Asia
Compressively Sensed Image Recognition
Degerli, Aysen, Aslan, Sinem, Yamac, Mehmet, Sankur, Bulent, Gabbouj, Moncef
Compressive Sensing (CS) theory asserts that sparse signal reconstruction is possible from a small number of linear measurements. Although CS enables low-cost linear sampling, it requires non-linear and costly reconstruction. Recent literature works show that compressive image classification is possible in CS domain without reconstruction of the signal. In this work, we introduce a DCT base method that extracts binary discriminative features directly from CS measurements. These CS measurements can be obtained by using (i) a random or a pseudo-random measurement matrix, or (ii) a measurement matrix whose elements are learned from the training data to optimize the given classification task. We further introduce feature fusion by concatenating Bag of Words (BoW) representation of our binary features with one of the two state-of-the-art CNN-based feature vectors. We show that our fused feature outperforms the state-of-the-art in both cases.
Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution
Fu, Di, Barros, Pablo, Parisi, German I., Wu, Haiyan, Magg, Sven, Liu, Xun, Wermter, Stefan
The efficient integration of multisensory observations is a key property of the brain that yields the robust interaction with the environment. However, artificial multisensory perception remains an open issue especially in situations of sensory uncertainty and conflicts. In this work, we extend previous studies on audio-visual (AV) conflict resolution in complex environments. In particular, we focus on quantitatively assessing the contribution of semantic congruency during an AV spatial localization task. In addition to conflicts in the spatial domain (i.e. spatially misaligned stimuli), we consider gender-specific conflicts with male and female avatars. Our results suggest that while semantically related stimuli affect the magnitude of the visual bias (perceptually shifting the location of the sound towards a semantically congruent visual cue), humans still strongly rely on environmental statistics to solve AV conflicts. Together with previously reported results, this work contributes to a better understanding of how multisensory integration and conflict resolution can be modelled in artificial agents and robots operating in real-world environments.
Corti heart attack detection AI can now deploy on the edge with Scandinavian design
Work is underway to deploy Corti, an AI system that detects heart attacks during emergency phone calls, and it could be coming to some of the biggest cities in Europe. Following plans announced earlier this year to roll Corti out in more cities, this summer the European Emergency Number Association (EENA), whose members include cities like London, Paris, Milan, and Munich, will deliver AI-powered assistance to emergency 112 operators. In initial trials, this assistance was found to identify cardiac arrest events more quickly than human operators. Emergency call centers from Seattle to Singapore also want to make Corti part of their operations, but there's no global standard for organizations working to save lives. Some are fine with the idea of deploying the AI through the cloud, while others with privacy concerns require the AI system to operate from on-premise servers.
Gartner Announces Winners of the 2018 Gartner Eye on Innovation Award Americas
ORLANDO, Fla.--(BUSINESS WIRE)--Gartner, Inc. has announced the winners of the 2018 Gartner Eye on Innovation Award for financial services in the Americas. The award recognizes innovative use of digital technology-enabled capabilities, products or services to highlight "best-in-class" financial industry initiatives launched within the past 12 months and to offer insight about developments in digital innovation. The finalists presented their case studies during Gartner Symposium/ITxpo, which is taking place here through Thursday, and BMO Bank of Montreal was selected as the regional 2018 Gartner Eye on Innovation Award Americas winner by the attendees at the event. Allstate and Liberty Mutual Insurance were also named as award recipients. BMO Bank of Montreal -- BMO Bank of Montreal created an entirely new way to pay bills by applying machine learning capabilities to recognize the biller, payee, account number, amount and due date across a range of corporations and statement formats.
Video: Etisalat unveils autonomous flying car at Gitex
The UAE is witnessing the increased adoption of advanced technologies. Etisalat is taking a giant leap by launching the 5G network, investing in futuristic technologies and smart services, says its top official. On Sunday, Etisalat--has unveiled autonomous flying car at the--Gitex Technology Week 2018 in Dubai. Saleh Abdullah Al Abdooli, chief executive officer, Etisalat Group, said 5G will be one of the key highlights for etisalat in showcasing the future of urbanism and mobility at the Gitex Technology Week, starting today. "5G will be a game changer for the telecom industry with its rich potential, an evolution that would elevate services, performance and enablement. Such new technologies are one of the gateways enabling the UAE's digital aspiration/vision, market trends and etisalat's long-term strategy," Abdooli told Khaleej Times during an interview ahead of the region's premier technology event.
Huawei aims to help train 1 million AI talents in 3 years
Technology giant Huawei aims to help train one million artificial intelligence (AI) talents in the next three years to boost the fast-expanding sector. Huawei will provide free online training, organise boot camps and collaborate with industry players. It will also set up a one billion yuan (S$199 million) fund for universities and research institutes to support AI talent development. Mr Zheng Yelai, Huawei's vice-president and president of its cloud business unit, announced this yesterday, the last day of the Huawei Connect Conference in Shanghai. The move is in line with China's push to become a global AI powerhouse in the next decade.
Could an artificial intelligence be considered a person under the law?
Sophia, a robot granted citizenship in Saudi Arabia. In the U.S., corporations have been given rights of free speech and religion. Some natural features also have person-like rights. A new argument has laid a path for artificial intelligence systems to be recognized as people too โ without any legislation, court rulings or other revisions to existing law. Legal scholar Shawn Bayern has shown that anyone can confer legal personhood on a computer system, by putting it in control of a limited liability corporation in the U.S. If that maneuver is upheld in courts, artificial intelligence systems would be able to own property, sue, hire lawyers and enjoy freedom of speech and other protections under the law.
Society is at a "crossroads" when it comes to artificial intelligence -- and a technology executive explains why we need to be careful
The AI revolution has the promise to unlock boundless potential for businesses: from better products and services, to faster innovation and unimaginable leaps in productivity. But, like all great technological advancements, AI also has the potential to create numerous economic, political and social challenges, depending upon how it is used and implemented. Because of that, the use of AI technology needs to be governed by clear rules of ethics -- defined at the outset of this new era, instead of later on, when abuses or ill-considered practices could be far more difficult to control. This is not the first time society has been at a crossroads where we face new technological powers that can serve great and worthy purposes or be abused to support some very bad ones. Yet one thing is clear and remains in our power: artificial intelligence, will never substitute for human wisdom or moral responsibility.
East vs West in a race for AI supremacy
Asian startups, including China-backed ventures, are struggling to keep pace with Western rivals in several spheres of artificial intelligence (AI) development, new research shows. And their reluctance to embrace and endorse emerging industry standards may eventually leave them isolated from potential strategic partners and blocked from particular market segments. China leads the pack in Asia with 383 AI startups, according to studies by consultancy Roland Berger and investment firm Asgard Capital, both based in Germany. However, Beijing is still well behind the US, home to 1,393 startups, according to the same research. Japan (113 startups), India (82), South Korea (42) and Singapore (35) are the other Asian pacesetters; Australia has 27 startups in Oceania.