Between January and February 2017, we've ranked nearly 2,000 Machine Learning articles to pick the Top 10 stories (0.5% chance) that can help advance your career. Topics included in this Machine Learning list are: NLP, Voice Recognition, Video Game AI, Tensorflow, Scikit-Learn, Translation, Neural Networks, Deep Learning, Reinforcement Learning and Artificial Intelligence. Mybridge AI ranks articles based on the quality of content measured by our machine and a variety of human factors including engagement and popularity. This is a competitive list and you'll find the experience and techniques shared by the leading data scientists particularly useful.

As marketers strive to engage in more meaningful conversations with their audience, understanding which words, phrases, sentences and even content formats resonate with particular audience members is key. Last year we saw progress in lexical analysis with the goal of finding content or text that drove overall marketing success. It did this by analyzing successful campaign content versus unsuccessful content. I believe 2017 will see that work get personalized by combining content analysis at the campaign level with content analysis at the individual level. The interconnected data makes it possible.

Artificial intelligence has become as meaningless a description of technology as "all natural" is when it refers to fresh eggs. At least, that's the conclusion reached by Devin Coldewey, a Tech Crunch contributor. AI is also often mentioned as a potential cybersecurity technology. At the recent RSA conference in San Francisco, RSA CTO Zulfikar Ramzan advised potential users to consider AI-based solutions carefully, in particular machine learning-based solutions, according to an article on CIO. AI-based tools are not as new or productive as some vendors claim, he cautioned, explaining that machine learning-based cybersecurity has been available for over a decade via spam filters, antivirus software and online fraud detection systems.

"Let us consider an augmented architect at work. He sits at a working station that has a visual display screen some three feet on a side, this is his working surface, controlled by a computer with which he can communicate by means of small keyboards and various other devices." This vision of the future architect was imagined by engineer and inventor Douglas Engelbart during his research into emerging computer systems at Stanford in 1962. At the dawn of personal computing he imagined the creative mind overlapping symbiotically with the intelligent machine to co-create designs. This dual mode of production, he envisaged, would hold the potential to generate new realities which could not be realized by either entity operating alone.

The line for the SXSW panel'Eyes in the Sky: The Future of AI and Satellites' snaked around many corners in Austin's JW Marriot Hotel – understandably, AI coupled with space shit, bring it on. Spaceknow Inc's CEO Pavel Machalek did most of the talking during this session. Spaceknow is a San Francisco based company building an AI system that can process the petabytes of data from the hundreds of commercial satellites circling us up above. Gary Vaynerchuk was so impressed with TNW Conference 2016 he paused mid-talk to applaud us. "We are digitizing the physical world, so we can build apps on top it," Machalek stated. According to the Czech CEO, we're currently going through a sea of change in how we use satellite data.

We are seeing today novel expressions of artificial intelligence (AI) which were just a while ago the stuff of sci-fi: autonomous vehicles, self-learning machines, fiction-writing programs which may win literary prizes. Yet, what if the AI goes awry? What if an autonomous vehicle malfunctions and damages your property? What if an AI robot hacks into a smart city's network and steals every citizen's personal data? Will our current legal liability rules give us satisfactory outcomes when applied to such scenarios?

The line for the SXSW panel'Eyes in the Sky: The Future of AI and Satellites' snaked around many corners in Austin's JW Marriot Hotel – understandably, AI coupled with space shit, bring it on. Spaceknow Inc's CEO Pavel Machalek did most of the talking during this session. Spaceknow is a San Francisco based company building an AI system that can process the petabytes of data from the hundreds of commercial satellites circling us up above. We're covering the weird and wonderful tech at SXSW, join us in the fun. "We are digitizing the physical world, so we can build apps on top it," Machalek stated. According to the Czech CEO, we're currently going through a sea of change in how we use satellite data.

In an economy where value is generated by digital efficiency, I believe that every organization should strive for digital flow. For an introduction to digital flow, see Digital Transformation Isn't A Goal. It's A Journey.There are three central forces of flow: Design Thinking, Platform Thinking, and Open Thinking. This article focuses on Design Thinking. Digital technology is complex, but users should never know it.

Microsoft claimed to reach a 5.9 percent word error rate last October using neural language models resembling associative word clouds. At the time, the company believed 5.9 percent was equivalent to human parity. But, IBM says it's not popping the champagne yet. "As part of our process in reaching today's milestone, we determined human parity is actually lower than what anyone has yet achieved -- at 5.1 percent," George Saon, IBM principal research scientist, wrote in a blog post this week. IBM reached the 5.5 percent milestone by combining so-called Long Short-Term Memory, an artificial neural network, and WaveNet language models with three strong acoustic models.