Turning to AI to save endangered languages

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Group of Yugambeh Aboriginal warriors dance.

As languages are becoming extinct at an alarming rate, speakers of endangered languages are turning to technology in a race against time to pass on their unique languages and cultures to the next generation.

The United Nations has declared 2019 as the International Year of Indigenous Languages in an effort to promote awareness of the plight of languages that are in danger of disappearing. “Through language, people preserve their community’s history, customs and traditions, memory, unique modes of thinking, meaning and expression. They also use it to construct their future. Language is pivotal in the areas of human rights protection, good governance, peace building, reconciliation, and sustainable development”: all core aspects of the United Nations’ Sustainable Development Goals (SDGs).

Thanks to the benefits of artificial intelligence for language documentation and learning, AI is becoming more important than ever in the fight to save endangered languages.

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In a major breakthrough, Google unveils an AI that learns on its own

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Surpassing The Masters

We’ve written before about how Google is one of the most prominent tech companies leading the way when it comes to the development of artificial intelligence. As each month passes, its AI division, DeepMind, continues to reveal increasingly advanced AI capabilities, especially when it comes to AlphaGo.

This particular AI is most well-known for mastering the ancient Chinese game of Go…and subsequently defeating 18-time world champion Lee Se-dol, which happened just last year.

Since then, DeepMind has started adding imagination to its AI, and they also used gaming to teach the AI how to better manage tasks. AlphaGo even went on to defeat another top go player, Ke Jie, once again showing off its (potentially) unlimited potential to learn.

Continue reading… “In a major breakthrough, Google unveils an AI that learns on its own”

Google just launched new AI-powered algorithms

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Search engine now returns answers instead of just links.

Training The Network

Today, if you ask the Google search engine on your desktop a question like “How big is the Milky Way,” you’ll no longer just get a list of links where you could find the answer — you’ll get the answer: “100,000 light years.”

While this question/answer tech may seem simple enough, it’s actually a complex development rooted in Google’s powerful deep neural networks. These networks are a form of artificial intelligence that aims to mimic how human brains work, relating together bits of information to comprehend data and predict patterns.

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This AI outperformed 20 corporate lawyers at legal work

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Technology is revolutionizing the work we do and how we do it. Increasingly, artificial intelligence (AI) and robots are taking over menial and repetitive tasks, leaving humans to concentrate on work that requires critical thinking.

But as machines become better at imitating human intelligence, they’re beginning to do more and more thinking for us.

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Using Artificial Intelligence to fix healthcare

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Surgery filmed in 360° and live-streamed to remote doctors could already be happening in a hospital near you.

The healthcare industry should be using Artificial Intelligence (AI) to a far greater degree than at present, but progress has been painfully slow. The same factors that make the healthcare system so attractive to AI developers – fragmented or non-existent data repositories, outdated computer systems and doctor shortages – are the same things that have stopped AI from providing the gains that should be created.

The healthcare sector also presents unique obstacles for AI: data must flow freely through AI systems to achieve real results, but extracting data from handwritten patient files or PDFs is cumbersome for us, and difficult for AI. Despite technical and operational challenges, new research suggests that the arrival of the tech giants into the industry may provide the data and the capital required to digitize this fairly untapped market.

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Chinese ‘Gait Recognition’ tech ID’s people by how they walk

CHINESE ‘GAIT RECOGNITION’ TECH IDS PEOPLE BY HOW THEY WALK

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In this Oct. 31, 2018, photo, Huang Yongzhen, CEO of Watrix, demonstrates the use of his firm’s gait recognition software at his company’s offices in Beijing. A Chinese technology startup hopes to begin selling software that recognizes people by their body shape and how they walk, enabling identification when faces are hidden from cameras. Already used by police on the streets of Beijing and Shanghai, “gait recognition” is part of a major push to develop artificial-intelligence and data-driven surveillance across China, raising concern about how far the technology will go. (AP Photo/Mark Schiefelbein)

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How small robots may kill the tractor and make farming efficient

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The Bristol-based Small Robot Company has created a series of agile robots for farming. By being customisable they could help to replace the tractor

Agriculture has a reputation of being stuck in the past. In reality, for farmers, their workplaces are a fertile testbed for innovative technology – they were among the first to embrace commercial drone use, and autonomous vehicles that could work effectively (and safely) in confined areas of farmland. Among the latest developments in agri-tech are small, farming robots that can improve crop yield and reduce farming’s impact on the environment.

Continue reading… “How small robots may kill the tractor and make farming efficient”

Deep learning algorithm detects Alzheimer’s up to six years before doctors

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A new algorithm significantly outperformed human clinicians in predicting which patients would go on to develop Alzheimer’s disease.

A powerful new deep learning algorithm has been developed that can study PET scan images and effectively detect the onset of Alzheimer’s disease up to six years earlier than current diagnostic methods.

The research is part of a new wave of work using machine learning technology to identify subtle patterns in complex medical imaging data that human clinicians are unable to pick up. Continue reading… “Deep learning algorithm detects Alzheimer’s up to six years before doctors”

Artificial Intelligence will be the greatest jobs engine the world has ever seen

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Fears that AI will make many types of workers unemployable are unfounded.

In the past few years, artificial intelligence has advanced so quickly that it now seems that hardly a month goes by without a newsworthy AI breakthrough. In areas as wide-ranging as speech translation, medical diagnosis and game play, we have seen computers outperform humans in startling ways. This has sparked a discussion about what impact AI will have on employment.

Some fear that as AI improves, it will supplant workers in the job force, creating an ever-growing pool of unemployable humans who cannot economically compete with machines in any meaningful way. This concern, while understandable, is unfounded.

Continue reading… “Artificial Intelligence will be the greatest jobs engine the world has ever seen”

Artificial Intelligence is not a technology

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People have long dreamed of the idea of machines having the intelligence and capabilities of humans. From the early Greek myths of Hephaestus and his automatons to the Golem of Eastern European Jewish tradition to well over a hundred years of science fiction stories, novels and movies, our human imaginations have envisioned what it would be like to have sentient, intelligent, human-like machines co-exist with us. In 1920 Karel Čapek’s play R.U.R. (Rossum’s Universal Robots) first coined the word “robot” and gave us a name to give to the creations of our imaginations. In many ways, the quest for the intelligent machine lead to the development of the modern computer. Ideas by Alan Turing not only formulated the basis of programmable machines, but also the core of the concepts of artificial intelligence, with the namesake Turing Test providing a means for evaluating intelligent machines.

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Digital immortality: How your life’s data means a version of you could live forever

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Your family and friends will be able to interact with a digital “you” that doles out advice—even when you’re gone.

Hossein Rahnama knows a CEO of a major financial company who wants to live on after he’s dead, and Rahnama thinks he can help him do it.

Rahnama is creating a digital avatar for the CEO that they both hope could serve as a virtual “consultant” when the actual CEO is gone. Some future company executive deciding whether to accept an acquisition bid might pull out her cell phone, open a chat window, and pose the question to the late CEO. The digital avatar, created by an artificial-intelligence platform that analyzes personal data and correspondence, might detect that the CEO had a bad relationship with the acquiring company’s execs. “I’m not a fan of that company’s leadership,” the avatar might say, and the screen would go red to indicate disapproval.

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AI is already changing the agriculture landscape – starting with strawberries

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Meet Agrobot, an autonomous robotic harvester that’s poised to revolutionize the agriculture industry. Agrobot works with the world’s leading farmers to automate berry harvesting through the power of artificial intelligence.

Agrobot uses deep learning to determine when to pick fruit at its ripest. Up to 24 robotic arms grip and cut the fruit from its stem to meet the farmer’s quality standards. Agrobot uses a 3D sensing scanner with short-range integrated color and infrared depth sensors to capture the details and identify when fruit is ready for the picking.

Continue reading… “AI is already changing the agriculture landscape – starting with strawberries”

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