recognition


ChinaBang 2018's top 5 AI startups · TechNode

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The times they are a-changin': in 2016, widescale commercial application of artificial intelligence was still a faraway high-tech dream. The ChinaBang Awards did not even have a specialized category for this technology. In the same year, ChinaBang gave out awards to three best AI products, giving a glimpse of the potential that was about to unravel. Here are the five winners of the 7th ChinaBang Awards in the category of Best AI. SenseTime is the most valuable artificial intelligence startup in the world.


8 Best Deep Learning Frameworks for Data Science enthusiasts

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With more and more businesses looking to scale up their operations, it has become integral for them to imbibe both machine learning as well as predictive analytics. AI coupled with the right deep learning framework has truly amplified the overall scale of what businesses can achieve and obtain within their domains. The machine learning paradigm is continuously evolving. The key is to shift towards developing machine learning models that run on mobile in order to make applications smarter and far more intelligent. Deep learning is what makes solving complex problems possible.


Machine Learning Invades Embedded Applications

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Two things have moved deep-neural-network-based (DNN) machine learning (ML) from research to mainstream. The first is improved computing power, especially general-purpose GPU (GPGPU) improvements. The second is wider distribution of ML software, especially open-source software. Quite a few applications are driving adoption of ML, including advanced driver-assistance systems (ADAS) and self-driving cars, big-data analysis, surveillance, and improving processes from audio noise reduction to natural language processing. Many of these applications utilize arrays of GPGPUs and special ML hardware, especially for handling training that uses large amounts of data to create models that require significantly less processing power to perform a range of recognition and other ML-related tasks.


bpmNEXT 2018 Demonstrates Next Gen Processes

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There were some interesting and intense demos of how process would change over time. We all saw process linking with decision management, customer journeys, IoT, process mining, advanced analytics, AI, RPA, Robots, Blockchain, voice and image recognition. There were many dimensions of process evolution practically demonstrated in 30 minute segments. It was clear that process will be involved with significant innovation in the evolving digital world and that transformation is doable in increments. While most of the participants were vendors, there were notable visionary end users like Quicken Loans (the designers of customer journey called "Rocket Mortgage").


Speech Emotion Recognition

Communications of the ACM

Communication with computing machinery has become increasingly'chatty' these days: Alexa, Cortana, Siri, and many more dialogue systems have hit the consumer market on a broader basis than ever, but do any of them truly notice our emotions and react to them like a human conversational partner would? In fact, the discipline of automatically recognizing human emotion and affective states from speech, usually referred to as Speech Emotion Recognition or SER for short, has by now surpassed the "age of majority," celebrating the 22nd anniversary after the seminal work of Daellert et al. in 199610--arguably the first research paper on the topic. However, the idea has existed even longer, as the first patent dates back to the late 1970s.41 Previously, a series of studies rooted in psychology rather than in computer science investigated the role of acoustics of human emotion (see, for example, references8,16,21,34). Blanton,4 for example, wrote that "the effect of emotions upon the voice is recognized by all people. Even the most primitive can recognize the tones of love and fear and anger; and this knowledge is shared by the animals. The dog, the horse, and many other animals can understand the meaning of the human voice. The language of the tones is the oldest and most universal of all our means of communication." It appears the time has come for computing machinery to understand it as well.28 This holds true for the entire field of affective computing--Picard's field-coining book by the same name appeared around the same time29 as SER, describing the broader idea of lending machines emotional intelligence able to recognize human emotion and to synthesize emotion and emotional behavior.


Artificial Intelligence vs Machine Learning vs Deep Learning

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The world as we know it is moving towards machines big time. But we can not fully utilize the working of any machine without a lot of human interaction. So in order to do that, we needed some kind of intelligence for the machines. Here comes the place for Artificial Intelligence. It is the concept of machines being smart to carry out numerous tasks without any human intervention.


Face recognition for galaxies: Artificial intelligence brings new tools to astronomy

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A machine learning method called "deep learning," which has been widely used in face recognition and other image- and speech-recognition applications, has shown promise in helping astronomers analyze images of galaxies and understand how they form and evolve. In a new study, accepted for publication in Astrophysical Journal and available online, researchers used computer simulations of galaxy formation to train a deep learning algorithm, which then proved surprisingly good at analyzing images of galaxies from the Hubble Space Telescope. The researchers used output from the simulations to generate mock images of simulated galaxies as they would look in observations by the Hubble Space Telescope. The mock images were used to train the deep learning system to recognize three key phases of galaxy evolution previously identified in the simulations. The researchers then gave the system a large set of actual Hubble images to classify.


Artificial Intelligence or Useful Information? All Star Incentive Marketing

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Artificial Intelligence (AI) is one of the most exciting new developments in the technology world. Advancements in artificial intelligence in the areas of physics, medicine and other complex environments is mind-boggling. But what exactly is Artificial Intelligence? The dictionary defines it this way: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. In most business applications, artificial intelligence may mean a deeper form of analytical analysis.


Face recognition for galaxies: Artificial intelligence brings new tools to astronomy

#artificialintelligence

A machine learning method called "deep learning," which has been widely used in face recognition and other image- and speech-recognition applications, has shown promise in helping astronomers analyze images of galaxies and understand how they form and evolve. In a new study, accepted for publication in Astrophysical Journal and available online, researchers used computer simulations of galaxy formation to train a deep learning algorithm, which then proved surprisingly good at analyzing images of galaxies from the Hubble Space Telescope. The researchers used output from the simulations to generate mock images of simulated galaxies as they would look in observations by the Hubble Space Telescope. The mock images were used to train the deep learning system to recognize three key phases of galaxy evolution previously identified in the simulations. The researchers then gave the system a large set of actual Hubble images to classify.


Facebook urged to use face recognition to block scam ads

The Guardian

Facebook is facing calls to deploy facial recognition technology to block scam adverts featuring celebrities, after consumer campaigner Martin Lewis launched legal proceedings against the social network over fake promotions claiming his endorsement. Damian Collins, the chair of the parliamentary committee investigating online disinformation, told the Guardian he would ask the social network to consider new ways to block fake promotions when the company's chief technology office appears to answer questions in parliament on Thursday. "Martin Lewis's case highlights yet another failure on the part of Facebook to protect its users," said the Tory MP, who leads the Digital, Culture, Media and Sport Committee. "The fact that the face of a man who has dedicated himself to aiding consumers to spend their money wisely could be used to defraud those very same people is something that Facebook should be ashamed of," he said. "Facebook is able to develop and roll out technology such as facial recognition to increase revenue," he added.