The rapper and Fast & Furious franchise star Ludacris told USA TODAY on Wednesday that he hasn't had much luck scoring one of the EVs, even though one of Tesla's driving modes has a strikingly similar name. "We've been trying to get a free car out of my man Elon Musk for a long time. But'Ludicrous Mode' I guess, wasn't Ludacris mode," the Grammy award-winning musician said before a glitzy performance hosted by Spotify during CES. The Palo Alto-based automaker launched "Ludicrous Mode" in 2016, a powertrain that enables the Model S to sprint from 0 to 60 in less than three seconds. Ludacris hit the car scene in a big way in 2003 after the rubber cooled on the set of the crime thriller "2 Fast 2 Furious."

Sure, it's 2020, but it seems the bug is back: Y2K. In fact, you might just be able to chalk up that inexplicable credit card rejection or parking meter fail to something that's so 2000. Twenty years ago, you may recall, there was a race against the calendar to update computer systems to correct what was deemed the Y2K or millennium bug. During the advent of computers, they were coded to store dates counting the years by the last two digits instead of all four, so when the year 2000 arrived requiring a full four-number shift, many systems would have jumped back to the year 1900, which many feared would wreak havoc across industries that had become dependent on the burgeoning network of interconnected computers. So, to keep the global network of computers from bringing all of plugged-in humanity to a screeching halt – or as the most doomsayers suggested – developers had two options: either rewrite the code to use four-digit years or use a temporary fix coined "windowing," according to New Scientist, Windowing allowed programmers to refer to dates from 00 to 20 as the 2000s instead of the 1900s.

The annual CES gadget fest closes Friday, following an eventful week with hundreds of thousands of new gadget introductions, controversy over bringing presidential politics into the show with an appearance by first daughter and White House adviser Ivanka Trump and a headline-grabbing act of war against Google. Some 175,000 people attended, and while Trump's appearance was mild, without any protest, California speaker maker Sonos did rain on Google's unveiling of new products with "partners," when it accused the search giant of stealing its technology. Sonos is asking for an immediate cease-and-desist order preventing Google from selling speakers, phones or laptops. Meanwhile, there are no Google-partnered products on our reporters and contributors highlights. The lure of a flying car is rarely more enticing than at CES, when 175,000-plus attendees regularly gridlock Las Vegas streets.

Aviation Maintenance Administrationman 3rd Class Shea Wright, assigned to the Skinny Dragons of Patrol Squadron (VP) 4, recovers a squadron P-8A Poseidon maritime patrol and reconnaissance aircraft following an anti-submarine warfare mission over the Atlantic Ocean, Nov. 30, 2019. The increasingly global reach of Chinese nuclear-armed ballistic missile submarines, armed with JL-2 weapons reportedly able to hit parts of the U.S., continues to inspire an ongoing Navy effort to accelerate production of attack submarines, prepare long-dwell drones for deployment to the Pacific and continue acquisition of torpedo-armed sub-hunting planes such as the P-8/A Poseidon. The Navy has been moving quickly to increase its fleet of Poseidon's on an accelerated timetable; in the Navy's 2020 budget, the service was authorized for a near term increase in Poseidon production by three, moving funding for the year up for nine Poseidons, as cited in a report from USNI news. Last year, the Navy awarded Boeing a $2.4 billion deal to produce 19 more P-8A Poseidon surveillance and attack planes. The Poseidon increase appears to align with the service's overall Pacific theater strategy, which makes a point to sustain peaceful, yet vital surveillance and Freedom of Navigation missions in the region.

The flight patterns of moths could help scientists to develop decision-making programs for autonomous drones to help them navigate unfamiliar environments. Researchers led from Washington State in the US analysed how moths flew through a simulated forest of light beams to create a drone navigation model to test. They found that the moths' navigation strategy is highly flexible and best suited for dense forests -- an adaptation that likely evolved in response to their habitat. By using real data from animal flight paths, the researchers said that they should be able to program drones to autonomously navigate cluttered environments. Biologist Thomas Daniel of the University of Washington in Seattle and colleagues mounted eight tobacco hawk moths -- or Mantuca sexta -- on the end of metal rods that were connected to a torque meter.

WASHINGTON – U.S. officials said Thursday it was "highly likely" that an Iranian anti-aircraft missile downed a Ukrainian jetliner late Tuesday, killing all 176 people on board. They suggested it could well have been a mistake. The crash came just a few hours after Iran launched a ballistic missile attack against Iraqi military bases housing U.S. troops amid a confrontation with Washington over the U.S. drone strike that killed an Iranian Revolutionary Guard general last week. Two U.S. officials, speaking on the condition of anonymity to discuss sensitive intelligence, said they had no certain knowledge of Iranian intent. But they said the airliner could have been mistaken for a threat.

The article below is a guest post by Nuance, a company focused on conversational AI. In this post, Nuance engineers describe their use of NVIDIA's automatic mixed precision to speed up their AI models in the healthcare industry. Nuance's ambient clinical intelligence (ACI) technology is an example of how it is accelerating development of solutions for urgent problems in the U.S. healthcare system by training its automatic speech recognition (ASR) and natural language processing (NLP) models using NVIDIA's Automatic Mixed Precision capabilities on Volta and Turing GPUs with Tensor Cores. ACI addresses what the World Medical Association calls a "pandemic of physician burnout" caused by huge amounts of electronic paperwork. Doctors spend two hours completing documentation for every hour they deliver care.

Recommendations include media spend optimization based on predicted lifetime value, advanced audience segmentation utilizing ML, and AI driven advanced product recommendations. Marketing managers can set objectives and limits, allowing the system to run on auto-pilot to optimize budget and hit sales goals. Google Cloud North America Services Partner of the Year for the past two consecutive years, Maven Wave leverages Google Cloud tools such as BigQuery, machine learning models and Google Ads to power its retail solution. The firm has earned Google Cloud Partner Specializations in eight areas, including Data Analytics, Location-Based Services, Machine Learning, and Marketing Analytics. "More than ever, retail customers expect personalization as a standard of service as well as a seamless experience between online and in-store," said Chris VanKula, Marketing Analytics Lead at Maven Wave.

Ambrose Bierce became an early 1900s influencer when he published "The Devil's Dictionary," a book of sarcastic definitions. He discovered dictionaries were a fantastic literary device for social commentary. He also probably realized inventing bogus definitions was an easy method to overcome writer's block and to efficiently generate content to meet deadlines. With that in mind, this seems like a good opportunity to produce more devilish definitions that fit with our modern world. I should apologize in advance, however, because some of these definitions are 100% real, which puts this article into the strange category of fake fake news.

"When we try to pick out anything by itself, we find it hitched to everything else in the universe" – John Muir Often in real-world tasks, there isn't enough data to take full advantage of deep learning. However, it is possible to leverage other datasets to reach a critical mass. Sharing knowledge across diverse datasets leads to more general knowledge, deeper insights and more well-informed decisions. This is especially true in domains like healthcare, where data for any particular task can be expensive or dangerous to collect. Modeling datasets separately wastes useful structure that could be shared between them.