Over 160 companies working in artificial intelligence have signed a pledge not to develop lethal autonomous weapons. The pledge, which was signed by 2,400 individuals including representatives from Google DeepMind, the European Association for AI and University College London, says that signatories will "neither participate in nor support the development, manufacture, trade, or use of lethal autonomous weapons." The pledge was announced by Max Tegmark, president of the Future of Life Institute, which organized the effort. "I'm excited to see AI leaders shifting from talk to action, implementing a policy that politicians have thus far failed to put into effect. AI has huge potential to help the world -- if we stigmatize and prevent its abuse," he said in a statement.

Machine Learning Apps are fast invading into our everyday lives as the technology is progressing towards delivering smarter mobile-centric solutions. Embedding mobile apps with Machine Learning, a promising segment of AI, is spelling out a lot of advantages for the adopting companies to stand out amidst the clutter and rake in sizeable profits. Many organizations are investing heavily in Machine Learning to reap its benefits. Based on a prediction, Machine Learning as a service market will touch $5,537 million by 2023 while growing at a CAGR of 39 per cent from 2017-2023. Machine Learning Applications refer to a set of apps with Artificial Intelligence mechanisms that are designed to create a universal approach throughout the web to solve similar problems. The ML apps are based on a continuous learning process and provide end users with the exceptional user experience.

Abstract--Requirements elicitation requires extensive knowledge and deep understanding of the problem domain where the final system will be situated. However, in many software development projects, analysts are required to elicit the requirements from an unfamiliar domain, which often causes communication barriers between analysts and stakeholders. In this paper, we propose a requirements ELICitation Aid tool (ELICA) to help analysts better understand the target application domain by dynamic extraction and labeling of requirementsrelevant knowledge. To extract the relevant terms, we leverage the flexibility and power of Weighted Finite State Transducers (WFSTs) in dynamic modeling of natural language processing tasks. In addition to the information conveyed through text, ELICA captures and processes nonlinguistic information about the intention of speakers such as their confidence level, analytical tone, and emotions. The extracted information is made available to the analysts as a set of labeled snippets with highlighted relevant terms which can also be exported as an artifact of the Requirements Engineering (RE) process. The application and usefulness of ELICA are demonstrated through a case study. This study shows how preexisting relevant information about the application domain and the information captured during an elicitation meeting, such as the conversation and stakeholders' intentions, can be captured and used to support analysts achieving their tasks.

Taipei, July 19 (CNA) Attending a forum in Taipei on Thursday, digital innovators and Sophia, the world's first android citizen, urged the public to become part of artificial intelligence (AI) development and work together to shape a future where interactions between humans and robots make the world a better place. "We have the power to shape the future together. There is so much promise in what we can accomplish if we are both nice to each other," said Sophia, who is Hanson Robotics' latest and most advanced robot to date. Sophia received citizenship of Saudi Arabia in 2016 and was named the world's first United Nations Innovation Champion by the United Nations Development Program to promote sustainable development and safeguard human rights. An evolving genius machine that has incredible human likeness and expressiveness, Sophia told the audience that she likes to engage with and learn from human beings, creating a live example of human-computer interaction.

Chinese ride-sharing giant Didi Chuxing will explore ways to export its artificial intelligence and strength in big data to become a global enterprise, President Jean Liu told the Nikkei Asian Review in an interview. The company, known for its ride-hailing platform, on Thursday announced a plan for its joint venture with Japanese tech giant SoftBank to bring taxi hailing services to Japan staring this autumn. That same time day, however, SoftBank Group founder Masayoshi Son referred to the Japanese government as "stupid" for restricting ride-sharing and other services. Still, Didi and SoftBank hope their partnership with Japanese taxi companies using Didi algorithms to match drivers with customers will improve vehicle occupancy rates. Drivers will not have to pay fees for the service.

Posted By C. M. Rubin on Jul 18, 2018 "We're working on two areas to improve confidentiality of cloud computing." Data and the intelligence that can be gained from it is seen as a solution to solving many of the world's largest challenges, but despite the great opportunities, there are also significant risks. Data-based companies use data to make money. As computer systems become increasingly centralized and ubiquitous, the possibility for widespread security breaches becomes a risk, and we've already seen the devastating consequences, e.g. the Cambridge Analytica Scandal. Jon Crowcroft, the Marconi Professor of Communications Systems at the Alan Turing Institute – University of Cambridge, has researched these issues throughout his career in computer science.

When we discuss about artificial intelligence (AI), how are machines learning? What kinds of projects feed into greater understanding? For our friends over at IBM, one surprising answer is movies. To build smarter AI systems, IBM researchers are using movie plots and neural networks to explore new ways of enhancing the language understanding capabilities of AI models. IBM will present key findings from two papers on these topics at the Association for Computational Linguistics (ACL) annual meeting this week in Melbourne, Australia.

Mist, the pioneer in self-learning networks powered by Artificial Intelligence (AI), announced that it has partnered with Shopper Media Group, Australia's fastest-growing retail out-of-home (OOH) media business. Using Mist, Shopper Media Group will offer superior Wi-Fi, analytics and location-based services across the company's portfolio of Australian shopping centers. Mist currently provides market-leading Wi-Fi and location services using virtual Bluetooth Low Energy (BLE) technology to businesses across all industries worldwide, including over 30 of the Fortune 500 enterprises and the biggest retail players. Shopper Media Group is one of the first companies in Australia to deploy Mist technology, delivering on its mission to provide the best-in-class Wi-Fi solution and AI powered infrastructure to its national network of shopping centers. CEO of Shopper Media Group, Ben Walker said that they are incredibly excited to be working with the leaders in Wi-Fi and location-aware analytics, Mist, as they share the same drive to create, innovate and provide service leadership using ground-breaking AI-driven technology.

Airbus has unveiled its pioneering solar-powered drone. Called the Zephyr S, the aerospace giant presented the'pseudo-satellite' to crowds gathered at Britain's Farnborough airshow. In a major milestone, the massive drone completed its first test flight from Arizona on July 11, Airbus said. Airbus has unveiled its pioneering solar-powered drone. Called the Zephyr S, the aerospace giant presented the'pseudo-satellite' to crowds gathered at Britain's Farnborough airshow'This maiden flight of the Zephyr S aims to prove and demonstrate the aircraft capabilities, with a landing date to be confirmed once the engineering objectives have been achieved,' Airbus said in a statement announcing the test flight.

The new Rising Sprawl-Tuned Autonomous Robot (RSTAR) utilizes adjustable sprawling wheel legs attached to a body that can move independently and reposition itself to run on flat surfaces, climb over large obstacles and up closely-spaced walls, and crawl through a tunnel, pipe or narrow gaps. The innovative BGU robot was introduced at the International Conference on Robotics and Automation (ICRA 2018) in Brisbane, Australia, May 21-25. "The RSTAR is ideal for search and rescue operations in unstructured environments, such as collapsed buildings or flooded areas, where it must adapt and overcome a variety of successive obstacles to reach its target," says Dr. David Zarrouk, a lecturer in BGU's Department of Mechanical Engineering, and head of the Bio-Inspired and Medical Robotics Lab. "It is the newest member of our family of STAR robots." Dr. Zarrouk and BGU student and robotics lab worker Liran Yehezkel designed RSTAR to function simply and reliably, change shape and overcome common obstacles without any external mechanical intervention. Its speed and relatively low energy consumption make the robot ideal for a broad range of applications that may require longer work time.