Lifeboat Foundation

Chipmaker Nvidia is acquiring DeepMap, the high-definition mapping startup announced. The company said its mapping IP will help Nvidia’s autonomous vehicle technology sector, Nvidia Drive.

“The acquisition is an endorsement of DeepMap’s unique vision, technology and people,” said Ali Kani, vice president and general manager of Automotive at Nvidia, in a statement. “DeepMap is expected to extend our mapping products, help us scale worldwide map operations and expand our full self-driving expertise.”

One of the biggest challenges to achieving full autonomy in a passenger vehicle is achieving proper localization and updated mapping information that reflects current road conditions. By integrating DeepMap’s tech, Nvidia’s autonomous stack should have greater precision, giving the vehicle enhanced abilities to locate itself on the road.

Do you want to work for Tesla remotely and test its latest Autopilot and Full Self-Driving features? You may be in luck as we learn that the automaker is now looking to hire self-driving car test drivers around the world.

You don’t even need a college education.

When it comes to Autopilot and Full Self-Driving package features, people often say that Tesla’s own paying customers are the testers and that’s mostly true, but the automaker also does plenty of internal testing.

The American HiRise camera pictures the six-wheeled robot moving away from its landing platform.

https://youtube.com/watch?v=sRSNeGXTj6Q

With launch just five years away, the Gateway Exploration Robotics System — better known as Canadarm3 — has arrived at a critical point where its artificial intelligence system must be properly calibrated to meet the rigorous autonomous demands the Lunar Gateway project will impose upon it.

The AI solutions sought for Canadarm3’s vision by MDA and the Canadian Space Agency (CSA) largely relate to obstacle avoidance to prevent the arm from bumping into other structures on the lunar outpost and how to work with issues like prolonged communications blackouts and less-than-optimal lighting conditions — both of which must be overcome for the Gateway.

Continue reading “Canadarm3 collision avoidance AI solutions sought as operational needs solidify” »

The growing population of avatars that use AI smarts to interact with us is a major clue.

In the fictional worlds of film and TV, artificial intelligence has been depicted as so advanced that it is indistinguishable from humans. But what if we’re actually getting closer to a world where AI is capable of thinking and feeling?

Tech company UneeQ is embarking on that journey with its “digital humans.” These avatars act as visual interfaces for customer service chatbots, virtual assistants, and other applications. UneeQ’s digital humans appear lifelike not only in terms of language and tone of voice, but also because of facial movements: raised eyebrows, a tilt of the head, a smile, even a wink. They transform a transaction into an interaction: creepy yet astonishing, human, but not quite.

Continue reading “Are Digital Humans the Next Step in Human-Computer Interaction?” »

Summary: A new deep neural network can accurately predict a healthy person’s brain age based on EEG data collected from a sleep study.

Source: AASM

A study shows that a deep neural network model can accurately predict the brain age of healthy patients based on electroencephalogram data recorded during an overnight sleep study, and EEG-predicted brain age indices display unique characteristics within populations with different diseases.

**A team of researchers affiliated with institutions in Singapore, China, Germany and the U.K., has developed an insect-computer hybrid system for use in search operations after disasters strike. **They have written a paper describing their system, now posted on the arXiv preprint server.

Because of the frequency of natural disasters such as earthquakes, fires and floods, scientists have been looking for better ways to help victims trapped in the rubble–people climbing over wreckage is both hazardous and inefficient. The researchers noted that small creatures such as insects move much more easily under such conditions and set upon the task of using a type of cockroach as a searcher to assist human efforts.

The system they came up with merges microtechnology with the natural skills of a live Madagascar hissing cockroach. These cockroaches are known for their dark brown and black body coloring and, of course, for the hissing sound they make when upset. They are also one of the few wingless cockroaches, which made them a good candidate for carrying a backpack.

Continue reading “An insect-computer hybrid system for search operations in disasters” »

Google claims that it has developed artificial intelligence software that can design computer chips faster than humans can.

The tech giant said in a paper in the journal Nature on Wednesday that a chip that would take humans months to design can be dreamed up by its new AI in less than six hours.

The AI has already been used to develop the latest iteration of Google’s tensor processing unit chips, which are used to run AI-related tasks, Google said.

The Hong Kong team behind celebrity humanoid robot Sophia is launching a new prototype, Grace, targeted at the healthcare market and designed to interact with the elderly and those isolated by the COVID-19 pandemic.

#RobotGrace #RobotSophia #HumanoidRobot.

Continue reading “Meet Grace, the healthcare robot COVID-19 created | Celebrity Humanoid Robot Sophia | Robot Nurse” »