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Category: information science

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 to predict the ’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 : 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.

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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 plays better than any human.

Atari, creator of Pong, one of the first successful video games of the 1970s, went on to popularize many of the great early classic video games into the 1990s. Video games are commonly used with AI projects because they algorithms to navigate increasingly complex paths and options, all while encountering changing scenarios, threats and rewards.

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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

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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.

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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.

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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).

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

The goal of the Sonic Projector program is to provide Special Forces with a method of surreptitious audio communication at distances over 1 km. Sonic Projector technology is based on the non-linear interaction of sound in air translating an ultrasonic signal into audible sound. The Sonic Projector will be designed to be a man-deployable system, using high power acoustic transducer technology and signal processing algorithms which result in no, or unintelligible, sound everywhere but at the intended target. The Sonic Projector system could be used to conceal communications for special operations forces and hostage rescue missions, and to disrupt enemy activities.

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Quantum computers will revolutionize information technology, ushering in an era where certain types of calculations will be performed with almost unimaginable speed. Practical applications will include healthcare disciplines such as molecular biology and drug discovery; big data mining; financial services such as portfolio analysis and fraud detection; and artificial intelligence and machine learning.

The federal government is helping to create an environment in which quantum computing innovation and experimentation can flourish. The National Quantum Initiative Act puts $1.2 billion into the quantum research budgets of the Energy Department, the National Institute of Standards and Technology, NASA and the National Science Foundation. The law also outlines a 10-year plan to accelerate the development of quantum information science and technology applications.

Meanwhile, The White House’s Office of Science and Technology Policy is working to ensure that economic growth opportunities and opportunities for improving the world are baked into quantum policies and systems.

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A new blood test that can detect methylation of DNA can accurately predict whether a person has any one of 50 cancers and where the tumour is growing.

The California-based healthcare company Grail, which developed the test, owns a large database of methylation patterns in cancerous and non-cancerous cell-free DNA. From that repository, a machine learning program was developed to analyse blood samples. The algorithm identified methylation changes that are classified as cancerous or non-cancerous, and it could even pinpoint the tissue of origin before the onset of symptoms.

Validation of the test was carried out by researchers from the US at the Mayo Clinic, Cleveland Clinic and Harvard medical school, working with colleagues at the Francis Crick Institute and University College London in the UK. In all, more than 15,000 volunteers from over 140 clinics in North America took part, and their samples revealed that this ‘liquid biopsy’ had a 0.7% false positive rate for cancer detection. The test was also able to predict the tissue that the cancer originated in with more than 90% accuracy. It performed best on 12 of the most common cancers, including ones that are most lethal and have no established screening paradigms such as pancreatic and ovarian cancers.

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