Lifeboat Foundation

Facebook is working on an artificial intelligence that it hopes could one day detect people’s emotions based on their tone of their voice, aiming to alleviate the frustrations of modern voice speaker systems such as Alexa.

Engineers at the social network’s research labs are working out how to train its voice-controlled video chat device, Portal, to understand when a user is angry, an employee said during a tech conference in San Francisco.

The system could one day be used across Facebook Messenger and WhatsApp calls, but could lead to privacy fears about the scope of the company’s data collection.

Continue reading “Facebook wants to detect when you are angry” »

Neural networks have been used to turn words that a human has heard into intelligible, recognizable speech. It could be a step toward technology that can one day decode people’s thoughts.

A challenge: Thanks to fMRI scanning, we’ve known for decades that when people speak, or hear others, it activates specific parts of their brain. However, it’s proved hugely challenging to translate thoughts into words. A team from Columbia University has developed a system that combines deep learning with a speech synthesizer to do just that.

The study: The team temporarily placed electrodes in the brains of five people scheduled to have brain surgery for epilepsy. (People who have this procedure often have implants fitted to learn more about their seizures.) The volunteers were asked to listen to recordings of sentences, and their brain activity was used to train deep-learning-based speech recognition software. Then they listened to 40 numbers being spoken. The AI tried to decode what they had heard on the basis of their brain activity—and then spoke the results out loud in a robotic voice. What the voice synthesizer produced was understandable as the right word 75% of the time, according to volunteers who listened to it. The results were published in Scientific Reports today (and you can listen to the recordings here.)

Continue reading “Brain implants, AI, and a speech synthesizer have turned brain activity into robot words” »

WASHINGTON — Boeing is on track to launch its new astronaut taxi to the International Space Station (ISS) next month.

Along with SpaceX, the private spaceflight company was contracted by NASA to begin launching astronauts from U.S. soil again for the first time since the space shuttle program ended in 2011. Boeing’s CST-100 Starliner won’t be taking any astronauts along for its first flight to the ISS, however. After docking robotically with the orbiting lab, it will return to Earth for a parachute landing in Texas.

If this test flight goes according to plan, Boeing will be ready to launch its first crew of astronauts to the space station in August, Boeing spokesperson Maribeth Davis told Space.com during a presentation of Boeing’s future vision for space travel here. [How Boeing’s Commercial CST-100 Starliner Spacecraft Works].

Continue reading “Boeing’s Starliner Spacecraft Will Be Ready for 1st Test Flight in March” »

AI farms are well suited to impoverished regions like Guizhou, where land and labor are cheap and the climate temperate enough to enable the running of large machines without expensive cooling systems. It takes only two days to train workers like Yin in basic AI tagging, or a week for the more complicated task of labeling 3D pictures.

A battle for AI supremacy is being fought one algorithm at a time.

Now, this is awesome. A stationary robot, two mobile robots, and a human cooperating to perform a task. The humanoid robot also interprets human gestures and obeys those commands.

More information: http://www.co4robots.eu/

Continue reading “Co4Robots — Milestone 2 Demonstrator” »

Another step forward in robotics self-awareness. This robot learns it’s own kinematics without human intervention and then learns to plot solution paths.

Columbia Engineering researchers have made a major advance in robotics by creating a robot that learns what it is, from scratch, with zero prior knowledge of physics, geometry, or motor dynamics. Once their robot creates a self-simulation, it can then use that self-model to adapt to different situations, to handle new tasks as well as detect and repair damage in its own body.

A saying from one of my favorite movies is, “Tie two birds together and even though they have four wings they cannot fly.” Can’t say the same about flying drones.

“We perform outdoor autonomous flying experiment of f-LASDRA, constructed with multiple ODAR-8 links connected via cable with each other. Each ODAR-8 can compensate for its own weight, rendering f-LASDRA scalable. Utilizing SCKF with IMU/GNSS-module on each link and inter-link kinematic-constraints, we attain estimation accuracy suitable for stable control (5cm: cf. 1-5m w/ GNSS).”

Continue reading “Outdoor Autonomous Flying of Flying-LASDRA with Onboard Sensing” »

Gmail’s Smart Replies automate messages, but that’s not a new idea.

Since the first Roomba came out in 2002, it has seemed inevitable that one day iRobot would develop a robotic lawn mower. After all, a robot mower is basically just a Roomba that works outside, right? Of course, it’s not nearly that simple, as iRobot has spent the last decade or so discovering, but they’ve finally managed to pull it off.

More than 10 years in the making, Terra wants to do for your lawn what Roomba has done for your floors.

Continue reading “IRobot Finally Announces Awesome New Terra Robotic Lawnmower” »