Posted in robotics/AI
X-ray vision has long seemed like a far-fetched sci-fi fantasy, but over the last decade a team led by Professor Dina Katabi from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has continually gotten us closer to seeing through walls.
Their latest project, “RF-Pose,” uses artificial intelligence (AI) to teach wireless devices to sense people’s postures and movement, even from the other side of a wall.
Join us at D60, DARPA’s 60th anniversary symposium, to learn from Ron Brachman about how #AI rose to prominence.
Artificial Intelligence has experienced waves of excitement before, but we have never seen the kind of worldwide enthusiasm that we see now, especially in the commercial sector, where AI has become the central mission of some of the world’s most powerful tech companies. DARPA is known for being the first supporter of AI research and panelists will highlight the impetus DARPA provided to the field’s most central technological areas, and give insights about where the field is going next.
Engineer and adventurer Richard Jenkins has made oceangoing robots that could revolutionize fishing, drilling, and environmental science. His aim: a thousand of them.
Insilico and its researchers are the first in the world to use GANs to generate molecules.
“The GAN technique is essentially an adversarial game between two deep neural networks,” as Alex explains.
While one generates meaningful noise in response to input, the other evaluates the generator’s output. Both networks thereby learn to generate increasingly perfect output.
The smallest Imperial Walker to ever attack the rebel alliance.
When it comes to matching simplicity with staggering creative potential, DNA may hold the prize. Built from an alphabet of just four nucleic acids, DNA provides the floorplan from which all earthly life is constructed.
But DNA’s remarkable versatility doesn’t end there. Researchers have managed to coax segments of DNA into performing a host of useful tricks. DNA sequences can form logical circuits for nanoelectronic applications. They have been used to perform sophisticated mathematical computations, like finding the optimal path between multiple cities. And DNA is the basis for a new breed of tiny robots and nanomachines. Measuring thousands of times smaller than a bacterium, such devices can carry out a multitude of tasks.
In new research, Hao Yan of Arizona State University and his colleagues describe an innovative DNA walker, capable of rapidly traversing a prepared track. Rather than slow, tentative steps across a surface, the DNA acrobat cartwheels head over heels, covering ground 10- to 100-fold faster than previous devices.
Companies like Eli Lilly & Co. and GlaxoSmithKline PLC are investing in automation with the hope of transforming drug discovery from an enterprise where humans do manual experiments to one where robots handle thousands of samples around the clock. This automation will be key to developing better therapies more efficiently, drug companies say, as research and development becomes more labor intensive amid the push toward more-tailored…
The danger, some experts warn, is that A.I. will run into a technical wall and eventually face a popular backlash — a familiar pattern in artificial intelligence since that term was coined in the 1950s. With deep learning in particular, researchers said, the concerns are being fueled by the technology’s limits.
A branch of A.I. called deep learning has transformed computer performance in tasks like vision and speech. But meaning, reasoning and common sense remain elusive.
