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Category: information science – Page 301

We analyzed 16,625 papers to figure out where AI is headed next

Almost everything you hear about artificial intelligence today is thanks to deep learning. This category of algorithms works by using statistics to find patterns in data, and it has proved immensely powerful in mimicking human skills such as our ability to see and hear. To a very narrow extent, it can even emulate our ability to reason. These capabilities power Google’s search, Facebook’s news feed, and Netflix’s recommendation engine—and are transforming industries like health care and education.

Our study of 25 years of artificial-intelligence research suggests the era of deep learning is coming to an end.

AI Helps Amputees Walk With a Robotic Knee

A movie montage for modern artificial intelligence might show a computer playing millions of games of chess or Go against itself to learn how to win. Now, researchers are exploring how the reinforcement learning technique that helped DeepMind’s AlphaZero conquer chess and Go could tackle an even more complex task—training a robotic knee to help amputees walk smoothly.

Computer algorithms help prosthetics wearers walk within minutes rather than requiring hours of training.

Can AI Really Be a Game Changer in Cervical Cancer Screenings?

An artificial intelligence solution (AI) can accurately identify precancerous changes that could require medical attention in images from a woman’s cervix. Researchers from the National Institutes of Health and Global Good developed the computer algorithm, which is called automated visual evaluation.

Researchers created the algorithm by using more than 60,000 cervical images from a National Cancer Institute (NCI) archive of photos collected during a cervical cancer screening study that was carried out in Costa Rica in the 1990s.

More than 9,400 women participated in that population study, with follow up that lasted up to 18 years. Because of the prospective nature of the study, the researchers said that they gained nearly complete information on which cervical changes became pre-cancers and which did not.

AI Finds Traces of a Lost Species in Human DNA

Buried deep within the DNA of Asian individuals is a genetic clue pointing to the existence of an unknown human ancestor. Remarkably, it wasn’t a human who reached this startling conjecture, but rather an artificially intelligent algorithm. Welcome to archaeology in the 21st century.

New research published last week in Nature Communications suggests a yet-to-be discovered hominid interbred with modern humans tens of thousands of years ago. This mystery species eventually went extinct, but an AI developed by researchers from the Institute of Evolutionary Biology (IBE) and several other European institutions found traces of its existence in the DNA of present-day people with Asian ancestry. A press release issued by the Centre for Genomic Regulation said it’s the first time deep learning has been used to explain human history, “paving the way for this technology to be applied in other questions in biology, genomics and evolution.”

Here’s what everyone will be talking about at Davos in 2020 and beyond

The theme for this year’s gathering is Globalization 4.0 – how we’re handling the changes wrought on the world by the increasing interconnectedness of cultures and economies.

We must also reckon with the future. Digitization, Big Data, and the migration of IT services to the cloud are driving change now but we’re also starting to see the opportunities that will lead to Globalization 5.0.

These are the themes that will dominate the Davos gatherings of the future, says General Atlantic’s Bill Ford.

BrainRobotics’ EMG Controlled Prosthetic Hand

Here is another advanced prosthetic device that can make life easier for amputees. BrainRobotics’ EMG Prosthetic Hand features a modular mechanical design. It comes with 8 signal detection channels for precise EMG readings. An advanced machine learning algorithm is used to allow users to intuitively control this robotic prosthesis.

More like this ➡️ here.

Blockchain: 6 Key Ethical Considerations

Blockchain shows major potential to drive positive change across a wide range of industries. Like any disruptive technology, there are ethical considerations that must be identified, discussed, and mitigated as we adopt and apply this technology, so that we can maximize the positive benefits, and minimize the negative side effects.

Own Your Data

For decades we have sought the ability for data subjects to own and control their data. Sadly, with massive proliferation of centralized database silos and the sensitive personal information they contain, we have fallen far short of data subjects having access to, let alone owning or controlling their data. Blockchain has the potential to enable data subjects to access their data, review and amend it, see reports of who else has accessed it, give consent or opt-in / opt-out of data sharing, and even request they be forgotten and their information be deleted.

Monetize Your Data

Continue reading “Blockchain: 6 Key Ethical Considerations” | >

The Stolyarov-Kurzweil Interview has been released at last!

Watch it here: https://www.youtube.com/watch?v=10dFgrjdfqY

I posed a wide array of questions for inventor, futurist, and Singularitarian Dr. Ray Kurzweil on September 21, 2018, at RAAD Fest 2018 in San Diego, California. Topics discussed include advances in robotics and the potential for household robots, artificial intelligence and overcoming the pitfalls of AI bias, the importance of philosophy, culture, and politics in ensuring that humankind realizes the best possible future, how emerging technologies can protect privacy and verify the truthfulness of information being analyzed by algorithms, as well as insights that can assist in the attainment of longevity and the preservation of good health – including a brief foray into how Ray Kurzweil overcame his Type 2 Diabetes.

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