As many noted during the AI Now Experts' Workshop, the means to create and train AI systems are expensive and limited to a handful of large actors. Or, put simply, it's not possible to DIY AI without significant resources. Training AI models requires a huge amount of data – the more the better. It also requires significant computing power, which is expensive. This limits fundamental research to those who can afford such access, and thus limits the possibility of democratically creating AI systems that serve the goals of diverse populations.

Python is one of the fastest-growing platforms for applied machine learning. In this mini-course, you will discover how you can get started, build accurate models and confidently complete predictive modeling machine learning projects using Python in 14 days. This is a big and important post. You might want to bookmark it. Python Machine Learning Mini-Course Photo by Dave Young, some rights reserved.

Volkswagen made international headlines this year when the company had to shell out 15 billion after a high-profile emissions scandal rocked the automaker and left its future uncertain. It's a prime example of the type of situation David Copps is trying to prevent with his Dallas-based AI business, Brainspace. "If they had known who said what and when early on in terms of all the emissions problems that they're having, they potentially could've saved 12 billion," Copps says. That's where he sets his sights with Brainspace. The company uses AI and machine learning to enable organizations to garner insights from the data they accumulate each business day, faster than ever before.

Before I start, allow me to thank you all for your super interesting comments on last week's post. I love hearing and learning from all of you! For about a year I've come across a few stories about beauty contests being judged by robots, that is Artificial Intelligence. By measuring people's (let's face it, women's) facial structures these robots can accurately determine beauty. And given the judges are robots versus actual humans, we assume that the judgements are devoid of cultural or ethnic biases.

We've all enjoyed the simple benefits of Google's artificial intelligence photo recognition. Google Photos employs a very stripped down version of the algorithm to identify pictures as containing cats, dogs, food, or specific people. However, the search giant has been working on much more advanced photo recognition capabilities, and today they've released their progress to developers. The Google Research Blog reports that the Google Brain team's AI image captioning system has achieved a 93.9 percent accuracy rating. Their results in 2014 used the Inception V1 image classification model and achieved 89.6 percent accuracy.

Accessing data for investment decisions on environmental, social and governance (ESG) factors can be challenging. Will artificial intelligence (AI) come to the rescue? Responsible investing covers a multitude of issues and risks -- from regulatory, social and cultural issues through to product liabilities, political risk and intellectual property matters to name just a few. Register now -- ESG webinar 28 Sep 2016: Can FinTech and AI solve the ESG data puzzle? The data generated are often unstructured but still need to be processed in real-time to be effective.

The ongoing dialogue about whether or not artificial intelligence will take away jobs and replace people has been going on for a while now. But what a lot of people are ignoring is the fact that robots will never be able to replace humans. They might replace tasks that are easily automated or even jobs that are basically task-oriented or repetitive. However, they will never be able to replace jobs where the personal element is key. Let me give you an example. Nursing is a thankless job that requires tireless effort, standing and walking around all day, dealing with cranky patients, doing crazy shifts, being ordered around by doctors and specialists… if you're a nurse you'll know what I mean.

With the rise of brain-controlled robotic arms, innovative biomedical implants, and life saving medical treatments, it appears as though in the modern day, were to conquering departure. Some expect to draw out the life that is human forever. Singularity proponents expect that eventually nicely have the ability to upload our consciousness to computers. The business Humai plans to bring people back from the dead. Were using nanotechnology and artificial intelligence to save info of thought processes, behavioral patterns, conversational styles and tips about how your body functions from the inside out.

Yann LeCun is the Director of AI Research at Facebook since December 2013, and Silver Professor at New York University on a part time basis, mainly affiliated with the NYU Center for Data Science, and the Courant Institute of Mathematical Science.

This week, Google updated Google Drive to make it smarter than ever. In the same way that you can search Google Photos for things like "photos from last month" you can do the same for files in Drive. If you have a lot of files in Google Drive, you're going to love this. Natural Language Processing (NLP) is a technical term for "search like you talk." You can type things like "show budget spreadsheets" and Google will give you a clickable suggestion to use.