Even though he started working in government more than 30 years ago, former Defense Secretary Ash Carter said he wouldn't work for President Donald Trump. Carter previously swore off politics but he says his desire not to work for Trump runs deep. "It's not politics, it's personal conduct," Carter said on "CBS This Morning" on Monday. Carter explained that he used to tell officers and soldiers in the military that they "needed to behave themselves" and would have fired an officer for acting as the president has. But that doesn't mean he always agreed with the presidents under whom he did serve.

WASHINGTON - Uber is testing restaurant food deliveries by drone. The company's Uber Eats unit began the tests in San Diego with McDonald's and plans to expand to other restaurants later this year. Uber says the service should decrease food delivery times. It works this way: Workers at a restaurant load the meal into a drone and it takes off, tracked and guided by a new aerospace management system. The drone then meets an Uber Eats driver at a drop-off location, and the driver will hand-deliver the meal to the customer.

Advances in mixed-reality technologies and machine learning, coupled with the development of reactive and adaptable materials, are changing the way we think about what is real and what is digital. "Programmable reality", a term recently coined by forecasting agency The Future Laboratory, refers to the growing ability for material objects to assume digital attributes. Its advancement is set to transform product and retail development over the next five to 10 years. "Tomorrow's consumer will expect the world around them to become as personalised and responsive as online experiences have been," says Future Laboratory senior foresight writer Rhiannon McGregor. This has significant implications on the ways brands create and speak about their products.

Advances in machine learning and AI are revolutionizing all aspects of business and industry, but most marketers have only scratched the surface of the potential applications of this technology. In the U.S. alone, there are over 300 million potential consumers. Multiply that by the number of possible branded products in a given category, considering all different variants and configurations that are available for purchase. Then, think about how those purchase decisions are affected by previous brand interactions, time of day, weather, type of device, personal preferences, language, sentiment and more. There is no way a person could access all of these variables, integrate them into actionable insights and roll out any activity in real-time.

Recognizing the pervasive talent gap that exists between data scientists and data workers in the line of business, Assisted Modeling helps teach data science with a guided walk-through and aims to help all data workers, regardless of technical acumen, advance their skill sets in the process of building machine learning models. "As we continue to deliver innovations for a smarter platform, it is critical to address the human at the center of analytic intelligence. Our approach in building Assisted Modeling is to advance the skills of the data worker, creating next-level citizen data scientists capable of building the machine learning models required to tackle the advanced analytic challenges of the future," said Kramer. "Assisted Modeling provides users the transparency and control needed to build trustworthy machine learning models that drive business outcomes without writing a line of code. I am thrilled to deliver the newest version of our platform today and to invite our customers and partners to be the first to experience Assisted Modeling." As an output of the application, users can access code-free machine learning tools directly within the Alteryx Designer interface. Assisted Modeling allows any data worker to construct machine learning models, understand how and why their models work, and capture modeling decisions, turning raw data into informed business decisions with unprecedented speed and confidence. Alteryx also announced the general availability of the newest version of the Alteryx Platform (2019.2),

It's undeniable that Machine Learning has taken the digital world by storm. But along with its many promises, there has been much hype, making it hard to tell whether particular "AI-powered" labels actually represent true breakthroughs that will have a real impact on our day-to-day life. We certainly believe that Sweetspot's Predictions, Automated Insights, and Smart API Calls, our ML-powered features, have earned this label in their own right. While Predictions have been quietly serving our customers and partners from the very outset (2012!), the last two are only now beginning to unleash their true power. I nevertheless believe they all deserve a proper shout-out.

In the connected world of today, the role of a user has changed from a passive spectator to an active participant. With millennials spending close to 9.6 hours per day and Gen X spending 7.9 hours per day, on average, consuming digital content, attention has become a precious commodity in this digital age. This is happening because we are surrounded with personalized interactions, personalized campaigns, personalized news feeds and personalized deliveries due to AI-powered data driven tools. Artificial Intelligence (AI) has altered the basic idea of how consumers perceive a product and the way marketers perceive the purchase journey of customers. AI-driven personalization technology is able to accurately determine the consumer journey and can anticipate the next step along that journey.

We know that the money launderers are winning. We know that law enforcement is losing. By now, you've probably heard the UN's statistics on this, that we catch less than 1% of these crimes, which add up to an estimated $1.6 trillion a year. At the heart of this problem is asymmetrical technology. The bad guys have sophisticated, networked, rapidly improving technologies, and the good guys are stuck in the past.

According to media reports, China and the US are leading the way in adopting AI, with the former's percentage of AI patents granted growing by 190 per cent in a five-year period and the latter investing close to $10 billion in venture capital. Not to be left behind by the other two superpowers though, Russia's president has announced his intentions to make 30 per cent of its military equipment robotic by 2025. The compound annual growth rate of AI has hit 60 per cent and is still growing. The UK is itself funding over £603 million investment in AI and one industry here that stands to benefit from AI is field and customer service. Field service organisations increasingly feel the pressure to maximise the productivity and efficiency of their workforce so they get every job right on the first try, keeping customers happy and reducing costs through increased productivity and SLA compliance.

How to ensure human autonomy over our computational "screens, scenes, and unseens." Digital assistants such as Alexa and Siri and Google Assistant can be quite helpful -- but their actual allegiance is to Amazon and Apple and Google, not to the ordinary people who use them. By introducing AI-based digital agents that truly represent and advocate for us as individuals, rather than corporate or government institutions, we can make the Web a more trustworthy and accountable place. In the 2004 film "I Robot," Will Smith's character, the enigmatic Detective Del Spooner, harbors an animosity toward the humanoid-like robots operating in his society. Over the course of the film we learn why.