What will shopping be like in 10 years? No one knows all the details (that's exciting!), but one thing is for sure: it will be very different than it is today. History is clear about that. In the mid-19th century, most people in the US were shopping at small markets. They would tell the manager what they wanted, and then wait for the item to be retrieved from the back or from the supplier.

Billionaire entrepreneur Mark Cuban's prediction for the future of the workforce includes more robots and less human workers. "We're about to go into a period with artificial intelligence, machine learning, deep learning, those things where we literally are going to see a change in the nature of employment," Cuban said in an interview with CNN's Jake Tapper. He used that claim as a lunch point to discuss the swiftly evolving nature of jobs due to automation, using Trump's work with US factories to underscore his point. "Pay attention to the number of jobs in those companies two and three years out," Cuban said. "I guarantee they are going to be 30 and 40% lower."

What we can learn from WeChat's domination in China as we push out more virtual assistants and transition into an AI-first society. In the past, we've featured several a16z summit series presentations in Last Week in the Future (see 16 Questions About Self-Driving Cars by Frank Chen or Mobile is Eating the World by Benedict Evans). This week we analyze connie chan's presentation, "Trends in China", which explores parallels in the US and what WeChat's success can teach us in virtual assistant design. Google, Apple, Facebook, and Amazon have all played huge roles in pushing the mobile S-curve from creation to deployment stage. Some may argue that in China, the mobile S-curve is already passing the scaling stage into the maturity phase.

AI has achieved milestones in mastering games like chess, Go, and, recently, poker--illustrating how successful machines have become at completing specific, narrow tasks. But can AI move beyond the narrow, toward achieving more general, human-like skills? On Thursday, Microsoft launched a competition to address this question. Microsoft's Project Malmo, which the company calls a "sophisticated AI experimentation platform," brings researchers together to use Minecraft as a testing tool for developing AI--smart, collaborative AI that can compete in a virtual world. The Malmo Collaborative AI Challenge asks PhD students to enter this world and create AI that can team up with randomly assigned players to compete for a high score in Minecraft.

LONDON: Artificial intelligence, regarded as "essential" to competitiveness, will have a dramatic impact on businesses by 2020, according to a study by India's leading IT services provider Tata Consultancy services. Focused on the current and future impact of Artificial Intelligence (AI), the seventh Global Trends Study, concluded in June last year, polled 835 leading executives across 13 global industry sectors in four regions of the world, finding that 84 per cent of the companies see the use of AI as "essential" to competitiveness, with a further 50 per cent seeing the technology as "transformative". Exploring the views and actions of decision makers from global companies with average revenues of USD 20 billion, the study revealed AI is spreading across almost all areas of a company. The biggest adopters of AI today are, not surprisingly, IT departments, with two-thirds (67 per cent) of survey respondents using AI to detect security intrusions, user issues and deliver automation. However, by 2020, almost a third (32 per cent) of companies believe AI's greatest impact will be in sales, marketing or customer service, while one in five (20 per cent) see AI's impact being largest in non-customer facing corporate functions, including finance, strategic planning, corporate development, and HR.

Machine learning is one of the biggest buzzwords in cybersecurity in 2017. But a sufficiently smart adversary can exploit what the machine learning algorithm does, and reduce the quality of decision-making. Today's security threats have expanded in scope and seriousness. There can now be millions -- or even billions -- of dollars at risk when information security isn't handled properly. "The concern about this is that one might find that an adversary is able to control, in a big-data environment, enough of that data that they can feed you in misdirection," said Dr Deborah Frincke, head of the Research Directorate (RD) of the US National Security Agency/Central Security Service (NSA/CSS).

Tata Consultancy Services (BSE: 532540, NSE: TCS), a leading global IT services, consulting and business solutions organization, today unveiled its Global Trend Study titled, "Getting Smarter by the Day: How AI is Elevating the Performance of Global Companies." Focused on the current and future impact of Artificial Intelligence (AI), the study polled 835 executives across 13 global industry sectors in four regions of the world, finding that 84% of companies see the use of AI as "essential" to competitiveness, with a further 50% seeing the technology as "transformative." Widespread AI adoption expected across job functions Exploring the views and actions of decision makers from global companies with average revenues of $20 billion, the study revealed AI is spreading across almost all areas of a company. The biggest adopters of AI today are, not surprisingly, IT departments, with two-thirds (67%) of survey respondents using AI to detect security intrusions, user issues and deliver automation. However, by 2020, almost a third (32%) of companies believe AI's greatest impact will be in sales, marketing or customer service, while one in five (20%) see AI's impact being largest in non-customer facing corporate functions, including finance, strategic planning, corporate development, and HR.

In many data exploration tasks it is meaningful to identify groups of attribute interactions that are specific to a variable of interest. For instance, in a dataset where the attributes are medical markers and the variable of interest (class variable) is binary indicating presence/absence of disease, we would like to know which medical markers interact with respect to the binary class label. These interactions are useful in several practical applications, for example, to gain insight into the structure of the data, in feature selection, and in data anonymisation. We present a novel method, based on statistical significance testing, that can be used to verify if the data set has been created by a given factorised class-conditional joint distribution, where the distribution is parametrised by a partition of its attributes. Furthermore, we provide a method, named astrid, for automatically finding a partition of attributes describing the distribution that has generated the data. State-of-the-art classifiers are utilised to capture the interactions present in the data by systematically breaking attribute interactions and observing the effect of this breaking on classifier performance. We empirically demonstrate the utility of the proposed method with examples using real and synthetic data.

In the consumer report, we are number one once again and just like the Q7, in the consumer report it also occupies the first position as the best luxury SUV. And I think this power of the brand makes it possible for us to grow significantly. There are couple of models which have not even be launched yet in this market, models which we already know here, for instance the S4, the A5, and the entirely new A5 Sportback. They are now being launched in the United States. All new models for this market, and I assume that this year once again we are going to experience very solid growth in the United States. And the question so whether we spend more money for this? I can tell you we even spend less money in form of sales discounts because of the powerful brand and the relatively young product portfolio. So you would take the second part?

LONDON MUMBAI, March 15, 2017: Tata Consultancy Services (BSE: 532540, NSE: TCS), a leading global IT services, consulting and business solutions organization, today unveiled its Global Trend Study titled, "Getting Smarter by the Day: How AI is Elevating the Performance of Global Companies." Focused on the current and future impact of Artificial Intelligence (AI), the study polled 835 executives across 13 global industry sectors in four regions of the world, finding that 84% of companies see the use of AI as "essential" to competitiveness, with a further 50% seeing the technology as "transformative." Exploring the views and actions of decision makers from global companies with average revenues of $20 billion, the study revealed AI is spreading across almost all areas of a company. The biggest adopters of AI today are, not surprisingly, IT departments, with two-thirds (67%) of survey respondents using AI to detect security intrusions, user issues and deliver automation. However, by 2020, almost a third (32%) of companies believe AI's greatest impact will be in sales, marketing or customer service, while one in five (20%) see AI's impact being largest in non-customer facing corporate functions, including finance, strategic planning, corporate development, and HR.