Lifeboat Foundation

Is a low-cost Israeli #ventilator the key to saving #coronavirus patients in #Iran, Africa and more?

“We are not talking about a website for the general public, we are talking about engineers and other experts, and we know the groups who are working on it because they are in touch with us via WhatsApp and emails, to ask questions and understand how to proceed,” he said.

“AmboVent” is a device inspired by the bag-valve mask ventilators that paramedics use when they’re manually ventilating patients in an ambulance, which also offers controls for respiration rate, volume, and maximum peak pressure. Organizations involved in its development include the Magen David Adom, Israeli Air Force 108 Electronics Depot; physicians from Hadassah and Tel Aviv Sourasky medical centers; Microsoft; Rafael, an Israeli defense contractor; Israeli Aerospace Industries; and mentors and students from FIRST Israel, a student robotics organization.

Continue reading “Coronavirus: Israeli researchers design low-cost open-source ventilator” »

Welcome to the twilight zone.

TOKYO (Reuters) — Spring graduation ceremonies in Japan have been cancelled because of the coronavirus pandemic, but students at one school were able to attend remotely by controlling avatar robots while logged on at home.

The robots, dubbed “Newme” by developer ANA Holdings, were dressed in graduation caps and gowns for the ceremony at the Business Breakthrough University in Tokyo.

Continue reading “Robots replace Japanese students at graduation amid coronavirus” »

AI has revealed that mice have a range of facial expressions that show they feel — offering fresh clues about how emotional responses arise in human brains.

Scientists at the Max Planck Institute of Neurobiology in Germany made the discovery by recording the faces of lab mice when they were exposed to different stimuli, such as sweet flavors and electric shocks. The researchers then used machine learning algorithms to analyze how the rodents’ faces changed when they experienced different feelings.

Circa 2017

The era of merging our minds with technology has begun. Already, we can hack the brain to treat diseases such as Parkinson’s or help paralyzed people move again. But what if you could install a chip in your head that would not only fix any health issues, but could amp up your brainpower — would you remember every word said during a meeting, finish crossword puzzles faster, drive better thanks to enhanced senses, or pick up a new language before your next trip?

That’s the future envisioned by Elon Musk, the Tesla and SpaceX CEO who recently announced Neuralink, a new company dedicated to blending human brains with computers. In Musk’s view, we’ll have to keep pace with ever-smarter artificial intelligence by implanting a “neural lace,” or sci-fi inspired machine interface that will make us smarter.

Continue reading “These brain-boosting devices could give us intelligence superpowers” »

That vision may have come a step closer after researchers at the University of California, San Francisco demonstrated that they could translate brain signals into complete sentences with error rates as low as three percent, which is below the threshold for professional speech transcription.

While we’ve been able to decode parts of speech from brain signals for around a decade, so far most of the solutions have been a long way from consistently translating intelligible sentences. Last year, researchers used a novel approach that achieved some of the best results so far by using brain signals to animate a simulated vocal tract, but only 70 percent of the words were intelligible.

The key to the improved performance achieved by the authors of the new paper in Nature Neuroscience was their realization that there were strong parallels between translating brain signals to text and machine translation between languages using neural networks, which is now highly accurate for many languages.

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” »

As of right now, Cortical’s mini-brains have less processing power than a dragonfly brain. The company is looking to get its mouse-neuron-powered chips to be capable of playing a game of “Pong,” as CEO Hon Weng Chong told Fortune, following the footsteps of AI company DeepMind, which used the game to test the power of its AI algorithms back in 2013.

“What we are trying to do is show we can shape the behavior of these neurons,” Chong told Fortune.

READ MORE: A startup is building computer chips using human neurons [Fortune].