If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Machine Learning has certainly come a long way. The confluence of factors such as the evolution of data growth, advancements in computational algorithm and faster machine processing helped create an ideal environment for Deep Neural network and AI to finally gain adoption in the main stream. Now we have a mother load of data thanks to increasing amount of social sharing and rise of digital devices, Internet of Things (IOT) etc etc. Just look at the data we have accumulated over the last decade since the creation of Online streaming, Social Media, Mobile and Internet of Things (IOTs). We are creating about 1.7MB of new information per human being on the planet.
We'd previously written an opinion piece titled "The case for an artificially intelligent god." This is our counterpoint to that. It's a strange time to be a technology journalist. Somehow artificial intelligence has grown from buzzword to a religion, literally. For tech enthusiasts, it can often be more comfortable to wrap our heads around ideas like algorithms and neural networks than religion and faith.
DJI is inviting state, local and tribal governments to consider partnering with the company as they apply to take part in the Federal Aviation Administration's (FAA) new UAS Integration Pilot Program. According to DJI, the program smartly provides opportunities for government and industry to experiment with advanced drone operations and test new forms of airspace management. The company notes it is pleased that the program will also help inform policymakers on regulatory approaches to safe drone adoption. "DJI has worked for years with government officials around the world to help develop reasonable, safety-enhancing public policies while keeping open the pathways to innovation," says Brendan Schulman, DJI's vice president of policy and legal affairs. "We would very much value the opportunity to work with U.S. state, local and tribal governments to develop smart and comprehensive strategies for expanding how drones can benefit their constituents while properly managing their integration into the airspace."
Here's a story familiar to anyone who does research in data science or machine learning: (1) you have a brand-new idea for a method to analyze data (2) you want to test it, so you start by generating a random dataset or finding a dataset online.(3) You apply your method to the data, but the results are unimpressive. And you introduce a hyperparameter into your method so that you can fine-tune it, until (5) the method eventually starts producing gorgeous results. However, in taking these steps, you have developed a fragile method, one that is sensitive to the choice of dataset and customized hyperparameters. Rather than developing a more general and robust method, you have made the problem easier.
Whenever you spot a trend plotted against time, you would be looking at a time series. The de facto choice for studying financial market performance and weather forecasts, time series are one of the most pervasive analysis techniques because of its inextricable relation to time--we are always interested to foretell the future. One intuitive way to make forecasts would be to refer to recent time points. Today's stock prices would likely be more similar to yesterday's prices than those from five years ago. Hence, we would give more weight to recent than to older prices in predicting today's price.
During a press conference in June 2016, leaders from the Justice and Health and Human Services departments unveiled charges in the largest takedown of Medicare and Medicaid fraud in the nation's history. The final tally was eye-opening: About 300 individuals, including 61 doctors and other medical professionals, were accused of falsifying $900 million worth of medical bills. The success, they said, was due to the Medicare Fraud Strike Force. "The Medicare Fraud Strike Force is a model of 21st century data-driven law enforcement, and it has had a remarkable impact on healthcare fraud across the country," former Assistant Attorney General Leslie Caldwell said at the time. Behind the scenes, officials praised nearly real-time data analytics as a major asset in building their case.
What I like about mxnet is that it combines the best of both worlds in terms of performance and ease of use. Whenever I'm implementing a Convolutional Neural Network I tend to use Keras first. Keras is less verbose than mxnet and is often easier to implement a given neural network architecture training procedure. But when it's time for me to scale up from my initial experiments to ImageNet-size datasets (or larger) I often use mxnet to (1) build an efficiently packed dataset and then (2) train my network on multiple GPUs and/or multiple machines. Since the Python bindings to mxnet are compiled C/C binaries I'm able to milk every last bit of performance out of my machine(s).
How Microsoft Is Making Big Impact With Machine Learning During the last two years, Microsoft has upped the ante on Machine Learning and Analytics. From hiring top notch data scientists to acquiring niche startups, Redmond has made all the right moves to transform Azure into one of the best analytics platforms. These investments have started to pay off for [...] During the last two years, Microsoft has upped the ante on Machine Learning and Analytics. From hiring top notch data scientists to acquiring niche startups, Redmond has made all the right moves to transform Azure into one of the best analytics platforms. These investments have started to pay off for [...]
Google ad revenue rises as machine learning grows Internet giant Google has boosted quarterly revenue with strong advertising sales on mobiles and growing demand for video content. Google chief executive Sundar Pichai says the company continuing to develop machine learning, artificial intelligence and plans to take the internet to remote corners of the world. Internet giant Google has boosted quarterly revenue with strong advertising sales on mobiles and growing demand for video content. Google chief executive Sundar Pichai says the company continuing to develop machine learning, artificial intelligence and plans to take the internet to remote corners of the world.
An interview I read with Ray Kurzweil, Google's Director of Engineering. Both these things have provoked some deep and interesting conversations with people I know, so I thought I'd take a deeper dive into how Artificial Intelligence is going to irrevocably change our lives. Follow the link and read on. There's plenty of links with further reading in this blog too - I recommend them!