Archive for the ‘information science’ category: Page 169

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.

Read more

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.

Continue reading “The Math That Takes Newton Into the Quantum World” »

Mar 6, 2019

The A.I. Diet

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


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

Credit Credit Erik Blad

Continue reading “The A.I. Diet” »

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

» Download all images (ZIP, 59 MB)

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

Read more

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.

Read more

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.”

Continue reading “Researchers develop a fleet of 16 miniature cars for cooperative driving experiments” »

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.

Continue reading “Progress Towards Using Quantum Computers for Solving Quantum Chemistry and Machine Learning” »

Feb 21, 2019

Israeli team develops way to find genetic flaws in fetus at 11 weeks

Posted by in categories: biotech/medical, computing, genetics, health, information science

Researchers at Tel Aviv University say they have developed a new, noninvasive method of discovering genetic disorders that can let parents find out the health of their fetus as early as 11 weeks into pregnancy.

A simple blood test lets doctors diagnose genetic disorders in fetuses early in pregnancy by sequencing small amounts of DNA in the mother’s and the father’s blood. A computer algorithm developed by the researchers analyzes the results of the sequencing and then produces a “map” of the fetal genome, predicting mutations with 99 percent or better accuracy, depending on the mutation type, the researchers said in a study published Wednesday in Genome Research.

The algorithm is able to distinguish between the genetic material of the parents and that of the fetus, said Prof. Noam Shomron of Tel Aviv University’s Sackler School of Medicine led the research, in a phone interview with The Times of Israel.

Continue reading “Israeli team develops way to find genetic flaws in fetus at 11 weeks” »

Feb 18, 2019

OpenAI’s GPT-2 algorithm is good in knitting fake news

Posted by in categories: information science, robotics/AI

Fake. Dangerous. Scary. Too good. When headlines swim with verdicts like those then you suspect, correctly, that you’re in the land of artificial intelligence, where someone has come up with yet another AI model.

So, this is, GPT-2, an algorithm and, whether it makes one worry or marvel, “It excels at a task known as language modeling,” said The Verge, “which tests a program’s ability to predict the next word in a given sentence.”

Depending on how you look at it, you can blame, or congratulate, a team at California-based OpenAI who created GPT-2. Their language modeling program has written a convincing essay on a topic which they disagreed with.

Continue reading “OpenAI’s GPT-2 algorithm is good in knitting fake news” »

Feb 18, 2019

Turning Light into Matter May Soon Be Possible

Posted by in categories: information science, particle physics

Circa 2014

Scientists may soon create matter entirely from light, using technology that is already available to complete a quest 80 years in the making.

The experiment would re-create events that were critical in the first 100 seconds of the universe and that are also expected to happen in gamma-ray bursts, the most powerful explosions in the cosmos and one of the greatest unsolved mysteries in physics, researchers added.

Continue reading “Turning Light into Matter May Soon Be Possible” »