It's a busy day in 2039 and you're watching a movie while being transported by one of the countless autonomous vehicles prowling the world's roads. Brake and speed up when necessary, avoid crashing into things (other cars, cyclists, stray cats), obey all traffic signals, and always stay within the lane markers. Not long ago, such a scenario would have seemed ridiculous. It is now more and more firmly in the realm of the possible. In fact, autonomous vehicles may one day become so aware of their surroundings that accidents will be virtually non-existent.

There's a good chance that the next pro hired on in your marketing department could be AI, according to Brooke Gocklin. Gocklin is a senior manager at Persado, an AI-generated writing service provider. Observes Gocklin: "Machines are not human -- they'll never be able to provide the same value. "But AI is able to work alongside us to generate better results, especially when it comes to repetitive and mundane tasks -- like writing A/B test copy variations and surfacing the results back to leaders fast enough to take action." Persado -- which started as an AI writing firm specializing in auto-generating personalized subject headlines for marketing emails -- stunned many copywriters back in 2019 by inking a five-year deal with Chase. Under the agreement, Chase brought Persado onboard to auto-generate slogans and other ad copy for its credit card and mortgage businesses. For an alternative perspective on the impact of AI-generated writing on jobs, check-out: "The Robots Cometh: How artificial intelligence is automating writing jobs," by Joe Dysart. This 13-minute video offers a detailed, uncritical look at AI-powered copywriter Localio.io. The tool's specialty is localization: It's designed to quickly auto-generate copy for Yelp, Facebook, LinkedIn and other digital properties in more than 120 languages. The hyper-local content attracted two million new page views for the news outlet, July-to-December 2021. Bergens Tidende uses AI-generated writing from United Robots to auto-convert company annual reports into short news summaries. Says Jan Stian, project lead, Bergens Tidende: "The business bot imitates the whole spectrum of journalism.

All of this to say: businesses who don't care about diversity will be left behind, society as a whole, and the individuals impacted by these companies, will suffer. There have already been cases of data bias impacting lives, namely in facial recognition software and hiring processes. But there are talks of further integrating data science into everything from the judicial system to agriculture, and if those technologies are created by companies made up of only one viewpoint, the repercussions won't even be realized until they've already been implemented. And, the true successes and exciting capabilities of these products could be overlooked because of simple and preventable oversight.

With algorithms driving purchases and clicks all over the internet, nationwide facial recognition systems starting to come online in foreign nations, and autonomous vehicles on the horizon, there seems to be shroud of fear surrounding anything having to do with AI. Some of these fears are very legitimate, but many of these fears may simply show a lack of understanding of the subject at hand. This article will explain some concepts and terminology of Machine Learning, Deep Learning, and Artificial Intelligence on a surface level, as well as recommending additional reading for a more in-depth look at this subject. Any computer system that mimics the way humans make decisions can be considered Artificial Intelligence, no matter how primitive its systems are. If a programmer created a massive decision tree of if/else statements to try and diagnose patients that were sick, it probably wouldn't do a very good job, but it would still be considered artificial intelligence.

IoT and AI are two of the hottest acronyms around, each significant in its own right. But combine the two, and the results are even more astounding. By some estimates, there will be more than 80 billion connected things producing more than 180 zettabytes of data annually by 2025. Bolder predictions have their sights set on IoT devices creating 847 zettabytes of data by 2021. Either way, it's a large number -- and one that is only going to grow.

Shouldn't young people know about the most important change force that will influence their lives and livelihoods? That's why every high school should offer a course on artificial intelligence (AI). Or, better yet, incorporate a set of competencies into graduation requirements that ensure that every young person understands the technology drivers and the implications for the economy and society. The prevalence of AI has increased dramatically in the last few years. Most people are unaware that AI is a key technology behind personal assistants (Alexa, Siri, Google), autonomous vehicles, predictive analytics (Amazon and Netflix recommendations) and medical diagnostics just to name a few.

"As we move into 2017, Baidu's strategic evolution from a mobile-first to an AI-first company continues to gain momentum." There was a time when Baidu, Inc. (BIDU) was primarily a Chinese language Internet search provider, often dubbed as the'Google of China.' In recent years, Baidu embarked on a new journey that makes it a search, artificial intelligence (AI), and autonomous driving company that is working towards innovative, next-generation products and revenue streams. Baidu is leading the AI revolution in the mainland with huge investments, collaborations and acquisitions. AI technologies encompass deep learning, image recognition, computer vision, robotics, collaborative systems, machine learning and natural learning process, among other things.

There's a common thread that connects Google services such as Google Search, Street View, Google Photos and Google Translate: they all use Google's Tensor Processing Unit, or TPU, to accelerate their neural network computations behind the scenes. We announced the TPU last year and recently followed up with a detailed study of its performance and architecture. In short, we found that the TPU delivered 15–30X higher performance and 30–80X higher performance-per-watt than contemporary CPUs and GPUs. These advantages help many of Google's services run state-of-the-art neural networks at scale and at an affordable cost. In this post, we'll take an in-depth look at the technology inside the Google TPU and discuss how it delivers such outstanding performance.

Artificial intelligence is one of the most prominent technologies currently being advanced. Not only is it a hot topic for researchers, but the world's greatest technological minds are fearful of its potential. Bill Gates, Stephen Hawking, Elon Musk, hundreds of the world's top minds have signed papers stating their fear about the destructive potential of AI systems. Regardless of the top minds in opposition, advances in the industry continue. Integrated AI systems today are already helping us get through daily life, according to Wired.

Four years ago, Google started to see the real potential for deploying neural networks to support a large number of new services. During that time it was also clear that, given the existing hardware, if people did voice searches for three minutes per day or dictated to their phone for short periods, Google would have to double the number of datacenters just to run machine learning models. The need for a new architectural approach was clear, Google distinguished hardware engineer, Norman Jouppi, tells The Next Platform, but it required some radical thinking. As it turns out, that's exactly what he is known for. One of the chief architects of the MIPS processor, Jouppi has pioneered new technologies in memory systems and is one of the most recognized names in microprocessor design.