ChinAI Jeff Ding’s weekly newsletter reporting on the Chinese AI scene; on the occasion of the newsletter’s first anniversary, Ding has posted a roundup of things about the Chinese AI scene that the rest of the world doesn’t know about, or harbors incorrect beliefs about.
Today, the High-Level Expert Group on AI presents their ethics guidelines for trustworthy artificial intelligence. This follows the publication of the guidelines’ first draft in December 2018 on which more than 500 comments were received through an open consultation.
How many robot dogs does it take to pull a massive truck? Apparently 10. Boston Dynamics
Boston Dynamics is back with another bizarre video starring its animal-like robots.
The latest video features 10 of the dog-like “SpotMini” robots pulling a truck across the company’s parking lot.
Unlike some of the sillier videos from Boston Dynamics, this one demonstrates the raw power of the company’s robots.
The doglike robots from Boston Dynamics are back with another video, but this time the video is less about virality and more focused on demonstrating the machines’ raw power.
Cancer causes the genetic code of DNA to change and the alterations can now be read
The cause of cancer is written into the DNA of tumors, scientists have discovered, in a breakthrough which could finally show how much disease is attributable to factors like air pollution or pesticides.
Until now the roots of many cancers have proved elusive, with doctors unable to tease out the impact of a myriad of carcinogenic causes which people encounter everyday.
Even with lung cancer, it is not known just how much can be attributed to smoking and how much could be linked to other factors, such as living by a busy road, or inhaling pollutants at work.
Artificial intelligence has been around for decades. Is it smart enough now to predict Alzheimer’s? (Brian Monroe/The Washington Post)
What makes artificial intelligence intelligent? Is it able to learn from errors or recognize, say, the letters of the alphabet in a set of random shapes like a human can?
These are some of the questions developers of AI ask. What began as sluggish programs on hulking machines has taken the form of code that anyone in a particular field could test out and manipulate to suit their needs.
In a startling demonstration, the machine drew on experimentation, data, and observation of humans to learn how simple implements could help it achieve a task.
Learning to use tools played a crucial role in the evolution of human intelligence. It may yet prove vital to the emergence of smarter, more capable robots, too.
New research shows that robots can figure out at least the rudiments of tool use, through a combination of experimenting and observing people.
The Japan Aerospace Exploration Agency (JAXA) is working to confirm that its experiment to bomb the asteroid Ryugu was successful. Today at 11:36 am Japan time, JAXA’s unmanned Hayabusa2 deep space probe deployed the SCI (Small Carry-on Impactor), which is designed to blow a hole in the surface of Ryugu to allow for deep sampling, but safety issues prevented the spacecraft from witnessing the detonation directly.
Shooting explosives at an asteroid may seem like a great way to break the monotony of a dull afternoon, but it has a very serious purpose. Aside from pure science, the world’s space agencies are very interested in gaining as much information as possible about the structure and composition of asteroids because it may one day be necessary to deflect or destroy one that is on a collision course with Earth.
The days when you could simply grow a basil plant from a seed by placing it on your windowsill and watering it regularly are gone — there’s no point now that machine learning-optimized hydroponic “cyber-agriculture” has produced a superior plant with more robust flavors. The future of pesto is here.
This research didn’t come out of a desire to improve sauces, however. It’s a study from MIT’s Media Lab and the University of Texas at Austin aimed at understanding how to both improve and automate farming.
In the study, published today in PLOS ONE, the question being asked was whether a growing environment could find and execute a growing strategy that resulted in a given goal — in this case, basil with stronger flavors.
Stronger and more flexible than graphene, a single-atom layer of boron could revolutionize sensors, batteries, and catalytic chemistry.
Not so long ago, graphene was the great new wonder material. A super-strong, atom-thick sheet of carbon “chicken wire,” it can form tubes, balls, and other curious shapes. And because it conducts electricity, materials scientists raised the prospect of a new era of graphene-based computer processing and a lucrative graphene chip industry to boot. The European Union invested €1 billion to kick-start a graphene industry.
This brave new graphene-based world has yet to materialize. But it has triggered an interest in other two-dimensional materials. And the most exciting of all is borophene: a single layer of boron atoms that form various crystalline structures.
Ordinary-looking pajamas are transformed into “smart” ones with five strategically placed sensors that measure heartbeat, respiration and posture.
If you’ve ever dreamed about getting a good night’s sleep, your answer may someday lie in data generated by your sleepwear. Researchers have developed pajamas embedded with self-powered sensors that provide unobtrusive and continuous monitoring of heartbeat, breathing and sleep posture — all factors that play a role in how well a person slumbers.
If you’ve ever dreamed about getting a good night’s sleep, your answer may someday lie in data generated by your sleepwear. Researchers have developed pajamas embedded with self-powered sensors that provide unobtrusive and continuous monitoring of heartbeat, breathing and sleep posture — all factors that play a role in how well a person slumbers. The “smart” garments could give ordinary people, as well as clinicians, useful information to help improve sleep patterns.
Princeton commencement, 1909. Photo: Paul Thompson/FPG/Getty Images
In 1869, at Harvard, Charles Eliot invented the college major as we know it — each student would be channeled into a specialized area of study, and move on to a stable, lifelong job.
The big picture: A century and a half later, American colleges pump out some 4.5 million new bachelor’s degrees every year, but the context — the present and future of work — has changed entirely.