SEPTA will soon begin using an artificial intelligence system that can detect people getting on trains and buses with guns. Why it matters: There's been a dramatic spike in violent crime aboard the public transit system. Driving the news: SEPTA is the U.S.'s first major transit system to test out the AI technology, known as ZeroEyes. It's been deployed by the Pentagon as well as public schools, universities and Fortune 500 companies in more than 30 states, according to a SEPTA statement. How it works: The company behind ZeroEyes was founded by former Navy SEALs who used hundreds of thousands of images and videos to train the AI system.

During the meeting, a presentation was made featuring the City Brain system for developing the public transport network planning, which RTA intends to implement this year in cooperation with Alibaba. The system, which is meant for managing urban traffic systems, uses AI and advanced algorithm to analyse a massive number of big data captured from nol cards, buses and taxis in operation as well as the Enterprise Command and Control Centre. Then it converts the data into information useful in sending instant notifications about the revised bus schedules and routes. The system is expected to improve the bus ridership by 17 per cent, reduce the average waiting time by 10 per cent, and shorten the journey time and the average bus use by five per cent.

Ozone levels in the earth's troposphere (the lowest level of our atmosphere) can now be forecasted with accuracy up to two weeks in advance, a remarkable improvement over current systems that can accurately predict ozone levels only three days ahead. The new artificial intelligence system developed in the University of Houston's Air Quality Forecasting and Modeling Lab could lead to improved ways to control high ozone problems and even contribute to solutions for climate change issues. Nobody had done this previously. I believe we are the first to try to forecast surface ozone levels two weeks in advance." The findings are published online in the scientific journal, Scientific Reports-Nature. Ozone, a colorless gas, is helpful in the right place and amount. As a part of the earth's stratosphere ("the ozone layer"), it protects by filtering out UV radiation from the sun. But when there are high concentrations of ozone near earth's surface, it is toxic to lungs and hearts.

LONDON: Scientists have developed an artificial intelligence (AI) based method that is as good at identifying and grading prostate cancer as world-leading uro-pathologists. The AI-system has the potential to solve one of the bottlenecks in today's prostate cancer histopathology by providing more accurate diagnosis and better treatment decisions, according to the study published in The Lancet Oncology journal. "Our results show that it is possible to train an AI-system to detect and grade prostate cancer on the same level as leading experts," said Martin Eklund, an associate professor at Karolinska Institutet in Sweden. "This has the potential to significantly reduce the workload of uro-pathologists and allow them to focus on the most difficult cases," Eklund said. A problem in today's prostate pathology is that there is a certain degree of subjectivity in the assessments of the biopsies, researchers said. Different pathologists can reach different conclusions even though they are studying the same samples, they said.

A new artificial intelligence approach can design drugs from scratch and is expected to help bring new drugs to patients quicker. Researchers from the University of North Carolina's (UNC) Eshelman School of Pharmacy have developed a new artificial intelligence system that can teach itself to create new drug candidates from scratch. Called Reinforcement Learning for Structural Evolution (ReLeaSE), the new approach is expected to potentially expedite the design and development of new drugs. The algorithm and computer programme features two neural networks, one of which carries knowledge on chemical structures for nearly 1.7 million biologically active molecules. The second network learns from the first one, over time, and proposes molecules with potential as new therapeutics.

Artificial intelligence (AI) is becoming a huge tool for people in many fields, especially in healthcare. A new artificial intelligence, deep learning network called deep learning convolutional neural network (CNN) has been developed to help dermatologists. Through testing, the new CNN has been proven to detect skin cancer even better than expert dermatologists. The CNN was developed by researchers from around in the world, including Germany, the United States and France. The new development is important because 232,000 new malignant melanoma cases are found around the world every year and 55,500 people die from melanoma cases each year. If the CNN is developed to be used as a tool in a dermatologist's office, many lives could be saved.

NEW DELHI: The Commerce and Industry Ministry has constituted an 18-member task force to explore possibilities to leverage artificial intelligence (AI) for economic transformation. In a statement, Commerce and Industry Minister Nirmala Sitharaman said with rapid development in the fields of information technology and hardware, the world is about to witness a fourth industrial revolution. Artificial intelligence, machine learning to impact workplace practices in India: Adobe According to a global report by software major Adobe, over 50 per cent respondents did not feel concerned by artificial intelligence (AI) or machine learning. "Driven by the power of big data, high computing capacity, artificial intelligence and analytics, Industry 4.0 aims to digitise the manufacturing sector," she added. The panel comprised experts, academics, researchers and industry leaders.

Scientists have developed a new artificial intelligence system that can track medical staff through cameras and detect whether they maintain proper hand hygeine, an advance that could reduce the risk of hospital- acquired infections. Researchers at the Swiss Federal Institute of Technology (EPFL) conducted a study using a combination of depth cameras and computer-vision algorithms. They tracked people around two hospital wards and automatically identified when they used gel dispensers. "We're trying to shed light on the dark spaces of healthcare. Understanding the problem is just the first step," said Alexandre Alahi from EPFL.

Scientists have developed a new'mind reading' artificial intelligence system that can decode complex human thoughts just by measuring brain activity. The AI system indicates that the mind's building blocks for constructing complex thoughts are formed by the brain's various sub-systems and are not word-based. "We have finally developed a way to see thoughts of that complexity in the fMRI signal. The discovery of this correspondence between thoughts and brain activation patterns tells us what the thoughts are built of," said Marcel Just from Carnegie Mellon University (CMU) in the US. Researchers demonstrated that the brain's coding of 240 complex events, sentences like the shouting during a trial scenario uses an alphabet of 42 meaning components, or neurally plausible semantic features.

Researchers from the University of Cambridge have created an artificial intelligence system that uses five different facial expressions to diagnose if a sheep is in pain. It can also estimate the severity of the pain. The research, which is being presented at a conference in Washington D.C. on Thursday, could improve sheep well-being -- and help in the early diagnosis and treatment of painful conditions in other animals like horses and rats. The new system, which uses machine learning, can detect different parts of a sheep's face and compares them with the standardized measurement tool developed by veterinarians for diagnosing pain. The researchers trained their model using about 500 photographs of sheep.