- 12/2018 Alibaba already has a voice assistant way better than Google's It navigates interruptions and other tricky features of human conversation to field millions of requests a day.
12/2018 2018 in review: 10 AI failures
Last December Synced compiled its first “Artificial Intelligence Failures” recap of AI gaffes from the previous year. AI has achieved remarkable progress, and many scientists dream of creating the Master Algorithm proposed by Pedro Domingos — which can solve all problems envisioned by humans. It’s unavoidable however that researchers, fledgling technologies and biased data will also produce blunders not envisioned by humans.
12/2018 Why robot brains need symbols
Nowadays, the words “artificial intelligence” seem to be on practically everyone’s lips, from Elon Musk to Henry Kissinger. At least a dozen countries have mounted major AI initiatives, and companies like Google and Facebook are locked in a massive battle for talent. Since 2012, virtually all the attention has been on one technique in particular, known as deep learning, a statistical technique that uses sets of of simplified “neurons” to approximate the dynamics inherent in large, complex collections of data. Deep learning has powered advances in everything from speech recognition and computer chess to automatically tagging your photos. To some people, it probably seems like “superintelligence”—machines vastly more intelligent than people—are just around the corner.
The image shows the process by which an AI tool analyzes a slice of cancerous tissue to create a map that tells apart two lung cancer types which require different treatments, with squamous cell carcinoma in red, lung squamous cell carcinoma in blue, and normal lung tissue in gray.
For the past year, we’ve compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0.3% chance).
This is an extremely competitive list and it carefully picks the best open source Machine Learning libraries, datasets and apps published between Janury and December 2017. Mybridge AI evaluates the quality by considering popularity, engagement and recency. To give you an idea about the quality, the average number of Github stars is 3,558.
The quest to give machines a mind of their own occupied the brightest AI specialists in 2017. Machine learning (and especially the newly hip branch, deep learning) practically delivered all of the most stunning achievements in artificial intelligence so far — from systems that beat us at our own games to art-producing neural networks that rival human creativity.
Artificial Intelligence is among us, and has useful applications. AI is the new electricity, and will transform every industry. Domain specific AI, and augmented intelligence may be the rise of new market verticals. Augmented intelligence may find solutions where we were unable or unwilling to. Without realizing it, we already use multiple forms of AI. In search we utilize machine learning, natural language processing, and image recognition.
The time between calling 911 and the ambulance arriving can be critical for saving heart attack victims, but the person on the phone may not know what’s happening: this AI parses non-verbal clues to help diagnose from a distance.
A new model can detect abnormalities in x-rays better than radiologists—in some parts of the body, anyway.
The results: Stanford researchers trained a convolutional neural network on a data set of 40,895 images from 14,982 studies. The paper documents how the algorithm detected abnormalities (like fractures, or bone degeneration) better than radiologists in finger and wrist radiographs. However, radiologists were still better at spotting issues in elbows, forearms, hands, upper arms, and shoulders.
01/2018 Precision Medicine Initiative
The All of Us Research Program (formerly the Precision Medicine Initiative® Cohort Program) is a landmark longitudinal research study funded by the National Institutes of Health (NIH). It aims to engage 1 million or more U.S. participants to improve the ability to prevent and treat disease based on individual differences in lifestyle, environment and genetics.
Stanford researchers have developed a machine-learning algorithm that can diagnose pneumonia from a chest x-ray better than a human radiologist can. And it learned how to do so in just about a month.
Today at F8, Facebook revealed it has a team of 60 engineers working on building a brain-computer interface that will let you type with just your mind without invasive implants. The team plans to use optical imaging to scan your brain a hundred times per second to detect you speaking silently in your head, and translate it into text.
Students didn't know their Teaching Assistant was a computer.
Computers have already beaten us at chess, Jeopardy and Go, the ancient board game from Asia. And now, in the raging war with machines, human beings have lost yet another battle — over typing.
If humans can't understand why AI systems make certain decisions, they probably won't trust them.
- 08/2016 Ce robot-trader qui a battu le marché lors du Brexit
- 08/2016 AIs fight to the death in 'Doom' contest next month ViZDoom is an example of the AI community's collaborative spirit.
- 07/2016 Tougher Turing Test Exposes Chatbots’ Stupidity - MIT Technology Review
Tougher Turing Test Exposes Chatbots’ Stupidity We have a long way to go if we want virtual assistants to understand us.
Who said that chat bots were gimmicks? Certainly not DoNotPay's Joshua Browder. He recently noted to VentureBeat that his service's AI-driven virtual lawyer has successfully contested 160,000 parking tickets in London and New York City in nearly 2 years of service, saving drivers millions in the process.
Great strides have been made in remote-operated Unmanned Combat Aerial Vehicles (UCAVS), mostly in terms of ground strike capabilities. However when only millisecond timeframes are allowed for critical decisions to be made, any delay in communications and control severely weakens the combat capability of the system. While some proponents of autonomy focus on the ability to design aircraft that can perform maneuvers no human pilot would maintain consciousness through, or the simple fact those pilots' lives would no longer be at risk, these are not the only benefits these systems can provide. With an average human visual reaction time of 0.15 to 0.30 seconds, and an even longer time to compute optimal plans and coordinate them with squad mates; this offers a huge window of improvement that an Intelligent Agent (IA) can capitalize upon.
- 06/2015 Google made a chatbot that debates the meaning of life
L'équipe de Taezoon Park, du programme de recherche d'ingénierie des facteurs humains à Singapour, a construit deux robots, rapporte le Boston Globe. L'un était une infirmière conçue pour prendre la tension et prendre rendez-vous avec un médecin, l'autre un système de surveillance. Dans leur expérience, les chercheurs ont donné deux personnalités différentes à chaque robot.
A FEW MONTHS ago I made the trek to the sylvan campus of the IBM research labs in Yorktown Heights, New York, to catch an early glimpse of the fast-arriving, long-overdue future of artificial intelligence. This was the home of Watson, the electronic genius that conquered Jeopardy! in 2011.
Following the recent news that a company is ready to unveil its first sentient computer, it now transpires that artificial intelligence is already being used to control humans, on the Hong Kong subway.
With the Hollywood blockbuster Transcendence playing in cinemas, with Johnny Depp and Morgan Freeman showcasing clashing visions for the future of humanity, it's tempting to dismiss the notion of highly intelligent machines as mere science fiction. But this would be a mistake, and potentially our worst mistake in history.
01/2014 Google acquires DeepMind
Google will buy London-based artificial intelligence company DeepMind. The Information reports that the acquisition price was more than $500 million, and that Facebook was also in talks to buy the startup late last year. DeepMind confirmed the acquisition to us, but couldn’t disclose deal terms.
- 09/2013 Big Budget AI is back!
Ever since computers came about, futurists and science fiction authors have been imagining a world in which thinking machines can best the frail human brain. Over the decades it has become apparent that simply throwing more processor cycles at the problem of true artificial intelligence isn’t going to cut it. A brain is orders of magnitude more complex than any AI system developed thus far, but some are getting closer. ConceptNet 4, an AI developed at MIT, was recently put through a standard IQ test given to young children. The result? ConceptNet 4 is a slightly odd four-year-old child.
Until task management software can literally think for you, it’ll always be cumbersome to use.
In case you weren't aware, machines are now reading the news. Actually, a few thousand machines—probably more—may have already read and scanned what you're about to read for any hint of tradable information. Of course, this isn't just limited to blogs or news disseminated on the web, but social media too.
04/2011 Crowdsource your health
You can use your smartphone to find a local ATM, but what if you need a defibrillator? Lucien Engelen shows us online innovations that are changing the way we save lives, including a crowdsourced map of local AEDs. TEDxMaastricht
- 06/2010 AI That Picks Stocks Better Than the Pros