Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 2,127

The US is in danger of losing its global leadership in AI

Some argue that only a “Sputnik” moment will wake the American people and government to act with purpose, just as the 1957 Soviet launch of a satellite catalyzed new educational and technological investments. We disagree. We have been struck by the broad, bipartisan consensus in America to “get AI right” now. We are in a rare moment when challenge, urgency, and consensus may just align to generate the energy we need to extend our AI leadership and build a better future.

Congress asked us to serve on a bipartisan commission of tech leaders, scientists, and national security professionals to explore the relationship between artificial intelligence (AI) and national security. Our work is not complete, but our initial assessment is worth sharing now: in the next decade, the United States is in danger of losing its global leadership in AI and its innovation edge. That edge is a foundation of our economic prosperity, military power and ultimately the freedoms we enjoy.

As we consider the leadership stakes, we are struck by AI’s potential to propel us towards many imaginable futures. Some hold great promise; others are concerning. If past technological revolutions are a guide, the future will include elements of both.

Some of us have dedicated our professional lives to advancing AI for the benefit of humanity. AI technologies have been harnessed for good in sectors ranging from health care to education to transportation. Today’s progress only scratches the surface of AI’s potential. Computing power, large data sets, and new methods have led us to an inflection point where AI and its sub-disciplines (including machine vision, machine learning, natural language understanding, and robotics) will transform the world.

Simple machine learning scorecard for seizures is saving lives

Computer scientists from Duke University and Harvard University have joined with physicians from Massachusetts General Hospital and the University of Wisconsin to develop a machine learning model that can predict which patients are most at risk of having destructive seizures after suffering a stroke or other brain injury.

A point system they’ve developed helps determine which patients should receive expensive continuous electroencephalography (cEEG) monitoring. Implemented nationwide, the authors say their could help hospitals monitor nearly three times as many patients, saving many lives as well as $54 million each year.

A paper detailing the methods behind the interpretable machine learning approach appeared online June 19 in the Journal of Machine Learning Research.

World must prepare for biological weapons that target ethnic groups based on genetics, says Cambridge University

Biological weapons could be built which target individuals in a specific ethnic group based on their DNA, a report by the University of Cambridge has warned.

Researchers from Cambridge’s Centre for the Study of Existential Risk (CSER) said the government was failing to prepare for ‘human-driven catastrophic risks’ that could lead to mass harm and societal collapse.

In recent years advances in science such as genetic engineering, and artificial intelligence (AI) and autonomous vehicles have opened the door to a host of new threats.

This A.I. pocket device translates languages in real-time

The ONE Mini is a Swiss Army knife of translation tech, interpreting 12 different foreign languages with a host of features. The audio recorder captures speech, then uses cutting-edge neural machine AI to produce highly accurate text or verbal translations. If you’re in a foreign country, ONE Mini can literally be your voice as you navigate the culture.

ONE Mini also provides premium live interpreter service 24 hours a day, 7 days a week for conversations that require more complex interaction. With a single button push, ONE Mini connects via Bluetooth with a qualified interpreter able to offer full nuanced communication so important details don’t get lost in translation.

ONE Mini even works great as a wireless music player, clipping neatly to your clothes for hands-free use anywhere.

Singapore’s human-centric artificial intelligence strategy | The Straits Times

The national artificial intelligence strategy, which was unveiled in November, will focus on five key sectors — transport and logistics, smart cities and estates, safety and security, healthcare, and education.

Read the full story: https://www.straitstimes.com/singapore/tapping-ai-to-deliver…ect-issues

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The Straits Times, the English flagship daily of SPH, has been serving readers for more than a century. Launched on July 15, 1845, its comprehensive coverage of world news, East Asian news, Southeast Asian news, home news, sports news, financial news and lifestyle updates makes The Straits Times the most-read newspaper in Singapore.

DeepMind co-founder moves to Google as the AI lab positions itself for the future

The personnel changes at Alphabet continue, this time with Mustafa Suleyman — one of the three co-founders of the company’s influential AI lab DeepMind — moving to Google.

Suleyman announced the news on Twitter, saying that after a “wonderful decade” at DeepMind, he would be joining Google to work with the company’s head of AI Jeff Dean and its chief legal officer Kent Walker. The exact details of Suleyman’s new role are unclear but a representative for the company told The Verge it would involve work on AI policy.

The move is notable, though, as it was reported earlier this year that Suleyman had been placed on leave from DeepMind. (DeepMind disputed these reports, saying it was a mutual decision intended to give Suleyman “time out … after 10 hectic years.”) Some speculated that Suleyman’s move was the fallout of reported tensions between DeepMind and Google, as the former struggled to commercialize its technology.

Developing Deep Aging Biomarkers Using Artificial Intelligence

A type of artificial intelligence technique is now being used to develop new drugs and therapies and could perhaps even help to solve aging.

An urgent need for aging biomarkers

There has long been an urgent need in our field to develop increasingly accurate biomarkers of aging so that the efficacy of interventions can be gauged. Deep learning is one of the more recent techniques being applied in the search for aging biomarkers.

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