Daily Archives: June 14, 2018

E- textiles Control Home Appliances With The Swipe Of A Finger

Electronic textiles could allow a person to control household appliances or computers from a distance simply by touching a wristband or other item of clothing — something that could be particularly helpful for those with limited mobility. Now researchers, reporting in ACS Nano, have developed a new type of e-textile that is self-powered, highly sensitive and washable.


E-textiles are not new, but most existing versions have poor air permeability, can’t be laundered or are too costly or complex to mass-produce. Chinese researchers Jiaona Wang, Hengyu Guo, Congju Li and coworkers wanted to develop an E-textile that overcomes all of these limitations and is highly sensitive to human touch.

The researchers made a self-powered triboelectric nanogenerator by depositing an electrode array of conductive carbon nanotubes on nylon fabric. To make the E-textile washable, they incorporated polyurethane into the carbon nanotube ink, which made the nanotubes firmly adhere to the fabric. They covered the array with a piece of silk and fashioned the textile into a wristband. When swiped with a finger in different patterns, the E-textile generated electrical signals that were coupled to computers to control programs, or to household objects to turn on lights, a fan or a microwave from across the room. The E-textile is breathable for human skin, washable and inexpensive to produce on a large scale, the researchers say.

Source: https://www.eurekalert.org/

MIT Artificial Intelligence System Detects 85 Percent Of Cyber Attacks

While the number of cyber attacks continues to increase it is becoming even more difficult to detect and mitigate them in order to avoid serious consequences. A group of researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is working on an ambitious project, the development of a technology that is able to early detect cyber attacks. The experts in collaboration with peers from the startup PatternEx have designed an Artificial Intelligence system that is able to detect 85 percent of attacks by using data from more than 3.6 Billion lines of log files each day.

The researchers have developed a system that combines an Artificial Intelligence engine with human inputs. , which researchers call Analyst Intuition (AI), which is why it has been given the name of AI2. The AI2 system first performs an automatic scan of the content with machine-learning techniques and then reports the results to human analysts which have to discriminate events linked to cyber attacks. According to the experts at the MIT the approach implemented by the AI2 system is 3 times better than modern automated cyber attack detection systems.

“The team showed that AI2 can detect 85 percent of attacks, which is roughly three times better than previous benchmarks, while also reducing the number of false positives by a factor of 5. The system was tested on 3.6 billion pieces of data known as “log lines,” which were generated by millions of users over a period of three months.” states a description of the AI2 published by the MIT.

The greater the number of analyzes carried out by the system, the more accurate the subsequent estimates thanks to the feedback mechanism.

“You can think about the system as a virtual analyst,” says CSAIL research scientist Kalyan Veeramachaneni, who developed AI2 with Ignacio Arnaldo, a chief data scientist at PatternEx and a former CSAIL postdoc. “It continuously generates new models that it can refine in as little as a few hours, meaning it can improve its detection rates significantly and rapidly.”

Source: http://ai2.appinventor.mit.edu/