eNet and Ciweek rankings of the top Chinese AI companies in 2021, breaking them down into seven layers: Cognitive (technology); Perception (technology); Computing (technology); Infrastructure; Smart Terminals; Scene Applications, and Comprehensive. Some surprises include Mininglamp overtaking Baidu and Alibaba in knowledge graphs within the Cognitive layer. Read More
#china-aiMonthly Archives: May 2021
Projected Distribution Loss for Image Enhancement
Features obtained from object recognition CNNs have been widely used for measuring perceptual similarities between images. Such differentiable metrics can be used as perceptual learning losses to train image enhancement models. However, the choice of the distance function between input and target features may have a consequential impact on the performance of the trained model. While using the norm of the difference between extracted features leads to limited hallucination of details, measuring the distance between distributions of features may generate more textures; yet also more unrealistic details and artifacts. In this paper, we demonstrate that aggregating 1D-Wasserstein distances between CNN activations is more reliable than the existing approaches, and it can significantly improve the perceptual performance of enhancement models. More explicitly, we show that in imaging applications such as denoising, super-resolution, demosaicing, deblurring and JPEG artifact removal, the proposed learning loss outperforms the current state-of-the-art on reference-based perceptual losses. This means that the proposed learning loss can be plugged into different imaging frameworks and produce perceptually realistic results. Read More
From conversation to code: Microsoft introduces its first product features powered by GPT-3
At its Build developers conference, Microsoft unveiled its first features in a customer product powered by GPT-3, the powerful natural language model developed by OpenAI, which will help users build apps without needing to know how to write computer code or formulas.
GPT-3 will be integrated in Microsoft Power Apps, the low code app development platform that helps everyone from people with little or no coding experience — so-called “citizen developers” — to professional developers with deep programming expertise build applications to improve business productivity or processes. Read More
Can you teach a machine to think?
The road to building an artificial general intelligence begins with stopping current AI models from perpetuating racism, sexism, and other forms of pernicious bias.
“Building a machine that can think and do things that people can do has been the goal of AI since the very beginning, but it’s been a long, long struggle. And past hype has led to failure. So this idea of artificial general intelligence has become, you know, very controversial and very divisive — but it’s having a comeback.” Read More
What Does Your Gaze Reveal About You? On the Privacy Implications of Eye Tracking
Technologies to measure gaze direction and pupil reactivity have become efficient, cheap, and compact and are finding increasing use in many fields, including gaming, marketing, driver safety, military, and healthcare. Besides offering numerous useful applications, the rapidly expanding technology raises serious privacy concerns. Through the lens of advanced data analytics, gaze patterns can reveal much more information than a user wishes and expects to give away. Drawing from a broad range of scientific disciplines, this paper provides a structured overview of personal data that can be inferred from recorded eye activities. Our analysis of the literature shows that eye tracking data may implicitly contain information about a user’s biometric identity, gender, age, ethnicity, body weight, personality traits, drug consumption habits, emotional state, skills and abilities, fears, interests, and sexual preferences. Certain eye tracking measures may even reveal specific cognitive processes and can be used to diagnose various physical and mental health conditions. By portraying the richness and sensitivity of gaze data, this paper provides an important basis for consumer education, privacy impact assessments, and further research into the societal implications of eye tracking. Read More
Artificial Intelligence and Autonomy in Russia
The Russian leadership views the ability to innovate as one of the hallmarks of a great power and sees military innovation as essential to Russia’s overall defense posture in a changing threat environment. The goals of Russia’s artificial intelligence (AI) and autonomous
ecosystem are best understood within the context of Russia’s economic development and
modernization efforts, and include those initiatives aimed at the improvement of the well being of Russian citizens as well as the conditions for business and entrepreneurial activity.
The following report details the Russian AI ecosystem and is part of a yearlong effort,
conducted on behalf of the Department of Defense Joint Artificial Intelligence Center (JAIC), to
understand the evolving field of AI and autonomy in Russia. While focusing on AI and
autonomy, the report also seeks to place AI within the larger technological environment in
Russia Read More
Understanding Transformers, the machine learning model behind GPT-3
How this novel neural network architecture changes the way we analyze complex data types
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You know that expression When you have a hammer, everything looks like a nail? Well, in machine learning, it seems like we really have discovered a magical hammer for which everything is, in fact, a nail, and they’re called Transformers. Transformers are models that can be designed to translate text, write poems and op eds, and even generate computer code. In fact, lots of the amazing research I write about on daleonai.com is built on Transformers, like AlphaFold 2, the model that predicts the structures of proteins from their genetic sequences, as well as powerful natural language processing (NLP) models like GPT-3, BERT, T5, Switch, Meena, and others. You might say they’re more than meets the… ugh, forget it.
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If you want to stay hip in machine learning and especially NLP, you have to know at least a bit about Transformers. So in this post, we’ll talk about what they are, how they work, and why they’ve been so impactful. Read More
There’s a Hole at the Bottom of Math
Why AI is the key to robust anti-abuse defenses
This series of posts explains why artificial intelligence (AI) is the key to building anti-abuse defenses that keep up with user expectations and combat increasingly sophisticated attacks. The first post of the series provides a concise overview of how to harness AI to build robust anti-abuse protections. The remaining posts delve into the top 10 anti-abuse specific challenges encountered while applying AI to abuse fighting, and how to overcome them. Following the natural progression of building and launching an AI-based defense system, the second post covers the challenges related to training, the third post delves into classification issues and the fourth and final post looks at how attackers go about attacking AI-based defenses. Read More
China’s Artificial Intelligence Industry Alliance
Understanding China’s AI Strategy Through Industry Alliances
The Chinese leadership has put artificial intelligence (AI) front and center in China’s industrial development. As part of this strategy, they have established industry alliances [产业联盟]—collaboration platforms involving local governments, academic institutions, and companies.
This data brief providesa high-level assessment of the role ofindustry alliances in China’s AI strategy and closely examines onemajor group: the Artificial Intelligence Industry Alliance (AIIA) [中国人工智能产业发展联盟]. Through the AIIA, the Chinese government aims to foster collaboration among local governments, academic institutions, and companies. In some cases, the Chinese state uses the AIIA to “pick winners,”choosing among favored companies in the AI industry to receive government subsidies. Read More
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