It was a chaotic week in the tech world, even before the YouTube HQ shooting. Apple's pushing its luck by pushing its Mac Pro release to next year, Russia's mail delivery drone barely got off the ground, and Scott Pruitt's EPA is doing its best to suffocate California in smog. Numbers, because how else will you know when yours is up? And it looks like the creatives that the Pro is designed for will have to wait just a little bit longer as the company announced this week that the promised revamp won't happen until 2019. Guess Nick Cage won't be headed to Mars anytime soon.

We are now a connected global community where many digital natives cannot remember a time before the iPhone. The rise of smart homes means that we are increasingly attaching our lighting, door locks, cameras, thermostats, and even toasters to our home networks. Managing our home automation through mobile apps or our voice illustrates how far we have evolved over the last few years. However, in our quest for the cool and convenient, many have not stopped to consider their cybersecurity responsibilities. The device with the weakest security could allow hackers to exploit vulnerabilities on our network and access our home.

Montreal-based Element AI has compiled a report and analysis on the global supply of AI researchers in an effort to get a better understanding of an industry in high demand. Overall, the report found that there are 22,064 PhD-educated researchers globally that are capable of working in AI research and applications, with only 3,074 candidates currently looking for work. The US had the highest concentration of researchers with 9,010 researchers, followed by the UK with 1,861 researchers. Canada fell in third place with 1,154 researchers. To conduct the broader survey, Element AI used results from LinkedIn searches that showed the total number of profiles according to specialized parameters.

TensorFlow is one of the most commonly used frameworks for Deep Learning and AI. This course will be your guide to understand and learn the concepts of Artificial intelligence by applying them in a real-world project with TensorFlow. This course will show you how to combine the power of Artificial Intelligence and TensorFlow to develop some exciting applications for the real world. This course will take you through all the relevant AI domains, tools, and algorithms required to build optimal solutions and will show you how to implement them hands-on. You will then be taken through techniques such as reinforcement learning, heuristic searches, neural networks, Computer Vision, OpenAI Gym, and more in different stages of your application.

Artificial intelligence experts have announced they will boycott a South Korean research university that is looking into how to use AI for weapons, CNN and other media outlets are reporting. The university, Korea Advanced Institute of Science and Technology, started a research center that will look to create "AI-based" missiles, submarines and quadcopters by the end of this year. More than 50 leading experts penned an open letter to the university that denounced the killer technology research, Fortune reported. "At a time when the United Nations is discussing how to contain the threat posed to international security by autonomous weapons, it is regrettable that a prestigious institution like KAIST looks to accelerate the arms race to develop such weapons," the experts wrote in the letter. "We therefore publicly declare that we will boycott all collaborations with any part of KAIST until such time as the president of KAIST provides assurances, which we have sought but not received, that the center will not develop autonomous weapons lacking meaningful human control."

A recent study released by development consulting firm Banyan Global sheds light on Microwork and Impact Sourcing highlighting the different sides of the industry by looking at what clients want out of service providers and how to ensure that workers are being offered steady work with future opportunity. Microwork is a series of small tasks which together constitute a larger project. A recent study released by development consulting firm Banyan Global sheds light on Microwork and Impact Sourcing highlighting the different sides of the industry by looking at what clients want out of service providers and how to ensure that workers are being offered steady work with future opportunity. Microwork is a series of small tasks which together constitute a larger project. Impact Sourcing, also known as socially responsible outsourcing, refers to the creation of employment for high potential but disadvantaged people in the services sector via contract work.

We had the opportunity to exchange ideas about the reality, trends and future of the bank industry some weeks ago, during the Banking Day 2018. We decided to call the event "Banking on the move: embracing new dynamics" because of the ongoing transformation all financial services firms go through. With the rise of Fintech, artificial intelligence and automation, banking is arguably one of the most impacted industries. During more than 4 hours, we had the chance to get a taste of what key Industry players in Luxembourg feel about the changes to come, and how they've started tackling digital transformation. Gerd Leonhard, an acknowledged futurist, took part in the event, sharing thought-provoking ideas and predictions, and inviting the audience to start living the future now.

Imagine your least-favorite world leader. Now, imagine if that person wasn't a human, but a network of millions of computers around the world. This digi-dictator has instant access to every scrap of recorded information about every person who's ever lived. It can make millions of calculations in a fraction of a second, controls the world's economy and weapons systems with godlike autonomy and -- scariest of all -- can never, ever die. This unkillable digital dictator, according to Tesla and SpaceX founder Elon Musk, is one of the darker scenarios awaiting humankind's future if artificial-intelligence research continues without serious regulation.

In the two months since Richard Watson strapped 200 remote-control-sized transmitters around his cows' necks, an artificial-intelligence system named Ida has pinged his phone with helpful alerts -- when his cows are chewing the cud, when they're feeling sick, when they're ready for insemination. "There may be 10 animals out there that have a real problem, but could you pick them?" he said one morning, standing among a grazing herd of dairy cattle wearing what he calls "cow Fitbits." But on the neighboring pastures here in rural Georgia, other farmers say they aren't that impressed. When a cow's in heat, they know she'll start getting mounted by her bovine sisters, so they smear paint on the cows' backsides and then just look for the incriminating smudge. "I can spot a cow across a room that don't feel great just by looking in her eyes," said Mark Rodgers, a fourth-generation dairy farmer in Dearing, Ga., whose dad still drives a tractor at 82. "The good Lord said, 'This is what you can do.' I can't draw, paint or anything else, but I can watch cows," he said.

In coming tutorials on this blog I will be dealing with how to create deep learning models that predict text sequences. However, before we get to that point we have to understand some key Natural Language Processing (NLP) ideas. One of the key ideas in NLP is how we can efficiently convert words into numeric vectors which can then be "fed into" various machine learning models to perform predictions. The current key technique to do this is called "Word2Vec" and this is what will be covered in this tutorial. After discussing the relevant background material, we will be implementing Word2Vec embedding using TensorFlow (which makes our lives a lot easier). To get up to speed in TensorFlow, check out my TensorFlow tutorial. Also, if you prefer Keras – check out my Word2Vec Keras tutorial.