"We are in a new era, one in which we are building systems that can't be grasped in their totality or held in the mind of a single person." In his book, Arbesman writes we're entering the entanglement age, a phrase coined by Danny Hillis, "in which we are building systems that can't be grasped in their totality or held in the mind of a single person." In the case of driverless cars, machine learning systems build their own algorithms to teach themselves -- and in the process become too complex to reverse engineer. My country has, because of huge digital divide a huge technological divide a huge internet of things analphabetism.

Many scientists and futurists agree that the effects of artificial intelligence and automation on society are difficult to predict. While many predicted that the tip of the spear for such technology would play out in areas such as medicine or general computer system markets, the AI revolution is already underway in the financial markets. Nearly all market-making is presently dominated by machines that employ AI techniques, including advanced pattern recognition. The markets evolution from the primordial ooze of computers, networks and massive storage systems to a complex, intelligent and somewhat singular market entity will impact society well beyond finance.

As an example, Mediatrix Capital makes complex and profitable decisions based on nine algorithms that have specific hedging and correlated counter positions to track changes in market direction. Multiple strategies maximize returns and are completely unbiased to market direction. Stansberry Research is one of the leading independent financial research firms in the world, delivering unbiased investment intelligence to self-directed investors seeking an edge in a wide variety of sectors. Stansberry Research employs over 12 analysts and researchers, including former hedge fund managers and buy-side analysts who publish proprietary insights to over 500,000 paying subscribers in over 120 countries worldwide.

The problem echoes that of previous driverless car accidents, where sensors were blind to an unusual circumstance. In February, a Google driverless car was ruled at fault in a crash, as it changed into a lane prematurely and collided with a bus that did not see it signaling. When a Tesla car on autopilot crashed and killed its owner in the United States, it sparked a Federal investigation. The Tesla crash, where the car collided with a trailer crossing the road, was likely because the car's sensors couldn't tell the white side of a trailer apart from the blank space of the sky, and failed to stop in time.

Transportation, health, safety and education are among the many sectors that will be impacted by advances in AI. However, AI is likely to completely transform the labour market and indeed society as a whole, and given that the way the general public react to AI will strongly influence the practical outcome, scientists and legislators will need to ensure that the economic and social benefits of artificial intelligence are shared widely, stress the report's authors. At the same time, AI also raises many questions, particularly ethical and social questions, such as the right to privacy. The medical sector will also feel the impact.

That's why we created This Week in Machine Learning! Apple acquires another machine learning firm, purchasing India-based Tuplejump and its open-source FiloDB project for analyzing massive amounts of complex data. Researchers at MIT create a machine learning-based system for automatically screening children for speech and language disorders through an accessible mobile app. Facebook launches a new feature, powered by machine learning, that automatically infers when a message suggests a transaction and prompts the recipient to pay.

All of this is made possible by artificial intelligence (AI)–complex and highly technical solutions such as natural language processing, deep learning and machine learning that when applied to everyday actions in our personal lives make us smarter and more productive. But in keeping with Albert Einstein's dictum that the definition of genius is taking the complex and making it simple, Salesforce Einstein is removing the complexity of AI, enabling any company to deliver smarter, personalized and more predictive customer experiences. Salesforce Einstein is a set of best-in-class platform services that bring advanced AI capabilities into the core of the Customer Success Platform, making Salesforce the world's smartest CRM. Powered by advanced machine learning, deep learning, predictive analytics, natural language processing and smart data discovery, Einstein's models will be automatically customized for every single customer, and it will learn, self-tune, and get smarter with every interaction and additional piece of data.

A number of companies are proving that, by incorporating some key user experience principles, creators can ensure that people will continue to use bots in 2017. For instance, The Horoscope Bot description (right) explains exactly what the bot has to offer. Copa Airlines' Ana bot is a virtual assistant that, "lets you ask questions using everyday language." Once a person sets up an Amazon Echo (via an app), they are presented with interesting and useful "skills" (Alexa's voice-activated versions of apps).

Those microphones are backed by Intel's Real Audio technology, a natural language processing system that can respond to commands and questions, and follow context. The Oakley Radar Pace system responded with the beats per minute measurement. It even includes touch sensitive controls, which you can use to access music and talk to Intel Real Audio. For all the built-in technology and sensors, the Radar Pace lacks a heart rate monitor, which means that, if you want to track that key workout metric, you'll need to wear and connect to a third party device.

The dating app rolled out a new experience for iMessage, an app called Tinder Stacks, that allows people to create their own Tinder-like swiping experiences directly in their conversations. The idea behind Tinder Stacks is to give Tinder users a way to allow their friends to "vote" on collections of photos while they chat. Once set up, using Tinder Stacks is fairly straightforward: create a "stack" based on photos from your camera roll and share it with friends who can vote on the images you share. When Mashable published its list of the 100 greatest iPhone apps of all time, we noted the greatest contribution Tinder (#20) has made to the app world is its design.