments in the study of fluid dynamics and paved the way for advances in weather forecasting, oceanography, aerodynamics, and cardiovascular science.

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Mar 6, 2019

The Algorithm Will See You Now: How AI is Helping Doctors Diagnose and Treat Patients

Posted by in categories: biotech/medical, information science, robotics/AI

Artificial intelligence researchers are building tools to quickly and accurately turn data into diagnoses. But practical limitations and ethical concerns mean humans should remain in charge.

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Mar 6, 2019

The Math That Takes Newton Into the Quantum World

Posted by in categories: information science, mathematics, quantum physics, transportation

In my 50s, too old to become a real expert, I have finally fallen in love with algebraic geometry. As the name suggests, this is the study of geometry using algebra. Around 1637, René Descartes laid the groundwork for this subject by taking a plane, mentally drawing a grid on it, as we now do with graph paper, and calling the coordinates x and y. We can write down an equation like x + y = 1, and there will be a curve consisting of points whose coordinates obey this equation. In this example, we get a circle!

It was a revolutionary idea at the time, because it let us systematically convert questions about geometry into questions about equations, which we can solve if we’re good enough at algebra. Some mathematicians spend their whole lives on this majestic subject. But I never really liked it much until recently—now that I’ve connected it to my interest in quantum physics.

If we can figure out how to reduce topology to algebra, it might help us formulate a theory of quantum gravity.

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Mar 6, 2019

The A.I. Diet

Posted by in categories: food, government, information science, robotics/AI

Opinion

Forget government-issued food pyramids. Let an algorithm tell you how to eat.

Credit Credit Erik Blad

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Mar 3, 2019

Intel Unveils the Intel Neural Compute Stick 2 at Intel AI Devcon Beijing for Building Smarter AI Edge Devices

Posted by in categories: information science, robotics/AI

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What’s New: Intel is hosting its first artificial intelligence (AI) developer conference in Beijing on Nov. 14 and 15. The company kicked off the event with the introduction of the Intel® Neural Compute Stick 2 (Intel NCS 2) designed to build smarter AI algorithms and for prototyping computer vision at the network edge. Based on the Intel® Movidius™ Myriad™ X vision processing unit (VPU) and supported by the Intel® Distribution of OpenVINO™ toolkit, the Intel NCS 2 affordably speeds the development of deep neural networks inference applications while delivering a performance boost over the previous generation neural compute stick. The Intel NCS 2 enables deep neural network testing, tuning and prototyping, so developers can go from prototyping into production leveraging a range of Intel vision accelerator form factors in real-world applications.

“The first-generation Intel Neural Compute Stick sparked an entire community of AI developers into action with a form factor and price that didn’t exist before. We’re excited to see what the community creates next with the strong enhancement to compute power enabled with the new Intel Neural Compute Stick 2.” –Naveen Rao, Intel corporate vice president and general manager of the AI Products Group

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Feb 28, 2019

New milestones in helping prevent eye disease with Verily

Posted by in categories: biotech/medical, information science, robotics/AI

Over the last three years, Google and Verily—Alphabet’s life sciences and healthcare arm—have developed a machine learning algorithm to make it easier to screen for disease, as well as expand access to screening for DR and DME. As part of this effort, we’ve conducted a global clinical research program with a focus on India. Today, we’re sharing that the first real world clinical use of the algorithm is underway at the Aravind Eye Hospital in Madurai, India.


Google and Verily share updates to their initiative to diagnose diabetic eye disease leveraging machine learning.

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Feb 28, 2019

Researchers develop a fleet of 16 miniature cars for cooperative driving experiments

Posted by in categories: information science, robotics/AI, transportation

A team of researchers at The University of Cambridge has recently introduced a unique experimental testbed that could be used for experiments in cooperative driving. This testbed, presented in a paper pre-published on arXiv, consists of 16 miniature Ackermann-steering vehicles called Cambridge Minicars.

“Using true-scale facilities for vehicle testbeds is expensive and requires a vast amount of space,” Amanda Prorok. “Our main objective was to build a low-cost, multi-vehicle that is easy to maintain and that is easy to use to prototype new algorithms. In particular, we were interested in testing and tangibly demonstrating the benefits of cooperative driving on multi-lane road topographies.”

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Feb 28, 2019

Progress Towards Using Quantum Computers for Solving Quantum Chemistry and Machine Learning

Posted by in categories: chemistry, information science, quantum physics, robotics/AI

IonQ used its trapped-ion computer and a scalable co-design framework for solving chemistry problems. They applied it to compute the ground-state energy of the water molecule. The robust operation of the trapped ion quantum computer yields energy estimates with errors approaching the chemical accuracy, which is the target threshold necessary for predicting the rates of chemical reaction dynamics.

Quantum chemistry is a promising application where quantum computing might overcome the limitations of known classical algorithms, hampered by an exponential scaling of computational resource requirements. One of the most challenging tasks in quantum chemistry is to determine molecular energies to within chemical accuracy.

At the end of 2018, IonQ announced that they had loaded 79 operating qubits into their trapped ion system and had loaded 160 ions for storage in another test. This new research shows that they are making progress applying their system to useful quantum chemistry problems. They are leveraging the trapped-ions system longer stability to process many steps. The new optimization methods developed for this first major quantum chemistry problem can also be used to solve significant optimization and machine learning problems.

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