Rihanna is part of the all-female cast of the "Ocean's" trilogy's first spin-off film, "Ocean's 8." Way ahead of the comedy heist film's premiere in 2018, the "Work" hitmaker dropped the first look teaser for the movie on Twitter. On Monday, RiRi surprised her millions of followers on the social networking site when she uploaded a photo of her and the seven other female leads of the movie. In the pic, Rihanna is seen seated inside a train with her co-stars Sandra Bullock, Cate Blanchett, Mindy Kaling, Sarah Paulson, Anne Hathaway, Helena Bonham Carter and Awkwafina. "Ocean's 8" is hitting theaters in the summer of 2018, specifically on June 8 of that year. Hence, many fans were delighted to see the first look photo as early as this week.
Causal inference from observation data often assumes "strong ignorability," that all confounders are observed. This assumption is standard yet untestable. However, many scientific studies involve multiple causes, different variables whose effects are simultaneously of interest. We propose the deconfounder, an algorithm that combines unsupervised machine learning and predictive model checking to perform causal inference in multiple-cause settings. The deconfounder infers a latent variable as a substitute for unobserved confounders and then uses that substitute to perform causal inference. We develop theory for when the deconfounder leads to unbiased causal estimates, and show that it requires weaker assumptions than classical causal inference. We analyze its performance in three types of studies: semi-simulated data around smoking and lung cancer, semi-simulated data around genomewide association studies, and a real dataset about actors and movie revenue. The deconfounder provides a checkable approach to estimating close-to-truth causal effects.
ONCE THOUGHT OF AS A NICHE TOY for early adopters, drones can now be found buzzing over parks, in select cities, and are even being increasingly used for video production as the popularity of aerial photography soars. However, drones aren't only for fun and entertainment, and the high-pitched hum of their spinning propellers could replace the wail of ambulance sirens for global citizens as drones are put to work for humanitarian purposes. In March of 2017, DJI, the manufacturers of the most popular commercial drones, published a report about drones' life-saving capabilities, citing cases in which drones manned by volunteers or bystanders were used in emergency situations like floods and avalanches, resulting in 59 life-saving rescues in China, Canada, the U.S., and Turkey. Given that it takes 25 people 35 hours to search one square mile for missing persons, compared to the 30 minutes it takes a drone to cover the same area, regardless of treacherous conditions on the ground, drones are uniquely suited for search and rescue, even when piloted by hobbyists. Based on the increasing trend of drone use in the last 10 months covered by the report, DJI estimated that drones would be directly responsible for saving at least one person per week in the future.
Fusing high performance computing and AI 2. Find your next binge-worthy show with AI 3. The connection between self-driving vehicles and radiology 4. Robots are learning new tasks by mimicking humans 5. How AI could spot a silent cancer in time to save lives 5. FUSING HIGH PERFORMANCE COMPUTING AND AI During GTC Taiwan 2018, NVIDIA CEO Jensen Huang announced HGX-2: a "building block" cloud-server platform that will let server manufacturers create more powerful systems around NVIDIA GPUs for high performance computing and AI. TechCrunch's Ron Miller sums it up best, saying that: "It's the stuff that geek dreams are made of. READ ARTICLE 6. FIND YOUR NEXT BINGE-WORTHY SHOW WITH AI While AI may play a leading role in the entertainment industry's depictions of the future on screen, it's already starring in entertainment behind the scenes, thanks to Netflix. Our latest AI Podcast features the company's research and engineering director, Justin Basilico. LISTEN HERE 7. CONNECTING SELF-DRIVING VEHICLES AND RADIOLOGY According to new commentary published in the Journal of American College of Radiology, AI implementation may not be as far as people believe, as seen in self- driving vehicles.