Under the Hood of a Self-Driving Taxi, a Look at Computation and Other Core Self-Driving Car Systems

Introduction Auto-pilot or self-driving is one of the hottest topics these days, especially granted the explosion of deep learning algorithms and neural networks. Influential entrepreneurs and companies are competing with each other to be the first to push this technology into its next phase. Recently Oliver Cameron, CEO of Voyage, who was the former Udacity […]

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Futuristic & RADIAnt Win ATEC 2017 Developer Challenge

Innovative teams at this year’s ATEC Developer Challenge showed how state-of-the-technologies such as augmented reality and big data analytics can expand the functionalities of digital payment platforms far beyond simple money transfers. Held October 11-12 in San Francisco, the Challenge featured teams of top university students, experienced developers, startup founders, serial Hackathon winners and other […]

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Shi is Key to Ma’s NASA

Yaoyun Shi recently flew from his Michigan home to Stanford University in sunny California to give a speech on quantum technology. Hundreds of students from the Bay Area’s top universities were waiting for him. The rock star reception reflected Shi’s new position as Chief Scientist of Quantum Technology at Alibaba Cloud. Chinese e-commerce giant Alibaba […]

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AI Abuzz over CycleGan Face Swapping Video

Don’t be surprised if tomorrow’s YouTube Stars are not real, because advanced deep learning models may soon make virtual talking heads indistinguishable from today’s flesh-and-blood hosts. YouTuber “TJWei” recently uploaded a “Face-off” video on YouTube. The four-minute split-screen clip sees two figures speaking and emoting simultaneously. Both look human, but one is an entity generated […]

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Advanced Vision Algorithm Helps Robots Learn to See in 3D

Abstract Researchers from Brown University and Duke University introduced a new object representation that allows the robots to identify three-dimensional objects with partially obscured geometry. They claimed that this method, called the Bayesian Eigenobjects (BEOs), was the first technique which could perform joint classification, pose estimation, and 3D geometric completion. In addition, BEOs outperformed extremely […]

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Deep Direct Regression for Multi-Oriented Scene Text Detection

1. Introduction Text detection is a procedure that determines whether the text is present in natural images and, if it is, where each text instance is located. Text in images provides rich and precise high-level semantic information, which is important for numerous potential applications, such as scene understanding, image and video retrieval, and content-based recommendation […]

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RIP Theano

Before TensorFlow, PyTorch and Caffe; Theano was the major library for deep learning development. However, the library’s development and support will end after the upcoming Theano 1.0 release. The news came in an email from Theano’s main developer Pascal Lamblin and Yoshua Bengio, notable expert on artificial neural networks and deep learning. “We will continue […]

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Fake AI vs. Real AI

This August, an article headlined “How to convince Venture Capitalists you’re an expert in Artificial Intelligence” went viral after outlining strategies to bluff investors hungry for AI. Suggestions included: “propose your own ‘Net’”, “reference a paper on Arxiv as if everyone has read it”, and “sign up for the Google TPU Alpha”. McKinsey & Company […]

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A Brief Overview of Attention Mechanism

What is Attention? Attention is simply a vector, often the outputs of dense layer using softmax function. Before Attention mechanism, translation relies on reading a complete sentence and compress all information into a fixed-length vector, as you can image, a sentence with hundreds of words represented by several words will surely lead to information loss, […]

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Machine Teaching A New Paradigm for Building Machine Learning Systems

When it comes to the modern development of artificial intelligence, people always focus on neural networks, machine learning etc. Most of the work done in both industry and academia is about performance modeling and optimization of the learning algorithm and network architecture, which is basically from a learner’s perspective. Recently, Microsoft Research group proposed to […]

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