The legal industry has a reputation for being slow to change and behind the curve on adopting new technologies. These numbers paint the picture of a backward-facing industry focused on efficiency at the expense of innovation. Since 2008, the market has changed in fundamental ways. Not only has demand growth slowed dramatically, but the competitive dynamics of the market have shifted as well. Clients who once deferred to their outside law firms on all key decisions impacting the legal services they purchased no longer do so.

When you create a new solution, in a new space, people naturally have questions. They want you to define the terms you're using, explain how you compare to solutions they're more familiar with, give examples of how the solution works, and so on. We've been cheerily fielding these kinds of queries over the phone, online, and at events in our quest to spread the TDaaS word. It's very fun, but uh, not very efficient--we realized we needed to outline all these answers in one skimmable place. So here we go, answers to the most frequently asked questions of Spare5.

Artificial intelligence could improve diagnostic power of lung function tests European Lung ...

The decline of a single company culture, a surge in freelance workers, a workforce reshaped by artificial intelligence, and a 13% leap in productivity for companies that invest in employee wellness programs, are among the key trends that will define the state of the workforce in the Middle East over the next two decades. The last of these trends could generate as much as a 0.1% to 0.3% uplift in the GDP of a typical OECD country, according to predictions by UBS. Jürg Zeltner, President of Wealth Management at UBS, said: "The workplace is becoming far more complex. The relationship between employee and employer looks set to change significantly in the coming years, especially among workers who are currently only a short way into their careers. It is important that we prepare for these changes. Not only could they impact us, but also a number of our clients who run and own their businesses."

Remi El-Ouazzane recently joined Movidius from Texas Instruments where he served as vice president and worldwide general manager of the Open Multimedia Applications Platform (OMAP) Business Unit. Imagine a five-year-old watching Mum talking to Siri, and Dad talking to Alexa, on a daily basis -- what must she think of such interactions? Children nowadays witness computers that seem like they have a mind of their own -- and even a personality with which to engage. It can be taken for granted that their perception of machines, and thus of the world itself, differs a lot from our own. Artificial intelligence is one of the most promising areas of tech today, if not even the one that is likely to entail the most striking changes in our way of living, the way our economy works and how society functions.

NEW YORK: Tech giant Microsoft and large equipment manufacturer Liebherr are collaborating on a new generation of smart refrigerators that would help in shopping and planning meals with intelligent food management. "As part of the Liebherr household appliances division's digital initiative, the duo would develop'SmartDeviceBox' -- a communication module which fits into refrigerators and freezers -- connecting them to the internet," T.J. Hazen, Principal Data Scientist Manager at Microsoft, wrote. The system, which would utilise the same machine learning technology used in Microsoft's artificial intelligence (AI) assistant Cortana, is designed to have a long lifecycle. With this technology, modular units can be integrated and upgraded at any time in existing SmartDevice-ready appliances to create value and comfort for customers through new digital features and solutions, the post on Microsoft blog said. With the refrigerators, stored groceries can be monitored using internal cameras and object recognition technology.

Recently we have seen a slew of popular films that deal with artificial intelligence – most notably The Imitation Game, Chappie, Ex Machina, and Her. However, despite over five decades of research into artificial intelligence, there remain many tasks which are simple for humans that computers cannot do. Given the slow progress of AI, for many the prospect of computers with human-level intelligence seems further away today than it did when Isaac Asimov's classic I, Robot was published in 1950. The fact is, however, that today the development of neuromorphic chips offers a plausible path to realizing human-level artificial intelligence within the next few decades. Starting in the early 2000's there was a realization that neural network models – based on how the human brain works – could solve many tasks that could not be solved by other methods. The buzzphrase'deep learning' has become a catch-all term for neural network models and related techniques, as is shown by a plotting of the frequency of the phrase using Google Trends: Most deep learning practitioners acknowledge that the recent popularity of'deep learning' is driven by hardware, in particular GPUs .

Amid all the other emerging and morphing technologies that banks continue to have to deal with, it looks like they'll have to add another to the list: artificial intelligence. Based on observations from a number of analysts, the rise of artificial intelligence applications in financial services has gone far beyond facetious comparisons to movie-borne rogue computers and androids that seek to destroy mankind. AI applications now seem more likely than ever to be applied to everything from battling money laundering, to making loan decisions, to individualized financial planning, to regulatory compliance, and more. After all, while robots have been building cars for decades, soon it's likely that they will be driving them as well. How much further of a leap is it, then, to use what Aite Group calls "inorganic intelligence" to take computing to the next level, further increase operational efficiency, and improve results?

The field of artificial intelligence (AI) strives to build rational agents capable of perceiving the world around them and taking actions to advance specified goals. Put another way, AI researchers aim to construct a synthetic homo economicus, the mythical perfectly rational agent of neoclassical economics. We review progress toward creating this new species of machine, machina economicus, and discuss some challenges in designing AIs that can reason effectively in economic contexts. Supposing that AI succeeds in this quest, or at least comes close enough that it is useful to think about AIs in rationalistic terms, we ask how to design the rules of interaction in multi-agent systems that come to represent an economy of AIs. Theories of normative design from economics may prove more relevant for artificial agents than human agents, with AIs that better respect idealized assumptions of rationality than people, interacting through novel rules and incentive systems quite distinct from those tailored for people.

To realize the full potential of the Internet of Things, businesses need to move beyond short-sighted use cases and consider its broader impact on the world. The content on this page was provided by our sponsor, Teradata. The MIT SMR Editorial Staff was not involved in the selection, writing or editing of the content on this page. Most business and technology leaders today agree that the Internet of Things (IoT) represents an unprecedented opportunity in terms of ground-breaking insights and entirely new ways to understand and engage with both customers and "things." But in actuality, IoT's full promise has thus far failed to materialize, in part because of the narrow ways in which organizations define and pursue the potential capabilities.