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‘AI’ to hit hardest in U.S. heartland and among less-skilled: study

WASHINGTON (Reuters) – The Midwestern states hit hardest by job automation in recent decades, places that were pivotal to U.S. President Donald Trump’s election, will be under the most pressure again as advances in artificial intelligence reshape the workplace, according to a new study by Brookings Institution researchers.

The spread of computer-driven technology into middle-wage jobs like trucking, construction, and office work, and some lower-skilled occupations like food preparation and service, will also further divide the fast-growing cities where skilled workers are moving and other areas, and separate the high- skilled workers whose jobs are less prone to automation from everyone else regardless of location, the study found.

But the pain may be most intense in a familiar group of manufacturing-heavy states like Wisconsin, Ohio and Iowa, whose support swung the U.S. electoral college for Trump, a Republican, and which have among the largest share of jobs, around 27 percent, at “high risk” of further automation in coming years.

At the other end, solidly Democratic coastal states like New York and Maryland had only about a fifth of jobs in the high-risk category.

The findings suggest the economic tensions that framed Trump’s election may well persist, and may even be immune to his efforts to shift global trade policy in favor of U.S. manufacturers.

“The first era of digital automation was one of traumatic change…with employment and wage gains coming only at the high and low ends,” authors including Brookings Metro Policy Program director Mark Muro wrote of the spread of computer technology and robotics that began in the 1980s. “That our forward-looking analysis projects more of the same…will not, therefore, be comforting.”

The study used prior research from the McKinsey Global Institute that looked at tasks performed in 800 occupations, and the proportion that could be automated by 2030 using current technology.

While some already-automated industries like manufacturing will continue needing less labor for a given level of output – the “automation potential” of production jobs remains nearly 80 percent – the spread of advanced techniques means more jobs will come under pressure as autonomous vehicles supplant drivers, and smart technology changes how waiters, carpenters and others do their jobs.

That would raise productivity – a net plus for the economy overall that could keep goods cheaper, raise demand, and thus help create more jobs even if the nature of those jobs changes.

But it may pose a challenge for lower-skilled workers in particular as automation spreads in food service and construction, industries that have been a fallback for many.

“This implies a shift in the composition of the low-wage workforce” toward jobs like personal care, with an automation potential of 34 percent, or building maintenance, with an automation potential of just 20 percent, the authors wrote.

(Reporting by Howard Schneider; Editing by Andrea Ricci)

Pentagon looks to exoskeletons to build ‘super-soldiers’

Keith Maxwell, Senior Product Manager of Exoskeleton Technologies at Lockheed Martin, demonstrates an Exoskeleton during a Exoskeleton demonstration and discussion, in Washington, U.S., November 29, 2018. REUTERS/Al Drago

By Phil Stewart

WASHINGTON (Reuters) – The U.S. Army is investing millions of dollars in experimental exoskeleton technology to make soldiers stronger and more resilient, in what experts say is part of a broader push into advanced gear to equip a new generation of “super-soldiers.”

The technology is being developed by Lockheed Martin Corp with a license from Canada-based B-TEMIA, which first developed the exoskeletons to help people with mobility difficulties stemming from medical ailments like multiple sclerosis and severe osteoarthritis.

Worn over a pair of pants, the battery-operated exoskeleton uses a suite of sensors, artificial intelligence and other technology to aid natural movements.

For the U.S. military, the appeal of such technology is clear: Soldiers now deploy into war zones bogged down by heavy but critical gear like body armor, night-vision goggles and advanced radios. Altogether, that can weigh anywhere from 90 to 140 pounds (40-64 kg), when the recommended limit is just 50 pounds (23 kg).

“That means when people do show up to the fight, they’re fatigued,” said Paul Scharre at the Center for a New American Security (CNAS), who helped lead a series of studies on exoskeletons and other advanced gear.

“The fundamental challenge we’re facing with infantry troops is they’re carrying too much weight.”

Lockheed Martin said on Thursday it won a $6.9 million award from the U.S. Army Natick Soldier Research, Development and Engineering Center to research and develop the exoskeleton, called ONYX, under a two-year, sole-source agreement.

Keith Maxwell, Senior Product Manager of Exoskeleton Technologies at Lockheed Martin, speaks during a Exoskeleton demonstration and discussion, in Washington, U.S., November 29, 2018. REUTERS/Al Drago

Keith Maxwell, Senior Product Manager of Exoskeleton Technologies at Lockheed Martin, speaks during an Exoskeleton demonstration and discussion, in Washington, U.S., November 29, 2018. REUTERS/Al Drago

Keith Maxwell, the exoskeleton technologies manager at Lockheed Martin Missiles and Fire Control, said people in his company’s trials who wore the exoskeletons showed far more endurance.

“You get to the fight fresh. You’re not worn out,” Maxwell said.

Maxwell, who demonstrated a prototype, said each exoskeleton was expected to cost in the tens of thousands of dollars.

B-TEMIA’s medically focused system, called Keeogo, is sold in Canada for about C$39,000 ($30,000), company spokeswoman Pamela Borges said.

The United States is not the only country looking at exoskeleton technology.

Samuel Bendett at the Center for Naval Analyses, a federally funded U.S. research and development center, said Russia and China were also investing in exoskeleton technologies, “in parallel” to the U.S. advances.

Russia, in particular, was working on several versions of exoskeletons, including one that it tested recently in Syria, Bendett said.

The CNAS analysis of the exoskeleton was part of a larger look by the Washington-based think tank at next-generation technologies that can aid soldiers, from better helmets to shield them from blast injuries to the introduction of robotic “teammates” to help resupply them in war zones.

(Reporting by Phil Stewart; Editing by Peter Cooney)

U.S. tech giants eye Artificial Intelligence key to unlock China push

A Google sign is seen during the WAIC (World Artificial Intelligence Conference) in Shanghai, China, September 17, 2018. REUTERS/Aly Song

By Cate Cadell

SHANGHAI (Reuters) – U.S. technology giants, facing tighter content rules in China and the threat of a trade war, are targeting an easier way into the world’s second-largest economy – artificial intelligence.

Google, Microsoft Inc and Amazon Inc showcased their AI wares at a state-backed forum held in Shanghai this week against the backdrop of Beijing’s plans to build a $400 billion AI industry by 2025.

China’s government and companies may compete against U.S. rivals in the global AI race, but they are aware that gaining ground won’t be easy without a certain amount of collaboration.

“Hey Google, let’s make humanity great again,” Tang Xiao’ou, CEO of Chinese AI and facial recognition unicorn Sensetime, said in a speech on Monday.

Amazon and Microsoft announced plans on Monday to build new AI research labs in Shanghai. Google also showcased a growing suite of China-focused AI tools at its packed event on Tuesday.

Google in the past year has launched AI-backed products including a translate app and a drawing game, its first new consumer products in China since its search engine was largely blocked in 2010.

The World Artificial Intelligence Conference, which ends on Wednesday, is hosted by China’s top economic planning agency alongside its cyber and industry ministries. The conference aims to show the country’s growing might as a global AI player.

China’s ambition to be a world leader in AI has created an opening for U.S. firms, which attract the majority of top global AI talents and are keen to tap into China’s vast data.

The presence of global AI research projects is also a boon for China, which aims to become a global technology leader in the next decade.

Liu He, China’s powerful vice premier and the key negotiator in trade talks with the United States, said his country wanted a more collaborative approach to AI technology.

“As members of a global village, I hope countries can show inclusive understanding and respect for each other, deal with the double-sword technologies can bring, and embrace AI challenges together,” he told the forum.

Beijing took an aggressive stance when it laid out its AI roadmap last year, urging companies, the government and military to give China a “competitive edge” over its rivals.

STATE-BACKED AI

Chinese attendees at the forum were careful to cite the guiding role of the state in the country’s AI sector.

“The development of AI is led by government and executed by companies,” a Chinese presenter said in between speeches on Monday by China’s top tech leaders, including Alibaba Holding Ltd chairman Jack Ma, Tencent Holdings Ltd chief Pony Ma and Baidu Inc CEO Robin Li.

While China may have enthusiasm for foreign AI projects, there is little indication that building up local AI operations will open doors for foreign firms in other areas.

China’s leaders still prefer to view the Internet as a sovereign project. Google’s search engine remains blocked, while Amazon had to step back from its cloud business in China.

Censorship and local data rules have also hardened in China over the past two years, creating new hoops for foreign firms to jump through if they want to tap the booming internet sector.

Nevertheless, some speakers paid tribute to foreign AI products, including Xiami Corp chief executive Lei Jun, who hailed Google’s Alpha Go board game program as a major milestone, saying he was a fan of the game himself.

Alibaba’s Ma said innovation needed space to develop and it was not the government’s role to protect business.

“The government needs to do what the government should do, and companies need to do what they should do,” he said.

(Reporting by Cate Cadell; Editing by Adam Jourdan and Darren Schuettler)

New genre of artificial intelligence programs take computer hacking to another level

FILE PHOTO: Servers for data storage are seen at Advania's Thor Data Center in Hafnarfjordur, Iceland August 7, 2015. REUTERS/Sigtryggur Ari

By Joseph Menn

SAN FRANCISCO (Reuters) – The nightmare scenario for computer security – artificial intelligence programs that can learn how to evade even the best defenses – may already have arrived.

That warning from security researchers is driven home by a team from IBM Corp. who have used the artificial intelligence technique known as machine learning to build hacking programs that could slip past top-tier defensive measures. The group will unveil details of its experiment at the Black Hat security conference in Las Vegas on Wednesday.

State-of-the-art defenses generally rely on examining what the attack software is doing, rather than the more commonplace technique of analyzing software code for danger signs. But the new genre of AI-driven programs can be trained to stay dormant until they reach a very specific target, making them exceptionally hard to stop.

No one has yet boasted of catching any malicious software that clearly relied on machine learning or other variants of artificial intelligence, but that may just be because the attack programs are too good to be caught.

Researchers say that, at best, it’s only a matter of time. Free artificial intelligence building blocks for training programs are readily available from Alphabet Inc’s Google and others, and the ideas work all too well in practice.

“I absolutely do believe we’re going there,” said Jon DiMaggio, a senior threat analyst at cybersecurity firm Symantec Corp. “It’s going to make it a lot harder to detect.”

The most advanced nation-state hackers have already shown that they can build attack programs that activate only when they have reached a target. The best-known example is Stuxnet, which was deployed by U.S. and Israeli intelligence agencies against a uranium enrichment facility in Iran.

The IBM effort, named DeepLocker, showed that a similar level of precision can be available to those with far fewer resources than a national government.

In a demonstration using publicly available photos of a sample target, the team used a hacked version of video conferencing software that swung into action only when it detected the face of a target.

“We have a lot of reason to believe this is the next big thing,” said lead IBM researcher Marc Ph. Stoecklin. “This may have happened already, and we will see it two or three years from now.”

At a recent New York conference, Hackers on Planet Earth, defense researcher Kevin Hodges showed off an “entry-level” automated program he made with open-source training tools that tried multiple attack approaches in succession.

“We need to start looking at this stuff now,” said Hodges. “Whoever you personally consider evil is already working on this.”

(Reporting by Joseph Menn; Editing by Jonathan Weber and Susan Fenton)

Exclusive: U.S. considers tightening grip on China ties to corporate America

FILE PHOTO: The People's Republic of China flag and the U.S. Stars and Stripes fly on a lamp post along Pennsylvania Avenue near the U.S. Capitol during Chinese President Hu Jintao's state visit, in Washington, D.C.,U.S., January 18, 2011. REUTERS/Hyungwon Kang/File Photo

By Koh Gui Qing

NEW YORK (Reuters) – The U.S. government may start scrutinizing informal partnerships between American and Chinese companies in the field of artificial intelligence, threatening practices that have long been considered garden variety development work for technology companies, sources familiar with the discussions said.

So far, U.S. government reviews for national security and other concerns have been limited to investment deals and corporate takeovers. This possible new expansion of the mandate – which would serve as a stop-gap measure until Congress imposes tighter restrictions on Chinese investments – is being pushed by members of Congress, and those in U.S. President Donald Trump’s administration who worry about theft of intellectual property and technology transfer to China, according to four people familiar with the matter.

Artificial intelligence, in which machines imitate intelligent human behavior, is a particular area of interest because of the technology’s potential for military usage, they said. Other areas of interest for such new oversight include semiconductors and autonomous vehicles, they added.

These considerations are in early stages, so it remains unclear if they will move forward, and which informal corporate relationships this new initiative would scrutinize.

Any broad effort to sever relationships between Chinese and American tech companies – even temporarily – could have dramatic effects across the industry. Major American technology companies, including Advanced Micro Devices Inc, Qualcomm Inc, Nvidia Corp and IBM, have activities in China ranging from research labs to training initiatives, often in collaboration with Chinese companies and institutions who are major customers.

Top talent in areas including artificial intelligence and chip design also flows freely among companies and universities in both countries.

The nature of informal business relationships varies widely.

For example, when U.S. chipmaker Nvidia Corp – the leader in AI hardware – unveiled a new graphics processing unit that powers data centers, video games and cryptocurrency mining last year, it gave away samples to 30 artificial intelligence scientists, including three who work with China’s government, according to Nvidia.

For a company like Nvidia, which gets a fifth of its business from China, the giveaway was business as usual. It has several arrangements to train local scientists and develop technologies there that rely on its chips. Offering early access helps Nvidia tailor products so it can sell more.

The U.S. government could nix this sort of cooperation through an executive order from Trump by invoking the International Emergency Economic Powers Act. Such a move would unleash sweeping powers to stop or review informal corporate partnerships between a U.S. and Chinese company, any Chinese investment in a U.S. technology company or the Chinese purchases of real estate near sensitive U.S. military sites, the sources said.

“I don’t see any alternative to having a stronger (regulatory) regime because the end result is, without it, the Chinese companies are going to get stronger,” said one of the sources, who is advising U.S. lawmakers on efforts to revise and toughen U.S. foreign investment rules. “They are going to challenge our companies in 10 or 15 years.”

James Lewis, a former Foreign Service officer with the U.S. Departments of State who is now with the Center for Strategic and International Studies, said if the emergency act was invoked, U.S. government officials including those in the Treasury Department could use it “to catch anything they want” that currently fall outside the scope of the regulatory regime.A White House official said that they do not comment on speculation about internal administration policy discussions, but added “we are concerned about Made in China 2025, particularly relevant in this case is its targeting of industries like AI.”

Made in China 2025 is an industrial plan outlining China’s ambition to become a market leader in 10 key sectors including semiconductors, robotics, drugs and devices and smart green cars.

Last month, the White House outlined new import tariffs that were largely directed at China for what Trump described as “intellectual property theft.” That prompted Chinese President Xi Jinping’s government to retaliate with sanctions against the United States.

Those moves followed proposed legislation that would toughen foreign investment rules overseen by the Committee on Foreign Investment in the United States (CFIUS), by giving the committee – made up of representatives from various U.S. government agencies – purview over joint ventures that involve “critical technology”.

Republican and Democratic lawmakers who put forth the proposal in November said changes are aimed at China.

Whereas an overhauled CFIUS would likely review deals relevant to national security and involve foreign ownership, informal partnerships are likely to be regulated by revised export controls when they come into effect, sources said.

To be sure, sources said the Trump administration could change its mind about invoking the emergency act. They added that some within the Treasury Department are also lukewarm about invoking the emergency act as they preferred to focus on passing the revised rules for CFIUS.

FOCUS ON AI

Chinese and U.S. companies are widely believed among analysts to be locked in a two-way race to become the world’s leader in AI. While U.S. tech giants such as Alphabet Inc’s Google are in the lead, Chinese firms like Internet services provider Baidu Inc have made significant strides, according to advisory firm Eurasia Group.

As for U.S. chipmakers, few are as synonymous with the technology as Nvidia, one of the world’s top makers of the highly complex chips that power AI machines.

There is no evidence that Nvidia’s activities represent a threat to national security by, for instance, offering access to trade secrets such as how to make a graphics processing unit. Nvidia also said it does not have joint ventures in China.

In a statement, Nvidia said its collaborations in China – including training Chinese scientists and giving Chinese companies such as telecom provider Huawei Technologies Co Ltd early access to some of its latest technology – are only intended to get feedback on the chips it sells there.

“We are extremely protective of our proprietary technology and know-how,” Nvidia said. “We don’t give any company, anywhere in the world, the core differentiating technology.”

Qualcomm did not respond to requests for a comment, while Advanced Micro Devices and IBM declined to comment.

Nvidia is far from being the only U.S. tech giant, much less the only chipmaker, that lends expertise to China. But it is clearly in the sights of the Chinese. When the country’s Ministry of Science and Technology solicited pitches for research projects last year, one of the listed objectives was to create a chip 20 times faster than Nvidia’s

“Five years ago, this might not be a concern,” said Lewis, “But it’s a concern now because of the political and technological context.”

(Additional reporting by Diane Bartz in WASHINGTON; Editing by Lauren LaCapra and Edward Tobin)

Facebook to expand artificial intelligence to help prevent suicide

By David Ingram

SAN FRANCISCO (Reuters) – Facebook Inc will expand its pattern recognition software to other countries after successful tests in the U.S. to detect users with suicidal intent, the world’s largest social media network said on Monday.

Facebook began testing the software in the United States in March, when the company started scanning the text of Facebook posts and comments for phrases that could be signals of an impending suicide.

Facebook has not disclosed many technical details of the program, but the company said its software searches for certain phrases that could be clues, such as the questions “Are you ok?” and “Can I help?”

If the software detects a potential suicide, it alerts a team of Facebook workers who specialize in handling such reports. The system suggests resources to the user or to friends of the person such as a telephone help line. Facebook workers sometimes call local authorities to intervene.

Guy Rosen, Facebook’s vice president for product management, said the company was beginning to roll out the software outside the United States because the tests have been successful. During the past month, he said, first responders checked on people more than 100 times after Facebook software detected suicidal intent.

Facebook said it tries to have specialist employees available at any hour to call authorities in local languages.

“Speed really matters. We have to get help to people in real time,” Rosen said.

Last year, when Facebook launched live video broadcasting, videos proliferated of violent acts including suicides and murders, presenting a threat to the company’s image. In May Facebook said it would hire 3,000 more people to monitor videos and other content.

Rosen did not name the countries where Facebook was deploying the software, but he said it would eventually be used worldwide except in the European Union due to sensitivities, which he declined to discuss.

Other tech firms also try to prevent suicides. Google’s search engine displays the phone number for a suicide hot line in response to certain searches.

Facebook knows lots about its 2.1 billion users – data that it uses for targeted advertising – but in general the company has not been known previously to systematically scan conversations for patterns of harmful behavior.

One exception is its efforts to spot suspicious conversations between children and adult sexual predators. Facebook sometimes contacts authorities when its automated screens pick up inappropriate language.

But it may be more difficult for tech firms to justify scanning conversations in other situations, said Ryan Calo, a University of Washington law professor who writes about tech.

“Once you open the door, you might wonder what other kinds of things we would be looking for,” Calo said.

Rosen declined to say if Facebook was considering pattern recognition software in other areas, such as non-sex crimes.

(Reporting by David Ingram; Editing by Susan Thomas)

Tech leaders declare era of artificial intelligence

Elon Musk, Chairman of SolarCity and CEO of Tesla Motors, speaks at SolarCity's Inside Energy Summit in Midtown, New York

By Liana B. Baker

RANCHO PALOS VERDES, Calif. (Reuters) – Artificial intelligence and machine learning will create computers so sophisticated and godlike that humans will need to implant “neural laces” in their brains to keep up, Tesla Motors and SpaceX CEO Elon Musk told a crowd of tech leaders this week.

While Musk’s description of an injectable human-computer link may sound like science fiction, top tech executives repeatedly said that artificial intelligence (AI) was on the verge of changing everyday life, during discussion at a conference by online publication Recode this week.

It is no secret that tech companies are diving into AI analytics research, an industry that will grow to $70 billion by 2020 from just $8.2 billion in 2013, according to a Bank of America report citing IDC research.

AI, which combs through large troves of raw data to predict outcomes and recognize patterns, is already used in web search systems, marketing recommendation functions and security and financial trading programs. The technology will spread to driverless cars and service robots in the future, the Bank of America report said.

Sundar Pichai, chief executive of Alphabet Inc’s Google, said he sees a “huge opportunity” in AI. Google first started applying the technology through “deep neural networks” to voice recognition software about three to four years ago and is ahead of rivals such as Amazon.com Inc, Apple Inc and Microsoft Corp in machine learning, Pichai said.

But he and others acknowledged that the work of building machines that teach themselves is still in its infancy. Microsoft, for instance, apologized and went back to the lab after an AI chatbot talking on Twitter “learned” to make racist comments.

Amazon CEO Jeff Bezos predicted a profound impact on society over the next 20 years.

“It’s really early but I think we’re on the edge of a golden era. It’s going to be so exciting to see what happens,” he said.

Amazon has been working on artificial intelligence for at least four years and now has 1,000 employees working on Alexa, the company’s voice-based smart assistant software system, he said.

Big tech companies including Amazon have an edge at present because they have access to large amounts of data but hundreds of AI startups will hatch in the next few years, he said.

IBM CEO Ginni Rometty said the company has been working on artificial technology, which she calls a cognitive system, since 2005 when it started developing its Watson supercomputer.

“I would say in five years, there’s no doubt in my mind that cognitive AI will impact every decision made” from healthcare to education to financial services, Rometty said.

But it was the comments by Tesla’s Musk, on how he would potentially develop the technology to implant humans with technology to augment brains, that captured the imagination of attendees, according to Adam Burrows, senior vice president of emerging businesses at HomeAdvisor, a unit of IAC/Interactive Corp.

“It got people thinking on a philosophical level and away from what Google or Tesla will come out with next year,” he said. “It brings up the question, are we human anymore if we are part computer?”

(This version of the story corrects attribution in last two paragraphs)

(Editing by Peter Henderson and Matthew Lewis)

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