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Lenovo Launches New Devices: Offering Smarter Technology for All Lenovo StoryHub
BERLIN, September 5, 2019 – Today, at the company's annual Tech Life event, Lenovo unveiled an array of new smarter home, laptop, AR and mobile devices, designed to provide'Smarter Technology for All'. Smart is used to signify innovation, breaking the rules and pushing boundaries but instead has become a byword for connectivity. As a result, Lenovo is focused on an ongoing vision and commitment to develop technologies that are not only smarter, but are available, accessible and benefit everyone. As a global technology leader Lenovo believes its duty is to develop world-changing technologies that can create a more inclusive, trustworthy and sustainable digital society – for everyone, everywhere. Premium Yoga PCs from Lenovo are known for their computing power, first-rate craftsmanship, and immersive entertainment.
Optimizing Generalized Rate Metrics through Game Equilibrium
Narasimhan, Harikrishna, Cotter, Andrew, Gupta, Maya
We present a general framework for solving a large class of learning problems with non-linear functions of classification rates. This includes problems where one wishes to optimize a non-decomposable performance metric such as the F-measure or G-mean, and constrained training problems where the classifier needs to satisfy non-linear rate constraints such as predictive parity fairness, distribution divergences or churn ratios. We extend previous two-player game approaches for constrained optimization to a game between three players to decouple the classifier rates from the non-linear objective, and seek to find an equilibrium of the game. Our approach generalizes many existing algorithms, and makes possible new algorithms with more flexibility and tighter handling of non-linear rate constraints. We provide convergence guarantees for convex functions of rates, and show how our methodology can be extended to handle sums of ratios of rates. Experiments on different fairness tasks confirm the efficacy of our approach.
Venezuelans Teaching Your Self-Driving Car: Science Fiction in the News
Hundreds of thousands of workers from Venezuela signed up to work for these companies last year, in some cases making up as much as 75% of a firm--s workforce. Even today, 75% of search traffic to Mighty AI comes from a site advertising jobs in Venezuela. The companies don--t pay more for data labeling than a platform like Amazon Mechanical Turk, but they do offer a steadier source of income, providing a measure of security for those in a country where inflation recently hit 10 million percent.
Facebook is rolling out its first DATING service that will let users court their 'Secret Crush'
Facebook is taking a swipe at Tinder with a new dating service that is being rolled out today. The newly released service, called Facebook Dating, will harness the power of the platform's user data, including what you like, what events you go to, and what groups you're a part of, to connect you to both Facebook and Instagram users who have opted in. Unlike other major dating apps like Tinder, however, Facebook won't require users to mutually'match' before being able to connect, and instead will let participants browse profiles via a familiar card-style cue and interact with the ones that interest them. Facebook says users can interact with profiles in two ways: by liking a profile to let someone know that they're interested or by commentating directly on a picture. Facebook is jumping into the dating game with its new Facebook Dating service that will allow users to connect with people in and outside of their friend network.
How to protect rainforests with the help of Artificial Intelligence - Microsoft News Centre Europe
Between 2010 and 2050, the global road network is expected to grow by 60 percent. Many of the new roads will emerge in areas that are still undeveloped in Africa, South America or Asia, further limiting the habitats of endangered animals. Many roads are unplanned or even illegally built. In rainforests, which are very important for the global climate, illegal road construction already leads to deforestation, slash-and-burn and colonization.
The race to create a perfect lie detector – and the dangers of succeeding
We learn to lie as children, between the ages of two and five. By adulthood, we are prolific. We lie to our employers, our partners and, most of all, one study has found, to our mothers. The average person hears up to 200 lies a day, according to research by Jerry Jellison, a psychologist at the University of Southern California. The majority of the lies we tell are "white", the inconsequential niceties – "I love your dress!" – that grease the wheels of human interaction. But most people tell one or two "big" lies a day, says Richard Wiseman, a psychologist at the University of Hertfordshire. We lie to promote ourselves, protect ourselves and to hurt or avoid hurting others. The mystery is how we keep getting away with it. Our bodies expose us in every way. We stutter, stall and make Freudian slips. "No mortal can keep a secret," wrote the psychoanalyst in 1905.
On Data-Selective Learning
Adaptive filters are applied in several electronic and communication devices like smartphones, advanced headphones, DSP chips, smart antenna, and teleconference systems. Also, they have application in many areas such as system identification, channel equalization, noise reduction, echo cancellation, interference cancellation, signal prediction, and stock market. Therefore, reducing the energy consumption of the adaptive filtering algorithms has great importance, particularly in green technologies and in devices using battery. In this thesis, data-selective adaptive filters, in particular the set-membership (SM) adaptive filters, are the tools to reach the goal. There are well known SM adaptive filters in literature. This work introduces new algorithms based on the classical ones in order to improve their performances and reduce the number of required arithmetic operations at the same time. Therefore, firstly, we analyze the robustness of the classical SM adaptive filtering algorithms. Secondly, we extend the SM technique to trinion and quaternion systems. Thirdly, by combining SM filtering and partial-updating, we introduce a new improved set-membership affine projection algorithm with constrained step size to improve its stability behavior. Fourthly, we propose some new least-mean-square (LMS) based and recursive least-squares based adaptive filtering algorithms with low computational complexity for sparse systems. Finally, we derive some feature LMS algorithms to exploit the hidden sparsity in the parameters.
The Impact of Artificial Intelligence on CX Sitel Group
AI is already delivering tangible benefits for organizations – but where is the technology headed next? How is artificial intelligence (AI) impacting customer experience (CX) now, and where is it going in the future? What new benefits is it unlocking for organizations and what will it mean for the workforce of tomorrow? These are the questions we posed to five of the industry's leading analysts during EmpowerCX Americas 2019, Sitel Group's annual client event. "Artificial intelligence is already helping contact centers improve two key metrics – reduce cost and improve customer satisfaction," states Juan Gonzalez, Research Director for Frost & Sullivan in Latin America.
Asia-Pacific leads 5G innovation, Huawei enables sustainable development of a digital economy - CRN - India
The 5th Huawei Asia-Pacific Innovation Day was held in Chengdu, China. This year's Innovation Day is themed "Innovation Enables Asia-Pacific Digitization". More than 200 representatives from government, industry and academia of Asia-Pacific countries and regions got together to discuss innovative 5G technologies and applications, sustainable development, as well as technology, humanity, and nature. As a ubiquitous technology, 5G is the cornerstone of a smart world in which everything is connected. Today, as we usher in the 5G era, we are also at a critical stage of digital transformation across industries worldwide.
Emotion Artificial Intelligence Market 2019 Business Scenario – IBM, Microsoft, Eyesight Technologies - OnYourDesks
A New Research on the Global Emotion Artificial Intelligence Market was conducted across a variety of industries in various regions to produce more than 150 page reports. This study is a perfect blend of qualitative and quantifiable information highlighting key market developments, industry and competitors' challenges in gap analysis and new opportunities and may be trending in the Emotion Artificial Intelligence market. Some are part of the coverage and are the core and emerging players being profiled IBM, Microsoft, Eyesight Technologies, Affectiva, NuraLogix, gestigon GmbH, Crowd Emotion, Beyond Verbal, nViso, Cogito Corporation, Kairos. Import and export policies that can have an immediate impact on the global Emotion Artificial Intelligence market. This study includes EXIM * related chapters for all relevant companies dealing with the Emotion Artificial Intelligence market and related profiles and provides valuable data in terms of finances, product portfolio, investment planning and marketing and business strategy. The study is a collection of primary and secondary data that contains valuable information from the major suppliers of the market.