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r/MachineLearning - [R]: Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates

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The authors use a classic Armijo line-search approach in the context of SGD to automatically tune the line search parameter in training the neural networks. They're also able to prove convergence results on minimizing convex and non-convex objective functions satisfying certain growth conditions. An aside, but as an optimization-head myself, it's nice to see some of the traditional optimization ideas make their way into an ML context.


Global Artificial Intelligence (AI) in Manufacturing Market Will Reach USD 18.5 Billion By 2025: Zion Market Research

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The escalating need for human-robot collaboration in the manufacturing industry for overall cost reduction is significantly driving the global artificial intelligence (AI) in manufacturing market. Robots play a crucial role in the manufacturing industry. Due to constant technological enhancements, it is predicted that the overall workforce and manpower will be replaced by robots in the future. AI-based robots are capable of monitoring every single stage of the manufacturing procedure and later provide gathered information through analytics software. As per the analysis of the International Federation of Robotics (IFR), a number of industrial robots deployed in factories accounted for over 1.3 million globally in 2018.


AI Trained on 100 Million Opinions Can Predict What People Will Think of Your Photos - Profiled

#artificialintelligence

TL;DR: A record-shattering new AI called Photofeeler-D3 can predict first impressions from a photo or video. Soon, Photofeeler-D3 could help you pick the most flattering photos from your camera roll, recommend glasses for your face, and more. Which of your Tinder pics make you look attractive, smart, or trustworthy? A new artificial intelligence model, Photofeeler-D3, has the answer. Photofeeler-D3 gets its name for representing the three Dating-category traits on Photofeeler.


Artificial Intelligence to Reach Human-Level Intelligence by 2040

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NEORIS, a digital transformation service provider that accelerates the digital capabilities of global enterprises, today unveiled its most recent analysis entitled Artificial Intelligence: Rethinking Humanity's Evolution. The comprehensive assessment cites the latest trends in Artificial Intelligence (AI) and presents a compelling thesis, by 2040 the world will see an AI-triggered transcendental shift on humanity's evolution. Since AI's inception in 1956, in the form of "a machine that could think," AI continues to evolve and impact society, businesses and humanity. Its cognitive tools have systematically reshaped how people and companies interact and possesses the power to radically transform business exchanges and human capabilities. "Research and current advancements tell us that the future of AI will be less artificial and more intelligent. AI will inevitably either reach human-level intelligence or cause human parity," says Anthony DeLima, Head of Digital Transformation and CTO at NEORIS.


E3 2019: In 'Star Wars Jedi: Fallen Order,' video game you become a Jedi Knight

USATODAY - Tech Top Stories

Respawn Entertainment CEO Vince Zampella and game developer Stig Asmussen give the latest details about Star Wars Jedi: Fallen Order. Cal Kestis is the main character in the upcoming video game "Star Wars Jedi: Fallen Order," due out November 15 on Xbox One, PlayStation 4, and PC (you can pre-order now). He's a young Padawan – a Jedi in training – when then-Chancellor Palpatine issues Order 66, a purge to kill all Jedi, an event that takes place in the 2005 film "Episode III – Revenge of the Sith." In'Star Wars Jedi: Fallen Order,' the Jedi Padawan Cal Kestis is forced into action against the Empire. In hiding at the game's beginning, Cal (who is played by "Gotham" star Cameron Monaghan) is forced to use his Jedi skills and now is among the hunted.


Artificial Intelligence: What's Hype & What's Certain? - IoT Business News

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Regardless of which piece of visual media or literature first instilled thoughts of artificial intelligence in our minds, it had quite the effect on us. Despite AI being very much a part of our current society, many of us don't realize it's here. Instead we're fixed on dystopian futures and malevolent machines. In reality, AI is disrupting dozens of sectors. From healthcare and transportation to fintech and telecommunications -- more than 154,000 AI patents have been filed since 2010 alone.


IMF warns of giant tech firms' dominance

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Giant technology companies might cause significant disruption to the world's financial system, the head of the International Monetary Fund has warned. Christine Lagarde said just a few firms with big data access and artificial intelligence could run the global payment and settlement arrangements. Her warning came as the G20 finance ministers met in Japan. The summit is also discussing the need to close tax loopholes for internet giants like Facebook and Google. One of the options being considered is to tax such companies where they make their profits - rather than where they base their headquarters.


How A.I. Could Be Weaponized to Spread Disinformation

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Tech giants like Facebook and governments around the world are struggling to deal with disinformation, from misleading posts about vaccines to incitement of sectarian violence. As artificial intelligence becomes more powerful, experts worry that disinformation generated by A.I. could make an already complex problem bigger and even more difficult to solve. In recent months, two prominent labs -- OpenAI in San Francisco and the Allen Institute for Artificial Intelligence in Seattle -- have built particularly powerful examples of this technology. Both have warned that it could become increasingly dangerous. Alec Radford, a researcher at OpenAI, argued that this technology could help governments, companies and other organizations spread disinformation far more efficiently: Rather than hire human workers to write and distribute propaganda, these organizations could lean on machines to compose believable and varied content at tremendous scale.