To the casual observer, this electric rental car whizzing by looks like yet another test of a self-driving car. But actually, someone is driving the car – only they're doing so from miles away. And that's what makes this business model stand apart from the many other autonomous vehicle operations. The car is being driven remotely from a building where an operator uses cameras in the car to see where it's going and can steer, brake and accelerate. "We can make remotely controllable cars (for) any kind of electric vehicle," said Enn Laansoo, CEO and co-founder of Elmo, a car-rental company based in the small Baltic nation of Estonia that's pioneering the technology.

The Roman startup has in fact developed a deep learning system that learns from readers the elements of success of a story capable of going viral.

The world's top technology and business leaders gather this week in Yerevan, Armenia for the 23rd World Congress on Information Technology. WCIT is organized by the World Information Technology & Services Alliance, the Consortium of ICT associations of 83 countries representing 90 percent of the industry. Running for 40 years, the WCIT is one of the oldest and most prestigious ICT events in the world that brings together CEOs, investors, policy makers, government officials, academics, and technologists to discuss the current state of the industry as well as where it is going. This year, WCIT has focused its attention on the Power of Decentralization: Promise and Peril. During the congress, held from 6 to 9 October at the Karen Demirchyan Sports and Concert Complex, ICT leaders will explore how information and communications technology (ICT) is transforming the world and our lives, both for better and for worse.

The study focuses on estimating and predicting time-varying origin to destination (OD) trip tables for a dynamic traffic assignment (DTA) model. A bi-level optimisation problem is formulated and solved to estimate OD flows from pre-existent demand matrix and historical traffic flow counts. The estimated demand is then considered as an input for a time series OD demand prediction model to support the DTA model for short-term traffic condition forecasting. Results show a high capability of the proposed OD demand estimation method to reduce the DTA model error through an iterative solution algorithm. Moreover, the applicability of the OD demand prediction approach is investigated for an incident analysis application for a major corridor in Sydney, Australia.

Abstract: Predicting traffic incident duration is a major challenge for many traffic centres around the world. Most research studies focus on predicting the incident duration on motorways rather than arterial roads, due to a high network complexity and lack of data. In this paper we propose a bi-level framework for predicting the accident duration on arterial road networks in Sydney, based on operational requirements of incident clearance target which is less than 45 minutes. Using incident baseline information, we first deploy a classification method using various ensemble tree models in order to predict whether a new incident will be cleared in less than 45min or not. If the incident was classified as short-term, then various regression models are developed for predicting the actual incident duration in minutes by incorporating various traffic flow features. After outlier removal and intensive model hyper-parameter tuning through randomized search and cross-validation, we show that the extreme gradient boost approach outperformed all models, including the gradient-boosted decision-trees by almost 53%. Finally, we perform a feature importance evaluation for incident duration prediction and show that the best prediction results are obtained when leveraging the real-time traffic flow in vicinity road sections to the reported accident location. Initial methods used to predict the incident duration were 1. Introduction Bayesian classifiers [5], discrete choice models (DCM) [6], probabilistic distribution analyses [7], and the hazard-based Traffic congestion is a major concern for many cities duration models (HBDM) [8].

HYDERABAD: As Artificial Intelligence (AI) found a place in this year's Union Budget and Niti Ayog is set to establish a programme on AI, the topic dominated most of the sessions and talks at the WCIT-2018 and NASSCOM ILF on Monday. Andrew Ng, a leading expert on AI and Co-Founder of Coursera, said there is a shortage of skilled individuals in the field of AI and Machine Learning and that India has a great opportunity to grow in the field. He also said that those who improved their skills in the field of AI would be "richly rewarded". When asked as to what are chances of developing countries like India making it big in AI when US and China are already making strides, he said every country was far from being developed when it came to AI and everyone had an equal chance. Speaking on regulations on AI which is being debated across the world as AI becomes a hotly pursued technology, he said that a generalised horizontal regulation on AI would halt its development and regulations should be implemented only in verticals where it was required.

These are the trends that will enable almost every industry to adopt and create IoT solutions in the next few years. Faced with this pace of change and disruption, companies are wondering how to plan, implement, and keep up. They need the right people and the right technology to build a digital vision that will empower employees, engage customers, optimize operations, and transform products. Microsoft has been working with customers and partners across multiple industries and regions to enable this digital transformation, and today we're seeing a new paradigm -- an intelligent cloud with an intelligent edge. Companies are building new experiences that are multi-device, multi-sense and not bound by any particular computing experience.

Some people believe that the expert system field is dead, yet others believe it is alive and well. To gain a better insight into these possible views, the first three world congresses on expert systems (which typically attract representatives from some 45-50 countries) are used to determine the health of the global expert system field in terms of applied technologies, applications, and management. This article highlights some of these findings. An excellent way to gain a global perspective on expert system technology, applications, and management is to examine the world congresses on expert systems (sponsored by the International Society for Intelligent Systems in Rockville, Maryland). The World Congress on Expert Systems was established to bridge the gap between the academician and the practitioner and concentrate on expert system work being performed throughout the world.

G\"odel's ontological proof has been analysed for the first-time with an unprecedent degree of detail and formality with the help of higher-order theorem provers. The following has been done (and in this order): A detailed natural deduction proof. A formalization of the axioms, definitions and theorems in the TPTP THF syntax. Automatic verification of the consistency of the axioms and definitions with Nitpick. Automatic demonstration of the theorems with the provers LEO-II and Satallax. A step-by-step formalization using the Coq proof assistant. A formalization using the Isabelle proof assistant, where the theorems (and some additional lemmata) have been automated with Sledgehammer and Metis.

Every year the Mobile World Congress in Barcelona features the updates and innovations likely to sweep the mobile industry in the year ahead. What will it take to get you jazzed about smartphones again? The industry appears mostly stuck in neutral, as was evident at the Mobile World Congress trade show that took place in Barcelona, Spain, last week. There was a me-too-ness to most of the handsets on display, and it's been this way for a while. It was equally telling that one of the biggest stories to come out of MWC was about the relaunch of the Nokia 3310, a cheap compact throwback phone that debuted around the turn of century.