New artificial intelligence system automatically evolves to evade internet censorship

2019-11-13

Researchers developed a tool called Geneva (short for Genetic Evasion), which automatically learns to circumvent censorship. Tested in China, India, and Kazakhstan, Geneva found dozens of ways to circumvent censorship by exploiting gaps in censors' logic and finding bugs that the researchers say would have been virtually impossible to find manually.

Robots appear more persuasive when pretending to be human

2019-11-12

Recent technological breakthroughs in artificial intelligence have made it possible for machines, or bots, to pass as humans. A team of researchers studied study how people interact with bots they believe to be human, and how such interactions are affected once bots reveal their identity. The researchers found that bots are more efficient than humans at certain human-machine interactions, but only if they are allowed to hide their non-human nature.

Army researcher promotes cooperation between humans, autonomous machines

2019-11-12

The trust between humans and autonomous machines is a research priority -- as machines become integral to society, it is critical to understand the impact on human decision-making.

Human-machine interactions: Bots are more successful if they impersonate humans

2019-11-14

An international research team sought to find out whether cooperation between humans and machines is different if the machine purports to be human. They carried out an experiment in which humans interacted with bots. The scientists show that bots are more successful than humans in certain human-machine interactions -- but only if they are allowed to hide their non-human identity.

AI could transform how we monitor the structural health of civil infrastructure

2019-11-18

The University of Surrey and King's College London have developed a new machine-learning algorithm (AI) that could transform the way we monitor major infrastructure -- such as dams and bridges.

Artificial intelligence algorithm can learn the laws of quantum mechanics

2019-11-19

Artificial intelligence can be used to predict molecular wave functions and the electronic properties of molecules. This innovative AI method could be used to speed-up the design of drug molecules or new materials.

Trash talk hurts, even when it comes from a robot

2019-11-20

Trash talking has a long and colorful history of flustering game opponents, and now researchers have demonstrated that discouraging words can be perturbing even when uttered by a robot.

Rise of the bots: Team completes first census of Wikipedia bots

2019-11-21

Researchers have completed the first analysis of all 1,601 of Wikipedia's bots, using computer algorithms to classify them by function and shed light on the ways that machine intelligences and human users work together to improve and expand the world's largest digital encyclopedia.

Using artificial intelligence to determine whether immunotherapy is working

2019-11-23

Currently, only about 20% of all cancer patients will actually benefit from costly immunotherapy. New research can now determine which ones are in that category, simply by analyzing previously unseen changes in patterns in CT scans taken when the lung cancer is first diagnosed compared to scans taken after the first 2-3 cycles of immunotherapy treatment.

New metallic material for flexible soft robots

2019-11-26

A team has created a material that is half as light as paper and highly flexible but also shows enhanced characteristics for electrical conductivity, heat generation, fire-resistance, strain-sensing and is inherently capable of wireless communications.

Bot can beat humans in multiplayer hidden-role games

2019-11-27

Researchers have developed a bot equipped with artificial intelligence that can beat human players in tricky online multiplayer games where player roles and motives are kept secret.

Building a better battery with machine learning

2019-11-29

Researchers have turned to the power of machine learning and artificial intelligence to dramatically accelerate battery discovery.

Artificial intelligence to run the chemical factories of the future

2019-11-30

A new proof-of-concept study details how an automated system driven by artificial intelligence can design, build, test and learn complex biochemical pathways to efficiently produce lycopene, a red pigment found in tomatoes and commonly used as a food coloring, opening the door to a wide range of biosynthetic applications, researchers report.

Deep learning identifies molecular patterns of cancer

2019-12-03

An artificial intelligence platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process. The deeper analysis shows some colorectal subtypes need to be reclassified.

Successful instrument guidance through deep and convoluted blood vessel networks

2019-12-04

Researchers have developed a novel approach to tackling one of the biggest challenges of endovascular surgery: how to reach the most difficult-to-access physiological locations. Their solution is a robotic platform that uses the fringe field generated by the superconducting magnet of a clinical MRI scanner to guide medical instruments through deeper and more complex vascular structures. The approach has been successfully demonstrated in-vivo.

A robot and software make it easier to create advanced materials

2019-12-06

A team of engineers has developed an automated way to produce polymers, making it much easier to create advanced materials aimed at improving human health. The innovation is a critical step in pushing the limits for researchers who want to explore large libraries of polymers, including plastics and fibers, for chemical and biological applications such as drugs and regenerative medicine through tissue engineering.

Machine learning helps scientists measure important inflammation process

2019-12-09

Inflammation is a hallmark of many health conditions, but quantifying how the underlying biology of inflammation contributes to specific diseases has been difficult. For the first time, researchers now report the development of a new technology to identify white blood cells called neutrophils that are primed to eject inflammatory DNA into the circulation via a process called NETosis.

Robots made from self-folding kirigami materials

2019-12-18

Researchers have demonstrated how kirigami-inspired techniques allow them to design thin sheets of material that automatically reconfigure into new two-dimensional (2D) shapes and three-dimensional (3D) structures in response to environmental stimuli. The researchers created a variety of robotic devices as a proof of concept for the approach.

Brain-like functions emerging in a metallic nanowire network

2019-12-27

An international joint research team succeeded in fabricating a neuromorphic network composed of numerous metallic nanowires. Using this network, the team was able to generate electrical characteristics similar to those associated with higher-order brain functions unique to humans, such as memorization, learning, forgetting, becoming alert and returning to calm. The team then clarified the mechanisms that induced these electrical characteristics.

Using deep learning to predict disease-associated mutations

2020-01-02

A research team implemented a robust deep learning approach to predict disease-associated mutations of the metal-binding sites in a protein. This is the first deep learning approach for the prediction of disease-associated metal-relevant site mutations in metalloproteins, providing a new platform to tackle human diseases.

Spider-Man-style robotic graspers defy gravity

2020-01-17

Traditional methods of vacuum suction and previous vacuum suction devices cannot maintain suction on rough surfaces due to vacuum leakage, which leads to suction failure. Researchers have developed a zero-pressure difference method to enhance the development of vacuum suction units. Their method overcame leakage limitations by using a high-speed rotating water ring between the surface and suction cup to maintain the vacuum.

Man versus machine: Can AI do science?

2020-01-23

Scientists have shown that machines can beat theoretical physicists at their own game, solving complex problems just as accurately as scientists, but considerably faster.

Artificial intelligence predicts treatment outcome for diabetes-related vision loss

2020-02-04

A new approach that uses artificial intelligence to analyze retinal images could one day help doctors select the best treatment for patients with vision loss from diabetic macular edema. This diabetes complication is a major cause of vision loss among working-age adults.

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