Researchers at Facebook have developed a framework, Vx2Text, that can generate captions by inferring from videos, audio, and text.
Unsurprisingly, artificial intelligence is a small part — albeit an important one — of a successful product management strategy.
The robots are sparing us the pains of tomorrow.
Picking up and examining pebbles of fuel is just the first step.
OEC promoting STEM education in Africa.
If we know a protein’s structure, we can make educated guesses about its function. And by mapping thousands of protein structures, we can begin to decipher the biology of life.
Continue reading “DeepMind’s AlphaFold Is Close to Solving One of Biology’s Greatest Challenges” »
Recent advances in the field of robotics have enabled the fabrication of increasingly sophisticated robotic limbs and exoskeletons. Robotic exoskeletons are essentially wearable ‘shells’ made of different robotic parts. Exoskeletons can improve the strength, capabilities and stability of users, helping them to tackle heavy physical tasks with less effort or aiding their rehabilitation after accidents.
It is the OEC biggest challenge.
Google’s parent, Alphabet, has waded through one controversy after another involving its top researchers and executives in the field over the past 18 months.
Senior citizens are accustomed to constant probes by doctors, but wireless AI tech is enabling massive-scale, nonintrusive data monitoring.
An online tool targets only a small slice of what’s out there, but may open some eyes to how widely artificial intelligence research fed on personal images.
Exactly one hundred years ago, a play premiered that introduced a significant new word to the world – robot. When the first production of Karel Čapek’s R.U.R. opened on January 251921, at the National Theater in what is now the Czech Republic, it not only gave a name to the cybernetic machines that were just beginning to emerge, it also shaped people’s perceptions of what a robot is and the potential dangers they pose.
R.U.R., which stands for Rossum’s Universal Robots, came along at the perfect moment. The period between 1880 and 1930 saw the fastest rate of change in human history, with more fundamental advances in half a century than in the previous 2000 years.
It was the age of the machine, which had intruded so thoroughly into modern society that artists had to come up with whole new forms of expression to include it and portray it. It was also the age of Henry Ford, with his assembly line churning out thousands of uniform black motor cars by the thousands at a price that the average worker could afford. The telephone, wireless telegraphy, radio, the first televisions, radium, airplanes, plastic … the world was awash with new technology.
For all its comparisons to the human brain, AI still isn’t much like us. Maybe that’s alright. In the animal kingdom, brains come in all shapes and sizes. So, in a new machine learning approach, engineers did away with the human brain and all its beautiful complexity—turning instead to the brain of a lowly worm for inspiration.
Turns out, simplicity has its benefits. The resulting neural network is efficient, transparent, and here’s the kicker: It’s a lifelong learner.
Whereas most machine learning algorithms can’t hone their skills beyond an initial training period, the researchers say the new approach, called a liquid neural network, has a kind of built-in “neuroplasticity.” That is, as it goes about its work—say, in the future, maybe driving a car or directing a robot—it can learn from experience and adjust its connections on the fly.
Continue reading “New ‘Liquid’ AI Learns Continuously From Its Experience of the World” »
