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Researchers uncover algorithm which may solve human intelligence ZDNet

#artificialintelligence

The key element which separates today's artificial intelligence (AI) systems and what we consider to be human thought and learning processes could be boiled down to no more than an algorithm. That's according to a recent paper published in the journal Frontiers in Systems Neuroscience, which suggests that despite the complexity of the human brain, an algorithm may be all it takes for our technological creations to mimic our way of thinking. As reported by Business Insider, the idea that human thought can be whittled down to an algorithm lies in the "Theory of Connectivity," which proposes that human intelligence is rooted in "a power-of-two-based permutation logic (N 2i-1)" algorithm, capable of producing perceptions, memories, generalized knowledge and flexible actions, according to the paper. First proposed in 2015, the theory suggests that how we acquire and process knowledge can be explained by how different neurons interact and align in separate areas of the brain. It may also be that our brain power is based on "a relatively simple mathematical logic," according to Dr. Joe Tsien, neuroscientist at the Medical College of Georgia at Augusta University and author of the paper.


What's a CFO's Biggest Fear, and How can Machine Learning help?

@machinelearnbot

Bob, CFO of ABC Inc is about to get on an earnings call after just reporting a 20% miss on earnings due to slower revenue growth than forecasted. Company ABC's stock price is plummeting, down 25% in extended hour trading. The board is furious and investors demand answers on the discrepancies. Unlike humans, algorithms can simulate numerous scenarios and recognize patterns that keep re-emerging in the data. It is also not limited to structured data and can examine unstructured data such as emails and logs to extract meaningful indicators.


MIT's machine learning system helps understand how humans recognise faces

#artificialintelligence

How do humans recognise face from any given angle? That's a puzzle that scientists at MIT have been trying to solve and as a step towards that ultimate goal have developed a new machine learning system that effectively shows what could be going on inside our brains when facial recognition is being carried out. The work is being dubbed as a study of social intelligence which is an important part of human intelligence by Tomaso Poggio, a professor of brain and cognitive sciences at MIT and director of the Center for Brains, Minds, and Machines (CBMM). The paper published in Current Biology described a theory that explains how our visual system learns to compute invariant descriptions of an object and applies to the case of faces where scientists have been able to make the machine recognise a face that it has seen only once from a certain point and scale it to other points. For example the machine would have been trained to see the face from 90 degrees, but not from 45 degrees; however, through its intelligence it learns to recognise the face when it is shown at an angle of 45 degree rotation.


Quant Trading using Machine Learning - Udemy

@machinelearnbot

Prerequisites: Working knowledge of Python is necessary if you want to run the source code that is provided. Basic knowledge of machine learning, especially ML classification techniques, would be helpful but it's not mandatory. Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. Completely Practical: This course has just enough theory to get you started with both Quant Trading and Machine Learning.


Dashbot Raises $2M Seed Round

#artificialintelligence

Dashbot, the leading bot analytics platform, today announced it has raised $2 million in a Series Seed funding round. 'We strongly believe that AI-driven insights and tools-coupled with engaging conversational interfaces-can significantly bolster organizations' bottom lines in an efficient way. Dashbot is doing just that, and is essential for any enterprise or developer to build and monetize their bots in a technology environment increasingly harnessing AI's potential' Tweet this Dashbot provides bot-specific analytics and tools to enable brands and developers to increase user acquisition, engagement, and monetization. In addition to bot-specific metrics like sentiment analysis, conversational analytics, and AI response effectiveness, Dashbot provides tools to take action on that data, like its Live Person Takeover of chat sessions and Push Notifications for re-engagement. Dashbot is a cross platform solution which natively supports Facebook Messenger, Slack, and Kik bots, and has a generic API for any conversational interface.


Regression Machine Learning with R - Udemy

@machinelearnbot

It explores main concepts from basic to expert level which can help you achieve better grades, develop your academic career, apply your knowledge at work or make business forecasting related decisions. Read data files and perform regression machine learning operations by installing related packages and running script code on RStudio IDE. Approximate ensemble methods such as random forest regression and gradient boosting machine regression to enhance decision tree regression prediction accuracy. Analyze multi-layer perceptron methods such as optimal number of hidden nodes artificial neural network. Read data files and perform regression machine learning operations by installing related packages and running script code on RStudio IDE.


In OpenAI's Universe, Computers Learn to Use Apps Like Humans Do

WIRED

OpenAI, the billion-dollar San Francisco artificial intelligence lab backed by Tesla CEO Elon Musk, just unveiled a new virtual world. It's called Universe, and it's a virtual world like no other. It's a place where AI can learn to do just about anything. Other AI labs have built similar worlds where AI agents can learn on their own. Researchers at the University of Alberta offer the Atari Learning Environment, where agents can learn to play old Atari games like Breakout and Space Invaders. Microsoft offers Malmo, based on the game Minecraft.


How To Become A Learning Machine and Discover Your Genius!

#artificialintelligence

"How to Become a Super Learning Machine" is an excellent course that focuses on the practical basics of how to learn. The course teaches students about the right attitude to take when learning, the best way to absorb knowledge and how to set goals and achieve them. Thanks to my experience as a teacher, I went into the course understanding most of the concepts that Joe Parys covers. However, thanks to Joe's progressive and hybrid attitude towards learning I was able to take away some new things that have already helped me in my studies. First, Joe covers the importance of surrounding yourself with positive influence.


Stanford study concludes next generation of robots won't try to kill us

#artificialintelligence

It sounds like we can all take a breath and forget about robot attacks occurring -- at least anytime soon. Robots turning against their makers is a common theme in science fiction. However, there's "no cause for concern that AI poses an imminent threat to humanity," according to Fast Company, citing the first report from the One Hundred Year Study on Artificial Intelligence (AI100). The Stanford University-hosted project represents a standing committee of AI scientists. The AI100 project is ongoing but will not issue reports annually -- the next one will be published "in a few years."


China chases Silicon Valley talent unnerved by Trump

#artificialintelligence

China is trying to capitalize on President-elect Donald Trump's hardline immigration stance and vow to clamp down on a foreign worker visa program that has been used to recruit thousands from overseas to Silicon Valley. Leading tech entrepreneurs, including Robin Li, the billionaire CEO of Baidu, China's largest search engine, see Trump's plans as a huge potential opportunity to lure tech talent away from the United States. The country already offers incentives of up to $1 million as signing bonuses for those deemed "outstanding" and generous subsidies for start-ups. Meanwhile, the Washington Post last month reported on comments made by Steve Bannon, who is now the president-elect's chief strategist, during a radio conversation with Trump in Nov. 2015. "When two-thirds or three-quarters of the CEOs in Silicon Valley are from South Asia or from Asia, I think ...," Bannon said, trailing off.