The already rapid growth of the global robotics market is accelerating. It more than doubled from 2005 to 2015 and is projected to more than triple from 2015 to 2025. This growth is broad-based, touching almost the entire economy, and two simple truths are behind it: robots are becoming cheaper (the cost of industrial robot systems dropped by nearly 30% in the decade leading up to 2015), while their applications and capabilities are widening and improving. In construction, the big leap is that robots are getting better at operating in uncontrolled environments. Previously, they could work only in highly structured environments such as automobile production lines, doing repetitive, relatively simple tasks.

"Data is the new oil." This oft repeated concept, first coined by British mathematician Clive Humby, highlights the inherent value of data in the post-industrial era and the one that powers the transformative technology of the digital era, like artificial intelligence (AI), predictive analytics, machine learning, et al. India is on the forefront of leveraging AI for social and economic development and has demonstrated its appetite to embrace AI and the opportunity it offers through its plans. The National Institution for Transforming India (NITI Aayog) is working on the country's first-ever national policy on AI, and a government-appointed task force[i] has released a comprehensive plan to implement AI in 10 sectors in the country over the next five years. The adoption of AI enables diverse solutions that find applications in businesses as well as in governance, and also carries us into an era focused on data – the exponential growth in volume, the analysis, and the management of it.

Thousands of Google employees and contractors around the globe--many of them women--briefly walked off the job Thursday to protest Google's handling of sexual harassment claims and other workplace issues, and to demand more transparency around harassment incidents and pay levels at the company. The demonstrations took place outside about 40 Google offices, including Singapore, London, New York, San Francisco, and the company's headquarters in Mountain View, California. The protest was spurred by a recent New York Times article about Google awarding multimillion-dollar exit packages to top male executives accused of sexual misconduct, including a $90 million payment to Android founder Andy Rubin, even after Google investigators found credible a claim that Rubin coerced a female employee into performing oral sex. In San Francisco, workers carried signs saying "Not OK Google" and "Equal Pay 4 Equal Work." Organizers led the crowd in chants like "Time's up for Google," and read accounts of workplace harassment from anonymous Google employees, who did not share their names.

Ultrasound elastography is gaining traction as an accessible and useful diagnostic tool for such things as cancer detection and differentiation as well as liver and thyroid disease diagnostics. Unfortunately, state of the art acoustic radiation force techniques, essential to promote this goal, are limited to high end ultrasound hardware due to high power requirements; are extremely sensitive to patient and sonographer motion; and generally suffer from low frame rates. Researchers have shown that pressure wave velocity possesses similar diagnostic abilities to shear wave velocity. Using pressure waves removes the need for generating shear waves, which in turn enables elasticity based diagnostic techniques on portable and low cost devices. However, current travel time tomography and full waveform inversion techniques for recovering pressure wave velocities require a full circumferential field of view. Focus based techniques, on the other hand, provide only localized measurements, are sensitive to the intermediate medium and require capturing multiple frames. In this paper, we present a single sided sound speed inversion solution using a fully convolutional deep neural network. We show that it is possible to invert for longitudinal sound speed in soft tissue at real time frame rates. For the computation, analysis is performed on channel data information from three diagonal plane waves. This is the first step towards a full waveform solver using a Deep Learning framework for the elastic and viscoelastic inverse problem.

Identification of high affinity drug-target interactions (DTI) is a major research question in drug discovery. In this study, we propose a novel methodology to predict drug-target binding affinity using only ligand SMILES information. We represent proteins using the word-embeddings of the SMILES representations of their strong binding ligands. Each SMILES is represented in the form of a set of chemical words and a protein is described by the set of chemical words with the highest Term Frequency- Inverse Document Frequency (TF-IDF) value. We then utilize the Support Vector Regression (SVR) algorithm to predict protein - drug binding affinities in the Davis and KIBA Kinase datasets. We also compared the performance of SMILES representation with the recently proposed DeepSMILES representation and found that using DeepSMILES yields better performance in the prediction task. Using only SMILESVec, which is a strictly string based representation of the proteins based on their interacting ligands, we were able to predict drug-target binding affinity as well as or better than the KronRLS or SimBoost models that utilize protein sequence.

Traffic prediction is a fundamental and vital task in Intelligence Transportation System (ITS), but it is very challenging to get high accuracy while containing low computational complexity due to the spatiotemporal characteristics of traffic flow, especially under the metropolitan circumstances. In this work, a new topological framework, called Linkage Network, is proposed to model the road networks and present the propagation patterns of traffic flow. Based on the Linkage Network model, a novel online predictor, named Graph Recurrent Neural Network (GRNN), is designed to learn the propagation patterns in the graph. It could simultaneously predict traffic flow for all road segments based on the information gathered from the whole graph, which thus reduces the computational complexity significantly from O(nm) to O(n m), while keeping the high accuracy. Moreover, it can also predict the variations of traffic trends. Experiments based on real-world data demonstrate that the proposed method outperforms the existing prediction methods.

Google Assistant won't be arriving on Sonos this year, the company has admitted, pushing the release date into 2019. Users had hoped that Google's voice assistant would arrive alongside Alexa at some time before the end of the year. But Sonos said integrating it had taken more time than planned and so it won't arrive until 2019. It didn't say when the new features would arrive. But it noted that it was making "good progress" and it is looking to lock down a date in the next year, with another announcement coming in "early 2019".

Cyber criminals are targeting players of the popular video game Fortnite on a far greater scale than previously thought, security researchers have revealed. Between early September and early October of this year, Zerofox discovered 53,000 different instances of online scams relating to Fortnite, the majority of which stem from social media. "These scams are directly targeting innocent players and could be affecting your employees, customers, family and friends," Zerofox researchers wrote in a blog post that detailed their findings. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Netflix has finally arrived on Sky Q, allowing the two companies to team up for what they say is the ultimate on demand package. The partnership will allow people to watch Netflix shows like any other box set on their Sky box. But it will also be fully integrated, meaning that new series will appear as recommendations on the homepage. And the two subscriptions will be tied together, too, allowing people to pay for their Netflix subscription through their Sky bill and tie the two offerings together for cheaper than they would be separately. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

That's one of the surprising -- and unsettling -- questions Israeli historian Yuval Noah Harari asks in his much-quoted new book, 21 Lessons for the 21st Century. Whereas 20th-century technology favored democracies as they were able to distribute power to make decisions among many people and institutions, according to Harari, artificial intelligence (AI) might make centralized systems that concentrate all information and power far more efficient as machine learning works better with more information to analyze. "If you disregard all privacy concerns and concentrate all the information relating to a billion people in one database," Harari writes, "you'll wind up with much better algorithms than if you respect individual privacy and have in your database only partial information on a million people." The rise of AI swinging the pendulum from democracies toward authoritarian regimes is just one of the feared adverse impacts of technologies: Others include job displacement, concentration of power, diminishing privacy, rising income inequality and losing our "free will." Yet most people have little or no knowledge about how AI, blockchain, the Internet of Things or genetic engineering could affect their lives.