competition


Trusting AI, bitcoin and the future media – Hacker Noon

#artificialintelligence

Between emojis, I write about the delicate dance between exponential technologies and our society. DeepMind's new AlphaZero can teach itself to become super-human in a variety of different games in a matter of hours. Analysis on Chess.com is particularly good, pointing to a different quality to AlphaZeros' tactical and positional play. This more efficient method of searching the probability space seems to be important. Many real-world applications involve far too many degrees of freedom to be'brute forced'.


Hoo-boy! This damning Uber letter is a wild ride

Mashable

The disasters that former Uber CEO Travis Kalanick left in his wake at his popular ride-hailing app company was one of this year's biggest tech industry stories. Now, as we wrap up the year, Uber (through a court case) has gifted us a letter detailing many of the company's alleged wrongdoings and spy tactics. The so-called Jacobs letter was written by an attorney representing Richard Jacobs, a former Uber security analyst. It alleges shady and potential illegal operations, including how Uber employees monitored the competition and acquired trade secrets. SEE ALSO: Uber's new CEO says he banned employees from using secure messaging apps for Uber business The letter is among the evidence in the trial between Uber and Waymo, Alphabet's self-driving car division.


Gradient Boosting from scratch – ML Review – Medium

@machinelearnbot

Although most of the Kaggle competition winners use stack/ensemble of various models, one particular model that is part of most of the ensembles is some variant of Gradient Boosting (GBM) algorithm. Take for an example the winner of latest Kaggle competition: Michael Jahrer's solution with representation learning in Safe Driver Prediction. His solution was a blend of 6 models. 1 LightGBM (a variant of GBM) and 5 Neural Nets. Although his success is attributed to the new semi-supervised learning that he invented for the structured data, but gradient boosting model has done the useful part too. Even though GBM is being used widely, many practitioners still treat it as complex black-box algorithm and just run the models using pre-built libraries.


AI advances at detecting cancer -- but it can't see you now

#artificialintelligence

"It is the early days," Aidoc CEO Elad Walach says. "There's not enough research at this point. Deep learning has been commoditized generally but it hasn't been commoditized for the medical domain. The algorithms out there aren't good enough as is. We need a lot of R&D to make AI work in this space.


Is iRobot A Good Stock For The Robotics Revolution?

#artificialintelligence

What better stock to review first for robots and AI month than one of the most familiar names in the space: iRobot (IRBT)? For one, as mentioned, the company is familiar. I would reckon that pretty much everyone reading this either has a Roomba, knows someone who has one, or at the very least knows what it is! Secondly, the company has an extremely easy-to-understand business model. And third, iRobot is very much a "pure play" on the robotics trend, in a space where a lot of the advancements are taking place within the "skunk works" divisions of larger, more diversified companies that make their money in other ways.


Use machine learning to find energy materials

#artificialintelligence

The world needs more energy. Governments and companies are investing billions of dollars in technologies to harvest, convert and store power1. And as silicon solar cells approach the limit of their performance, researchers are looking to alternatives based on perovskites and quantum dots2. The batteries that store the energy must get cheaper, more efficient and longer-lasting3. And devices need to be manufactured from safe and abundant materials such as copper, nickel and carbon rather than from lead, platinum or gold.


Study: AI Really Could Be a Breakthrough for Cancer Detection

Mother Jones

If you haven't lost your job to a computer yet, you probably will. Experts predict that robots will be folding laundry for us in the next five years, driving trucks in the next 10, and performing surgery in the next 40. And, they predict, they'll be doing it better than humans. This could lead to a massive shift in our economy, setting off an "era of mass joblessness and mass poverty," as Mother Jones' Kevin Drum recently reported. But what if technology being able to perform tasks better than humans also meant we'd be saving more lives?


Google opens AI centre in China as competition heats up

Daily Mail

Google announced Wednesday that it will open a new artificial intelligence research centre in Beijing, tapping China's talent pool in the promising technology despite the US search giant's exclusion from the country's internet. Artificial intelligence, especially machine learning, has been an area of intense focus for American tech stalwarts Google, Microsoft and Facebook, and their Chinese competitors Alibaba, Tencent and Baidu as they bid to master what many consider the future of computing. AI research has the potential to boost developments in self-driving cars and automated factories, translation products and facial recognition software, among other innovations. Google announced Wednesday that it will open a new artificial intelligence research centre in Beijing, tapping China's talent pool in the promising technology despite the US search giant's exclusion from the country's internet. Google announced in December that it will open a new artificial intelligence research centre in Beijing, tapping China's talent pool in the promising technology despite the US search giant's exclusion from the country's internet.


Facing competition from Amazon, Google slashes cloud machine learning prices - SiliconANGLE

#artificialintelligence

Google Inc. has reacted to the launch of rival Amazon Web Services Inc.'s SageMaker machine learning service by dramatically slashing the cost of its own offering. Technology news website VentureBeat first reported the price cuts, citing a blog posted online by Google that was later removed. However, the new prices for its managed cloud machine learning service are reflected in the company's official documentation. The cuts are fairly significant, with customers now being charged 43 percent less than before for Google's basic tier compute service for training machine learning algorithms, VentureBeat reported. It's not clear why Google's blog post was pulled, but it could have something to do with a couple of other new services the company is planning to launch soon.


Google opens AI center in China despite exclusion from nation's internet

The Japan Times

BEIJING – Google announced Wednesday that it will open a new artificial intelligence research center in Beijing, tapping China's talent pool in the promising technology despite the U.S. search giant's exclusion from the country's internet. Artificial intelligence, especially machine learning, has been an area of intense focus for American tech stalwarts Google, Microsoft and Facebook, and their Chinese competitors Alibaba, Tencent and Baidu as they bid to master what many consider the future of computing. AI research has the potential to boost developments in self-driving cars and automated factories, translation products and facial recognition software, among other innovations. Google's move to open a Beijing office focused on fundamental research is an indication of China's AI talent, widely seen as being neck-and-neck with the United States in research capability. "Chinese authors contributed 43 percent of all content in the top 100 AI journals in 2015," Li Feifei, a researcher leading the new center, wrote in a blog post on Google's website.