Forecasts show the natural language processing market to grow from $10.2 billion in 2019 to $26.4 billion in 2024. Learn how this technology enables machines to read and understand human language, synthesize data, and derive meaning across a variety of industries.
While blockchain and cryptocurrencies are dramatically reshaping global commerce, government intervention is sowing confusion and uncertainty regarding the future of these digital forms of exchange. Regulations are inevitable, but what should backers and investors do in the current climate to stay on the right side of the law?
People give up massive amounts personal data every day – to their phone apps, their doctors and their GPS systems. In theory, it’s anonymous, but artificial intelligence is smart enough to correlate data and draw conclusions. So how much privacy do we really have?
How the human brain works has puzzled researchers for millennia — so actually building a brain from scratch is an unquestionably daunting task. But that’s essentially what scientists today are attempting to do within a subset of AI dubbed Deep Learning.
Company brand logos are everywhere these days, and not just where they expect them to be. A business knows when it has placed an advertisement in a magazine, but it has no knowledge if an ad has been seen by more than the publication’s readers. This is no longer the case thanks to deep learning technology. Learn how deep learning tools are helping businesses identify if its brands and logos in photos posted to social media and how this is producing actionable information that can increase their market share.
Take a look at how some auto giants intend to use cryptocurrency technology to drive innovation. It’s not in the payment model aspect you may be thinking but instead as a means for cars to communicate with each other whilst on the road.
Since the inception of the profession, accountants have been “numbers crunchers” and “bean counters”—mathematically inclined individuals tasked to laboriously assemble a company’s financial data and calculate revenue and expenses toward closing the books each quarter. Now so-called robo-accountants are doing the hard work, freeing accountants from crunching the numbers to make sense of them for operational and financial decision-making purposes.