Dating app Tinder relies on algorithms to decide which photos users see. As algorithms become entrenched into society, the debate about their effects rages on. In essence, algorithms are sequences of instructions used to solve problems and perform functions in computer programming. As mathematical expressions, algorithms existed long before modern computers. While they vary in application, all algorithms have three things in common: clearly-defined beginning and ending points, discrete sets of "steps," and design meant to address a specific type of problem.

The Cooper Hewitt Design Museum houses an impressive collection of designed objects that chronicle the history and significance of design in our evolving world. These objects range from unrealized works of architecture to handwoven textiles from Africa to graphic designed posters that reflect the culture and pulse of humanity of their time. The museum is housed in the former mansion of Andrew Carnegie. Upon its completion in 1901, the sixty-four room mansion was the first private residence in the United States to have a structural steel frame that allowed for more expansive spaces and a feeling of lightness. The Carnegie Mansion was also the first private residence to have a residential elevator, central heating, and a precursor to central AC.

The other day, I covered at Search Engine Land a Wired article named Google's hand-fed AI now gives answers, not just search results. The article explains that Google is now using "sentence compression algorithms" as of this week in the desktop search results. Sentence compression algorithms is Google's way of extracting the best answer for a query to be displayed in the featured snippets. Of course, this is not just used for featured snippets but also for Google Home responses, Google Assistant and more. Which is why it is important that Google build a better way to get more answers.

Money makes the world go round, or so they say. Payments, investments, insurance and billions of transactions are the beating heart of a fractal economy, which echoes the messy complexity of natural systems, such as the growth of living organisms and the bouncing of atoms. Financial systems are larger than the sum of their parts. The underlying rules that govern them might seem simple, but what surfaces is dynamic, chaotic and somehow self-organizing. And the blood that flows through this fractal heartbeat is data.

Nikolas Badminton is a researcher and futurist based in Vancouver, Canada, and provides opinions about humanity, the future of work and life with technology. His opinions and thoughts on the future can be seen at nikolasbadminton.com. Money makes the world go round, or so they say. Payments, investments, insurance and billions of transactions are the beating heart of a fractal economy, which echoes the messy complexity of natural systems, such as the growth of living organisms and the bouncing of atoms. Financial systems are larger than the sum of their parts.

But once Feldman was hired to write the personality of a chatbot for Kasisto, a startup that focuses on artificial intelligence software for banks, she became vocal about the importance of taking gender out of the identity equation. Under her watch, MyKai, the bot she was hired to craft a personality for, would be neither female nor male. Feldman's boss at Kasisto, Dror Oren, says the work the team has done with the bot made him more outspoken about the need for equality in tech than he'd have imagined going into the project, and he's a self-proclaimed feminist to begin with. Now, he's hyperaware of the differences between the personality of Kai and overly feminine answers inside similar products made by most large tech companies. Kasisto is on to something.

A friend of mine has spent more than the value of his San Antonio home on Amazon Prime in the last five years. That is precisely why the next big battlefield for marketing and advertising lies with artificially intelligent digital agents like Alexa, Siri, Google Assistant, Facebook M, and Cortana. And it's why the company that cracks AI-powered agents will be the next trillion-dollar corporation. Every communications technology that has ever been invented has been seized by brands as a new way to connect with customers. A marketing manager sent the first spam email in 1978.

As consumers, we're familiar with -- if not yet wholly invested in -- the term "artificial intelligence," whether it's by way of self-driving cars or voice-enabled search like Siri and Amazon's Alexa. Artificial intelligence is on course to drastically change the enterprise, with big implications for productivity and possibly even larger ramifications on the economy. Business intelligence is providing companies with an overabundance of data, but it's AI that's emerging to make this data actionable by giving executives and employees useful insights that are relevant to their specific roles and what they need to accomplish on any given day. To name just a few of implications of how business will change with AI, today's workforce will be empowered to take on new approaches with time management, teamwork and collaboration, client service, and business forecasting. For example, instead of just assessing raw data, artificial intelligence can take into account historical patterns and current context of an employee's role, the nature of the business within which they work and market dynamics.

However, there are two distinct species both referred to as "bots": The first article of this series argued that the latter have a number of serious disadvantages that make them virtually unacceptable. They face problems with deep linking, discoverability and lack of bot-to-bot communication protocols. Intelligent conversational agents offer an intriguing solution to these problems: they don't need new protocols or APIs to communicate with each other and with "master bots" such as Google Assistant. They will communicate in plain English! Bots are the new websites -- every organization will soon have its own bot.

If rumors are true, Microsoft may be one of the few major consumer tech giants that doesn't have a smart, voice-guided speaker in the works... but that doesn't mean it's sitting on its thumbs. In an expansion of recent code discoveries, Windows Central sources claim that Windows 10 is getting a Home Hub feature that will turn supporting PCs into rivals for the Amazon Echo and Google Home. You'd have a shared, login-free desktop that shares family resources like calendars and shopping lists, and a smart home app that would make it easy to control all your connected devices. And as you might surmise, the Cortana voice assistant would play a much, much more important role. Under Home Hub, Cortana would have access to both shared content as well as that of individual users who are signed in.