Lifeboat Foundation

Social roboticist, Heather Knight, sees robots and entertainment a research-rich coupling. So she programmed a charming humanoid robot named DATA with jokes, and equipped it with sensors and algorithmic capabilities to help with timing and gauging a crowd. Then Knight and DATA hit the road on an international robot stand-up comedy tour. Their act landed stage time at a TED conference and Knight was profiled in Forbes 30 Under 30. Watching Data perform is much like watching an amateur stand-up comedian cutting her/his chops at an open mic night doing light comedy with a sweet but wooden delivery.

Knight’s goal is specific:

Researchers have designed a machine learning method that can predict battery health with 10x higher accuracy than current industry standard, which could aid in the development of safer and more reliable batteries for electric vehicles and consumer electronics.

The researchers, from Cambridge and Newcastle Universities, have designed a new way to monitor batteries by sending electrical pulses into them and measuring the response. The measurements are then processed by a machine learning algorithm to predict the battery’s health and useful lifespan. Their method is non-invasive and is a simple add-on to any existing battery system. The results are reported in the journal Nature Communications.

Predicting the state of health and the remaining useful lifespan of lithium-ion batteries is one of the big problems limiting widespread adoption of electric vehicles: it’s also a familiar annoyance to mobile phone users. Over time, battery performance degrades via a complex network of subtle chemical processes. Individually, each of these processes doesn’t have much of an effect on battery performance, but collectively they can severely shorten a battery’s performance and lifespan.

In order to better solve complex challenges at the dawn of the third decade of the 21st century, Alphabet Inc. has tapped into relics dating to the 1980s: video games.

The parent company of Google reported this week that its DeepMind Technologies Artificial Intelligence unit has successfully learned how to play 57 Atari video games. And the computer system plays better than any human.

Continue reading “Alphabet’s DeepMind masters Atari games” »

This is when #ai will replace humans at creative tasks. 🧠 Credit: @worldeconomicforum… Looking for a job in AI & Machine Learning. Follow us for more updates or visit: https://aijobs.com/

#aijobs #artificialintelligence #datascience #IoT #AIoT #robot #robots #deeplearning #robotics #tecnologia #cybersecurity #aiskills #artificialintelligenceai #machinelearning #machinelearningalgorithms #futuretechnology #ML #computerengineer #codinglife #coding #programmerlife #VR #technologies #techie

A Google interview candidate recently asked me: “What are three big science questions that keep you up at night?” This was a great question because one’s answer reveals so much about one’s intellectual interests — here are mine:

Q1: Can we imitate “thinking” from only observing behavior?

Suppose you have a large fleet of autonomous vehicles with human operators driving them around diverse road conditions. We can observe the decisions made by the human, and attempt to use imitation learning algorithms to map robot observations to the steering decisions that the human would take.

IBM quantum computer runs machine-learning algorithm to find Higgs events.

Researchers at UCSF have trained an algorithm to parse meaning from neural activity.

Ai-Da is the world’s first ultra-realistic artist robot powered by AI and named after Ada Lovelace, the first female computer programmer in the world. She is a humanoid with human facial features and a robotic body created by the Oxfordians, a group of cutting-edge art and technology experts. Embedded with a groundbreaking algorithm, she has taken the scientific and art world by surprise, now becoming an intense subject of conversation in over 900 publications worldwide. She has already collaborated with Tate Exchange and WIRED at the Barbican, Ars Electronica, and will be performing at the Louvre Abu-Dhabi later this year.

Here, she discusses what it means to identify as a creative without a consciousness with Futurist Geraldine Wharry.

Continue reading “Meet Ai-Da, the world’s first AI artist, who is almost human” »

2007…

Imagine a weapon that creates sound that only you can hear. Science fiction? No, this is one area that has a very solid basis in reality. The Air Force has experimented with microwaves that create sounds in people’s head (which they’ve called a possible psychological warfare tool), and American Technologies can “beam” sounds to specific targets with their patented HyperSound (and yes, I’ve heard/seen them demonstrate the speakers, and they are shockingly effective).

Now the Defense Advanced Research Projects Agency is jumping on the bandwagon with their new “Sonic Projector” program:

Continue reading “A Voice Only You Can Hear: DARPA’s Sonic Projector” »