Daily Artificial Intelligence News Roundup #126

1. A US attempt to keep AI out of China’s hands could actually help China

The US and China are in a race to become the AI superpower of the century. It says it will use the feedback “to determine whether there are specific emerging technologies” within each category that merit restriction. David Edelman, the director of the Project on Technology, the Economy, and National Security at MIT. Read More

2. [1811.07901] On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection

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3. [1811.07996] A Smart System for Selection of Optimal Product Images in E-Commerce

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4. [1811.08212] Computer-Assisted Fraud Detection, From Active Learning to Reward Maximization

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5. Robot swarms help scientists 3D print the buildings of the future –

Today there’s more talk than ever before of using 3D printers to print all sorts of buildings, from small houses, and family houses, marine barracks, to giant 80 storey skyscrapers like the ones planned in Dubai, but there’s a fundamental issue that has to overcome first – to 3D print a building you either need a huge 3D printing device, or you need a different approach. And thankfully nature, again, as it does so many times, has shown researchers the way – after all, tiny ants working in a coordinated team can create some incredibly complex structures.

Now a new study from the Nanyang Technological University in Singapore paves the way for a future in which robots can 3D print buildings in much the same way, working together in a cooperative “swarm. Read More

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

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7. Mila » One of the fathers of AI is worried about its future

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8. Aquatic animals that jump out of water inspire leaping robots: Aquatic animals’ maximum jumping height is related to their body size, while ‘entrained water mass’ plays a limiting role

Ever watch aquatic animals jump out of the water and wonder how they manage to do it in such a streamlined and graceful way. 18-20 at the Georgia World Congress Center in Atlanta, Georgia, Sunghwan Jung, an associate professor of biology and environmental engineering at Cornell University, and one of his students, Brian Chang, will present their work designing a robotic system inspired by jumping copepods (tiny crustaceans) and frogs to illuminate some of the fluid dynamics at play when aquatic animals jump.

“We collected data about aquatic animals of different sizes — from about 1 millimeter to tens of meters — jumping out of water, and were able to reveal how their maximum jumping heights are related to their body size,” said Jung. Read More

9. Reward learning from human preferences and demonstrations in Atari – ShortScience.org

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10. Women, Technology, and the Future of Work

ByEra Dabla-Norris and Kalpana Kochhar

November 16, 2018

عربي, 日本語, Русский

The way we work is changing at an unprecedented rate. Digitalization, artificial intelligence, and machine learning are eliminating many jobs involving low and middle-skill routine tasks through automation.

Our new research finds the trend toward greater automation will be especially challenging for women. Read More

11. AI can’t just play video games all day if it’s ever going to grow up

Reinforcement learning (RL) is suffering from what I call the “big baby problem. But the benchmark tasks used to measure how RL algorithms are performing—like Atari video games and simulation environments—don’t reflect the complexity of the natural world.

As a result, the algorithms have grown more sophisticated without confronting real-world problems—leaving them too fragile to operate beyond deterministic and narrowly defined environments. Read More

12. How UPS uses AI to outsmart bad weather

If a snowstorm hits Denver, it can delay thousands of packages that travel through the city before reaching their final destinations on the other side of the country. But if UPS knows a storm is coming, what is the most efficient way to divert all those online orders and holiday gifts around the bad weather. The app—called Network Planning Tools, or NPT  for short—lets the company’s engineers view activity at UPS facilities around the world and route shipments to the ones with the most capacity. Read More

13. The difference between AI and machine learning, explained

A while ago, while browsing through the latest AI news, I stumbled upon a company that claimed to use “machine learning and advanced artificial intelligence” to collect and analyze hundreds of data touch points to improve user experience in mobile apps.

On the same day, I read about another company that predicted customer behavior using “a combination of machine learning and AI” and “AI-powered predictive analytics.

Machine learning is fascinating, especially it’s more advanced subsets such as deep learning and neural networks. Read More