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Studies suggest finding automatic ways to spot fake news may be more complicated than anticipated

Clickbait headlines might not be as enticing to readers as once thought, according to a team of researchers. They added that artificial intelligence—AI—may also come up short when it comes to correctly determining whether a headline is clickbait.

In a series of studies, the researchers found that clickbait—headlines that often rely on linguistic gimmicks to tempt readers to read further—often did not perform any better and, in some cases, performed worse than traditional headlines.

Because fake news is a concern on , researchers have explored using AI to systematically identify and block clickbait. However, the studies also suggest that identifying fake news with may be even more complicated than anticipated, said S. Shyam Sundar, James P. Jimirro Professor of Media Effects in the Donald P. Bellisario College of Communications and co-director of the Media Effects Research Laboratory.

Bugs in NVIDIA’s Jetson Chipset Opens Door to DoS Attacks, Data Theft

Chipmaker patches nine high-severity bugs in its Jetson SoC framework tied to the way it handles low-level cryptographic algorithms.

Flaws impacting millions of internet of things (IoT) devices running NVIDIA’s Jetson chips open the door for a variety of hacks, including denial-of-service (DoS) attacks or the siphoning of data.

NVIDIA released patches addressing nine high-severity vulnerabilities including eight additional bugs of less severity. The patches fix a wide swath of NVIDIA’s chipsets typically used for embedded computing systems, machine-learning applications and autonomous devices such as robots and drones.
Impacted products include Jetson chipset series; AGX Xavier, Xavier NX/TX1, Jetson TX2 (including Jetson TX2 NX), and Jetson Nano devices (including Jetson Nano 2GB) found in the NVIDIA JetPack software developers kit. The patches were delivered as part of NVIDIA’s June security bulletin, released Friday.

Meet Amazon’s Newest Employees

It’s good that this could improve warehouse safety.

But what about people’s job security?

Cheddar news.


Amazon unveiled four new warehouse robots (Ernie, Bert, Scooter and Kermit) on Sunday. The group is currently undergoing testing and development to help reduce injuries and strenuous activities for their human colleagues.

It’s a Bird! It’s a Plane! It’s a Boeing MQ-25 Stingray!

The U.S. Navy successfully conducted its first-ever aerial refueling between a manned aircraft and an unmanned tanker. The unmanned tanker was being flown from the ground control station.

The Illinois-based mission lasted about four and a half hours and validated that an unmanned tanker could successfully use the Navy’s standard probe-and-drogue aerial refueling method.

Scientists Built a Walking Mars Rover That Can Climb Steep Hills

Engineers from ETH Zurich in Switzerland and the Max Planck Institute in Germany built a small quadrupedal robot meant to leap around on the surface of the Moon, much like the Apollo astronauts did half a century ago.

Now SpaceBok, named after the bounding springbok antelope, is getting a Mars upgrade — on the Red Planet, it will have to weather much stronger gravity than on the Moon and face more treacherous terrain, as Wired reports.

The concept is a strong one. If it were to ever land on Mars, a walking robot could explore terrain that has so far been off limits to wheeled rovers — and maybe even the planet’s mysterious caves.

Evolution, rewards, and artificial intelligence

Last week, I wrote an analysis of Reward Is Enough, a paper by scientists at DeepMind. As the title suggests, the researchers hypothesize that the right reward is all you need to create the abilities associated with intelligence, such as perception, motor functions, and language.

This is in contrast with AI systems that try to replicate specific functions of natural intelligence such as classifying images, navigating physical environments, or completing sentences.

The researchers go as far as suggesting that with well-defined reward, a complex environment, and the right reinforcement learning algorithm, we will be able to reach artificial general intelligence, the kind of problem-solving and cognitive abilities found in humans and, to a lesser degree, in animals.

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