Artificial Intelligence is a real thing. The building blocks are readily available to anyone who can afford to rent GPU power and string together Python code. As technology advances and it becomes easier to manipulate the human form with AI, will Hollywood continue to exist? Will this new art form be distributed in a more democratic fashion? Or will Hollywood maintain its grasp on the film industry?

The Huntingdon Park police near Los Angeles has rolled out several robot police in public spaces around the city. However, reports and testimonies reveal that these autonomous police robots may not serve any purpose at all. The inefficiency of the supposed virtual police that secure the parks in Los Angeles (instead of actual human police officers) was highlighted when the Knightscope police robot ignored a distressed woman. A woman in a park near Los Angeles attempted to summon the futuristic police robot when a fight broke out in the area. Instead of responding to the distress call of the woman, the K5 model named "HP RoboCop," ignored her report and told her to "step out of the way," as earlier reported in NBC News.

To predict the impacts of human emissions, researchers need a complete picture of the atmosphere's methane cycle. They need to know the size of the inputs -- both natural and human -- as well as the outputs. They also need to know how long methane resides in the atmosphere. To help develop this understanding, Tom Weber, an assistant professor of earth and environmental sciences at the University of Rochester; undergraduate researcher Nicola Wiseman '18, now a graduate student at the University of California, Irvine; and their colleague Annette Kock at the GEOMAR Helmholtz Centre for Ocean Research in Germany, used data science to determine how much methane is emitted from the ocean into the atmosphere each year. Their results, published in the journal Nature Communications, fill a longstanding gap in methane cycle research and will help climate scientists better assess the extent of human perturbations.

The use and development of artificial intelligence and machine learning technology is spreading from niche Silicon Valley software companies to almost all innovative businesses, including those outside the traditional software field. Stitch Fix CEO Katrina Lake recently said: "In 10 years, every'relevant' company will be a tech company." As such, a strategy for inventing and using machine learning technology, and for generating IP based on the resulting inventions, is essential to non-software companies. This presentation focuses on assisting private patent practitioners, as well as in-house attorneys, in understanding the machine learning technology space, developing processes for identifying patentable inventions in the machine learning field, and patenting such inventions. The presentation defines machine learning, addresses strategies for drafting and prosecuting patent applications in the US, and discusses advantages and disadvantages that non-software technology companies may have in obtaining patents in this space.

Medical information and data has grown exponentially in recent years, posing new challenges for life insurance underwriting. With often voluminous medical histories to assess risk, the process can take an inordinate amount of time. Applicants can end up frustrated, dropping out of the application process and seeking other alternatives, perhaps with competitors, in search of a quicker turnaround. In response, insurers are turning to natural language processing – a more focused implementation of conversational AI – to assist with sifting through massive amounts of medical documentation to identify and even assess mortality risk. The benefits are manifold: not only does this result in an accelerated and accurate new business underwriting process, but it's also a way to create a quality data set for improved predictive underwriting.

On 10th of June, 2019, twenty-two AI researchers, including Andrew Ng and Yoshua Bengio, published a paper on how to tackle climate change with machine learning. I really enjoyed reading it and I am convinced that the paper as well as the climatechange.ai For that reason i created a series of blog posts and videos which provide a dense summary, listing many of the proposed solutions and linking research work as well as ongoing projects. In the big picture, all solutions aim to reduce greenhouse gas emissions. As my contribution to the global #ClimateStrike week from September 20th to 27th, i will post one chapter (video and blog post) on every working day.

Dr. Ganapathi Pulipaka was a recipient of the Top 50 Technology Leader awards for recognition of his contribution to artificial intelligence, machine learning, and data science; for the past five years on Twitter as a machine learning and data science influencer; as a contributor to thought leadership and of project implementation articles on Medium, Data Driven Investor, LinkedIn, GitHub; as a best-selling author of two books on Amazon - "The Future of Data Science and Parallel Computing: A Road to Technological Singularity," published on June 29, 2018, and "Big Data Appliances for In-Memory Computing: A Real-World Research Guide for Corporations to Tame and Wrangle Their Data," published Dec. 8, 2015 - and other eBooks that have reached all-time high rankings from the world's largest book ratings authority (featured on Forbes), BookAuthority; and also for writing another 400 research papers as part of academic research programs for PostDoc and PhD. He is an American data scientist and AI luminary who has been featured in top-tier magazines and news and industry publications and was a speaker for multiple media distribution networks and some of the top media station affiliates, including ABC, FoxNews, NBC, Yahoo Finance, MarketWatch, The CW, VentureBeat, MirrorReview, CIOReview, SAP, Erie News Now, USA Today, Double T 97.3 Lubbock's Radio station, 100.7 KFM BFM San Diego, KITV, Telemundo Lubbock 46, AZCentral, Insights Success, NewsOk, Pittsburgh Post-Gazette, MarketWatch, and Ask.

Sensitive synthetic skin enables robots to sense their own bodies and surroundings--a crucial capability if they are to be in close contact with people. Inspired by human skin, a team at the Technical University of Munich (TUM) has developed a system combining artificial skin with control algorithms and used it to create the first autonomous humanoid robot with full-body artificial skin. The artificial skin developed by Prof. Gordon Cheng and his team consists of hexagonal cells about the size of a two-euro coin (i.e. about one inch in diameter). Each is equipped with a microprocessor and sensors to detect contact, acceleration, proximity and temperature. Such artificial skin enables robots to perceive their surroundings in much greater detail and with more sensitivity.

The UK's first ever moon rover will launch into space in 2021 in a bid to unlock the secrets of the lunar surface. The tiny, spider-esque robot - which will be the world's smallest robotic moon rover - will crawl across the moon to take photographs and gather data. Developed by London-based star-up Spacebit, the robot forms part of a collaborative mission with US company Astrobotic. Nasa announced in May that Astrobotic was to be awarded a $79.5m contract to transport 14 instruments from various partners to investigate the moon's "volatile elements" such as hydrogen and oxygen, which could be used for astronaut life support and rocket fuel in the future. SpaceBit will be one of those partners, sending the rover to the surface inside Astrobotic's Peregrine lander.

The Swiss-based robotics group ABB opened its first global healthcare research hub in the U.S. and unveiled a new concept robot that could assist laboratory staff with their day-to-day tasks. The YuMi robot is designed to help complete the time-consuming and mundane work found around the hospital lab: such as loading and unloading centrifuges, pipetting, sorting test tubes or preparing medicines. Equipped with two articulating arms and sensors that will allow it to navigate around lab desks and its human co-workers, the robot could also be used to dispense medicines or transport them throughout a hospital--as well as deliver bed linens and perform other logistical tasks, according to the company. The goal, of course, is to free up highly skilled lab employees and clinicians for other objectives. ABB thinks it can complete these repetitive tasks up to 50% faster than people working manually, while also being able to work 24 hours a day.