There are over 34,000 scholarly, peer-reviewed journals in existence today, collectively publishing some 2.5 million articles every year. It's estimated that a single researcher, depending on their discipline, will read about 270 of them in the same time frame. Scientists will never keep up. They're going to miss key insights. Fortunately, the Allen Institute for Artificial Intelligence (AI2) tossed them a life preserver.

Artificial intelligence could be a boon to HR leaders. Artificial intelligence is coming to human resources, but it's not going to be as exciting as Hollywood would have us believe. There will be no tiny humanoids roaming the halls offering AI benefits counseling, or shiny silver robots hosting AI yoga classes in the cafeteria. But in the not too distant future, there could be a Siri-like service that can answer employee benefits questions or tells people where the yoga class is, said Anthony Onesto, executive adviser to technology start-ups and vice president of Razor Fish, a digital marketing agency. Onesto is working on a project, currently in beta, called SueAI, an artificially intelligent human resource associate who answers human resource questions for HR leaders and their teams.

There's a moment in the human experience that just shouldn't happen. In fact, there are billions of those moments. The single mother I saw today, with a pain so deep in her eyes that emotion on her face felt like the ocean moved by muted waves rolling toward the shore. A man I've seen on the street a dozen times, yelling uncontrollably at his own mind and this morning surrounded by cops trying to speak to him calmly. A quick moment when my distraction was interrupted by a whole lane of cars slamming on their breaks and nearly crashing and other distracted drivers almost hurting one another.

Machine learning has been one of the most exciting development we have had since the internet and its subsequent spread through smart phones. Andrew Ng likens artificial intelligence (AI: term can be used vice versa with machine learning as of this moment that AI system learns from data, but this hasn't always been the case) to electricity; that AI will be pervasive, everywhere and transformative in the way we do things. Why would it be so transformative to the way we do things? Its simply that before advent of AI, everything we built were not even stupid, they had no thoughts and take no actions, its people who gotta make all the decisions for them. My own first practical exposure to building a practical AI system was when I started working as a wind energy analyst.

Marketing is only helpful when it's meeting a need. It sounds simple, but those needs can be really tough to parse. Like any consumer, my needs evolve every day, if not every minute. I won't stand for poorly targeted ads or messages that are irrelevant to me. I work in marketing technology, and this industry has been talking about data-driven personalization for years.

BOULDER, Colo.--(BUSINESS WIRE)--Few technologies have the transformative potential to reshape how we live, move, and work. Electricity and the Internet were two technologies that fundamentally transformed life in the 20th century. Artificial intelligence (AI) is the 21st century equivalent of electricity and the Internet. According to a new white paper from Tractica, AI is expected to bring massive shifts in how people perceive and interact with technology, with machines performing a wider range of tasks, in many cases doing a better job than humans. Tractica's white paper analyzes 10 key trends that are influencing the development of the global artificial intelligence market, and is available for free download on the firm's website.

Apple's iPhones and iPads are losing the battle against Android devices. That's according to a new study by mobile diagnostics firms Blancco Technology Group (BTG), which claims that Apple's devices are less reliable and experienced a bigger failure rate than their Android counterpart, driven by bugs in the iOS 10 update. For the purposes of the report the word "failure" refers to any number of problem including instances of apps crashing, connection difficulties and overheating. About 62 per cent of iOS devices suffered performance failures in the third quarter of 2016 compared with 47 per cent of Android devices, the report found. The iPhone 6 was the main culprit with the highest failure rate of 13 per cent.

We now experience life through an algorithmic lens. Whether we realize it or not, machine learning algorithms shape how we behave, engage, interact, and transact with each other and with the world around us. Deep learning is the next advance in machine learning. While machine learning has traditionally been applied to textual data, deep learning goes beyond that to find meaningful patterns within streaming media and other complex content types, including video, voice, music, images, and sensor data. Deep learning enables your smartphone's voice-activated virtual assistant to understand spoken intentions.

As continuous big data processing is gaining popularity it naturally implies that there is a need to transition many of the distributed machine learning functionality to a streaming backend. The most common use case is to give streaming predictions based on the model learnt in batch, however in some cases it is beneficial to also update the model on the fly. It is not uncommon that streaming learners need different algorithms than their batch counterparts. It also offer a dive into the implementation of a Scala library augmenting FlinkML with streaming predictors.

Uber is rolling out the biggest changes yet to its mobile app since 2012, with machine learning driven predictions behind the redesign. The app redesign has focused on greater personalisation, and that requires some extensive machine learning work on the back end. Unlike most mobile app companies, Uber doesn't measure success based on engagement levels but rather how quickly you can get through the booking process. The new app starts by asking for your destination, including a number of predictions based on your habits and your current location. For example if you are at the office it will assume you want to go home, or if it is'Thirsty Thursday', your favourite pub. You can also integrate your calendar with the app so it knows when and where your meetings and appointments are.