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Even though the 2017 Apple HomePod is yet to hit the shelves, hints about the features of next year's model have been revealed by a patent published Thursday. The United States Patent and Trademark Office published a new Apple patent, titled "Loudspeaker with Reduced Audio Coloration caused by Reflections from a Surface," which hints that the next model could be more focused on music than the present one. As the title of the patent suggests Apple's invention is related to reducing the effects caused by reflections of sound on a surface on which the smart speaker is kept. This will work, whether the user is sitting or standing -- the sound will reach the listener optimally, reducing distortions that are produced in regular speakers.

The Federal Aviation Authority passed an order restricting the unauthorized use of drones over the Statue of Liberty and other such landmarks, adding to the existing list of no-fly zones for drones in the United States. "At the request of U.S. national security and law enforcement agencies, the Federal Aviation Administration (FAA) is using its existing authority under Title 14 of the Code of Federal Regulations (14 CFR) § 99.7 – "Special Security Instructions" – to address concerns about unauthorized drone operations over 10 Department of the Interior (DOI) sites, including the Statue of Liberty and Mount Rushmore," FAA said in its press release Thursday. The restrictions go into effect next Thursday. To ensure the general public is aware of these restrictions, FAA has issued an interactive online map that is available on both its website and its B4UFLY app. According to the press release, violation of the restrictions could result in civil penalties and even criminal charges.

The General Data Protection Regulation (GDPR) is a wide-ranging and complex regulation intended to strengthen and unify data protection for all individuals within the European Union (EU). A year ago I blogged about the data governance ramifications of GDPR, and in this blog I'll focus on another facet of GDPR to talk about a related analytics topic: explainable artificial intelligence (AI). First, let's start with GDPR. Article 22 of GDPR, "Automated individual decision-making, including profiling," concerns the use of data in decision-making that affects individuals, such as a person applying for a loan. The data subject shall have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her." Point 2 of Article 22 describes exclusions (including situations involving the person's explicit consent, such as applying for a loan), but the key issue for our discussion here is in point 3: "…the data controller shall implement suitable measures to safeguard the data subject's rights and freedoms and legitimate interests, at least the right to obtain human intervention on the part of the controller, to express his or her point of view and to contest the decision."

We often hear about the ever-changing world of technology and how it impacts the practice of law and legal compliance. This is also significantly affects what individuals are entering the law practice, as well as their interests, skills, and desired job opportunities. I recently talked with an aspiring in-house lawyer, Albert J. Higgins, who is about to graduate from the Sandra Day O'Connor College of Law at Arizona State University (ASU), which is ranked 25th by US News and World Report for best law schools and 22nd globally by the Academic Ranking of World Universities. Albert's interest is in legal analytics, a field that many of us do not understand or comprehend how it is useful in the practice of law. K: Albert, tell me a little about yourself and your background.

"But if thought corrupts language, language can also corrupt thought." You can use postagga to process annotated text samples into full fledged parsers capable of understanding "free speech" input as structured data. Ah and you'll be able to do this easily. The models are included under the models folder. We also shipped two light models as vars defined in namespaces, one for French and one for English, as for JavaScript, the artifacts size are a concern.

Artificial intelligence has become so ubiquitous these days that we barely realize when we're using it. Sophisticated algorithms help Siri locate the nearest grocery store and tell us what movies to watch; they also determine what ads we see and whether or not we're given a bank loan. Sure, AI is making our lives better--but it's also come under fire for having a discrimination problem. And as its ubiquity increases, it's vital that we make sure AI isn't leaving swathes of people behind. Still, some of the worries about AI's discrimination problem seem to ignore the fact that the trust mechanisms currently in place are already highly discriminatory.

Obviously the next logical project for a successful Silicon Valley engineer is to set up an AI-worshipping religious organization. Anthony Levandowski, who is at the center of a legal battle between Uber and Google's Waymo, has established a nonprofit religious corporation called Way of the Future, according to state filings first uncovered by Wired's Backchannel. Way of the Future's startling mission: "To develop and promote the realization of a Godhead based on artificial intelligence and through understanding and worship of the Godhead contribute to the betterment of society." Levandowski was co-founder of autonomous trucking company Otto, which Uber bought in 2016. He was fired from Uber in May amid allegations that he'd stolen trade secrets from Google to develop Otto's self-driving technology.

The current applications of AI in legal work includes drafting and reviewing contracts, mining documents in discovery and due diligence, answering routine questions or sifting data to predict outcomes. AI is a human-like legal issues spotter providing relevant information on contract terms, therefore allowing lawyers to focus their review on the relevant segments of each contract, saving countless lawyer-hours. The tools are simple to use, making litigation document management easier and more efficient, allowing companies to manage more of this work in-house without resorting to outside counsel. Predictive technology analyzes past legal reference data to provide insights into future outcomes, powered by advances in machine learning.

General Motors Co, Alphabet Inc, Ford Motor Co and others have lobbied for the legislation to speed deployment of self-driving cars without human controls by allowing federal regulators to approve their use if they deem them safe and barring states from blocking autonomous vehicles. Current law prohibits vehicles without human controls. Two sources briefed on the matter said the bill would not include larger commercial trucks.