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Category: robotics/AI – Page 2077

People are remarkably good at focusing their attention on a particular person in a noisy environment, mentally “muting” all other voices and sounds. Known as the cocktail party effect, this capability comes natural to us humans. However, automatic speech separation — separating an audio signal into its individual speech sources — while a well-studied problem, remains a significant challenge for computers.

In “Looking to Listen at the Cocktail Party”, we present a deep learning audio-visual model for isolating a single speech signal from a mixture of sounds such as other voices and background noise. In this work, we are able to computationally produce videos in which speech of specific people is enhanced while all other sounds are suppressed. Our method works on ordinary videos with a single audio track, and all that is required from the user is to select the face of the person in the video they want to hear, or to have such a person be selected algorithmically based on context. We believe this capability can have a wide range of applications, from speech enhancement and recognition in videos, through video conferencing, to improved hearing aids, especially in situations where there are multiple people speaking.

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A fierce internal debate may undermine the company’s bid for the JEDI program.

Last August, U.S. Defense Secretary James Mattis made a journey to the West Coast and met with Google founder Sergey Brin and CEO Sundar Pichai. Over a half day of meetings, Google leaders described the company’s multi-year transition to cloud computing and how it was helping them develop into a powerhouse for research and development into artificial intelligence. Brin in particular was eager to showcase how much Google was learning every day about AI and cloud implementation, according to one current and one former senior Defense Department official who spoke on condition of anonymity.

It wasn’t an overt sales pitch, exactly, say the officials. But the effect of the trip, during which Mattis also met representatives from Amazon, was transformative. He went west with deep reservations about a department-wide move to the cloud and returned to Washington, D.C., convinced that the U.S. military had to move much of its data to a commercial cloud provider — not just to manage files, email, and paperwork but to push mission-critical information to front-line operators.

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We are now on the brink of a “third revolution in warfare,” heralded by killer robots — the fully autonomous weapons that could decide who to target and kill… without human input.

Over the weekend, experts on military artificial intelligence from more than 80 world governments converged on the U.N. offices in Geneva for the start of a week’s talks on autonomous weapons systems. Many of them fear that after gunpowder and nuclear weapons, we are now on the brink of a “third revolution in warfare,” heralded by killer robots — the fully autonomous weapons that could decide who to target and kill without human input. With autonomous technology already in development in several countries, the talks mark a crucial point for governments and activists who believe the U.N. should play a key role in regulating the technology.

The meeting comes at a critical juncture. In July, Kalashnikov, the main defense contractor of the Russian government, announced it was developing a weapon that uses neural networks to make “shoot-no shoot” decisions. In January 2017, the U.S. Department of Defense released a video showing an autonomous drone swarm of 103 individual robots successfully flying over California. Nobody was in control of the drones; their flight paths were choreographed in real-time by an advanced algorithm. The drones “are a collective organism, sharing one distributed brain for decision-making and adapting to each other like swarms in nature,” a spokesman said. The drones in the video were not weaponized — but the technology to do so is rapidly evolving.

This April also marks five years since the launch of the International Campaign to Stop Killer Robots, which called for “urgent action to preemptively ban the lethal robot weapons that would be able to select and attack targets without any human intervention.” The 2013 launch letter — signed by a Nobel Peace Laureate and the directors of several NGOs — noted that they could be deployed within the next 20 years and would “give machines the power to decide who lives or dies on the battlefield.”

Continue reading “A Global Arms Race for Killer Robots Is Transforming Warfare” | >

The industry partners will use the money to train artificially intelligent laboratory robots.

Many people assume that when robots enter the economy, they’ll snatch low-skilled jobs. But don’t let a PhD fool you — AI-powered robots will soon impact a laboratory near you.

The days of pipetting liquids around were already numbered. Companies like Transcriptic, based in Menlo Park, California, now offer automated molecular biology lab work, from routine PCR to more complicated preclinical assays. Customers can buy time on their ‘robotic cloud lab’ using any laptop and access the results in a web app.

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US regulators Wednesday approved the first device that uses artificial intelligence to detect eye damage from diabetes, allowing regular doctors to diagnose the condition without interpreting any data or images.

The device, called IDx-DR, can diagnose a condition called diabetic retinopathy, the most common cause of vision loss among the more than 30 million Americans living with diabetes.

Its software uses an artificial intelligence algorithm to analyze images of the eye, taken with a retinal camera called the Topcon NW400, the FDA said.

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ESA’s Mars Express orbiter is getting a major software upgrade that will extend its service life for years to come. On Sunday, the space agency uploaded the update into the veteran deep space probe’s computers where it will remain stored in memory until a scheduled restart on April 16. If successful, it will take some of the burden off the aging gyroscopes used to keep the unmanned spacecraft’s vital high-gain radio antenna pointed at Earth.

As anyone who regularly uses digital devices can tell you, software updates are a way of life. It turns out that Mars orbiting spacecraft are no exception, with aging electronics that need new instructions to deal with worn out components after years of heavy use.

Mars Express is one of the oldest still-functioning missions to the Red Planet. Launched on June 2, 2003 atop a Soyuz-FG rocket from the Baikonur Cosmodrome, the orbiter arrived at Mars on December 25 of that year. Since then, it has spent 14 years revolving about Mars taking photographs and gathering a mountain of scientific data to send back to mission control in Darmstadt, Germany.

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Marking a new era of “diagnosis by software,” the US Food and Drug Administration on Wednesday gave permission to a company called IDx to market an AI-powered diagnostic device for ophthalmology.

What it does: The software is designed to detect greater than a mild level of diabetic retinopathy, which causes vision loss and affects 30 million people in the US. It occurs when high blood sugar damages blood vessels in the retina.

How it works: The program uses an AI algorithm to analyze images of the adult eye taken with a special retinal camera. A doctor uploads the images to a cloud server, and the software then delivers a positive or negative result.

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Artificial intelligence is being used for a dizzying array of tasks, but one of the most successful is also one of the scariest: automated surveillance. Case in point is Chinese startup SenseTime, which makes AI-powered surveillance software for the country’s police, and which this week received a new round of funding worth $600 million. This funding, led by retailing giant Alibaba, reportedly gives SenseTime a total valuation of more than $4.5 billion, making it the most valuable AI startup in the world, according to analyst firm CB Insights.

This news is significant for a number of reasons. First, it shows how China continues to pour money into artificial intelligence, both through government funding and private investment. Many are watching the competition between China and America to develop cutting-edge AI with great interest, and see investment as an important measure of progress. China has overtaken the US in this regard, although experts are quick to caution that it’s only one metric of success.

Secondly, the investment shows that image analysis is one of the most lucrative commercial applications for AI. SenseTime became profitable in 2017 and claims it has more than 400 clients and partners. It sells its AI-powered services to improve the camera apps of smartphone-makers like OPPO and Vivo; to offer “beautification” effects and AR filters on Chinese social media platforms like Weibo; and to provide identity verification for domestic finance and retail apps like Huanbei and Rong360.

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