Check out these smart home startups. A lot of these use AI behind the scene to get smarter over time.

After three years of almost single-handedly juicing up the slow-growing economy, Janet L. Yellen and the Federal Reserve should be looking at easier days ahead. Yellen, in what will probably be her last full year as Fed chair, may finally get help from somewhere else in Washington. Tax cuts and infrastructure spending planned by President-elect Donald Trump, if backed by the Republican-controlled Congress, would lighten the load for a Fed whose easy-money policies have been the primary economic support for the nation. She is already breathing easier on the Fed's employment mandate; the jobless rate has fallen to a nine-year low of 4.6%. Inflation, too, is under control and, by all accounts, creeping toward the central bank's optimal level of 2%.

The Smart Data Analytics group is very happy to announce SANSA 0.1 – the initial release of the Scalable Semantic Analytics Stack. SANSA combines distributed computing and semantic technologies in order to allow powerful machine learning, inference and querying capabilities for large knowledge graphs. You can find the FAQ and usage examples at http://sansa-stack.net/faq/. We want to thank everyone who helped to create this release, in particular, the projects Big Data Europe, HOBBIT and SAKE.

The piano ditty below, which ascends jauntily, then finishes with a tuneful flourish, sounds a bit like a jingle composed for the latest toothpaste campaign. The tune was, in fact, dreamed up by a musical AI program developed at Google. And the program's latest compositions show how combining a powerful machine-learning approach with simple musical rules can produce creative works that sound remarkably human. Music composition is an enigmatic form of human creativity. Songwriting programs already exist, but they typically follow a specific set of rules, and they tend to produce tunes that feel rigid and mechanical.

From Amazon and Facebook to Google and Microsoft, leaders of the world's most influential technology firms are highlighting their enthusiasm for Artificial Intelligence (AI). While there is growing interest in AI, the field is understood mainly by specialists. Our goal for this primer is to make this important field accessible to a broader audience. We'll begin by explaining the meaning of'AI' and key terms including'machine learning'. We'll illustrate how one of the most productive areas of AI, called'deep learning', works.

And while the word is out that law enforcement agencies from California to New York have used the devices to monitor citizens for years, a new report (PDF) from the bipartisan House Oversight and Government Reform Committee shows that the rules governing their usage can vary greatly from state to state or even department to department. As a result, committee chairman Jason Chaffetz (R-UT) and member Elijah Cummings (D-MD) are calling on Congress to establish "a clear, nationwide framework that ensures the privacy of all Americans are adequately protected." The committee has already pushed the Department of Justice, the Department of Homeland Security and the IRS to require a warrant before deploying a Stingray or other similar cell network-spoofing device, but the report's findings showed that in many states law enforcement agencies don't even need probable cause in order to justify their usage. To remedy that situation, the report recommends that Congress pass clear rules about "when and how geolocation information can be accessed and used." The DOJ and DHS will then be responsible for requiring local law enforcement agencies to adopt the framework before they can receive federal funding for Stingray devices like the ones that violated FCC regulations in Baltimore.

The Obama administration has failed to renegotiate portions of an international arms control arrangement so that it's simpler to export tools related to hacking and surveillance software.

Redescription mining is a field of knowledge discovery that aims at finding different descriptions of similar subsets of instances in the data. These descriptions are represented as rules inferred from one or more disjoint sets of attributes, called views. As such, they support knowledge discovery process and help domain experts in formulating new hypotheses or constructing new knowledge bases and decision support systems. In contrast to previous approaches that typically create one smaller set of redescriptions satisfying a pre-defined set of constraints, we introduce a framework that creates large and heterogeneous redescription set from which user/expert can extract compact sets of differing properties, according to its own preferences. Construction of large and heterogeneous redescription set relies on CLUS-RM algorithm and a novel, conjunctive refinement procedure that facilitates generation of larger and more accurate redescription sets. The work also introduces the variability of redescription accuracy when missing values are present in the data, which significantly extends applicability of the method. Crucial part of the framework is the redescription set extraction based on heuristic multi-objective optimization procedure that allows user to define importance levels towards one or more redescription quality criteria. We provide both theoretical and empirical comparison of the novel framework against current state of the art redescription mining algorithms and show that it represents more efficient and versatile approach for mining redescriptions from data.

You have great SaaS business app ideas. You want to turn your idea quickly into a functional and engaging proof of concept. You need to be able to modify it to meet customers' needs, and you need to deliver a complete and secure SaaS application. How could you achieve all the above and yet avoid unforeseen IT requirements that add unnecessary cost and complexity? You also want your app to be responsive in any device at any time.

WASHINGTON – A century-old U.S. trade group on Monday pledged to work with the incoming administration to improve access to overseas markets for American companies, but also to fight against protectionism. Rufus Yerxa, head of the 300-company National Foreign Trade Council, said his organization is prepared to work with President-elect Donald Trump to improve conditions for U.S. exporters. However, he declined to be drawn into discussing some of Tump's more inflammatory statements, like threats to impose huge punitive tariffs on China and renegotiate free trade deals, saying he would wait to see what the actual policies are. "The reason I want to be optimistic is because I've seen this before, prior incoming administrations where there's a lot of dire predictions about what's going to happen, and in the end very positive things have happened," said Yerxa, a former deputy director general of the World Trade Organization. "I don't want to rule out that possibility," he told reporters. "I think we can make progress once it becomes clear to people that protectionism isn't the answer."