Turns out that AI is not able to be a patent holder, plus other thorny topics. Can AI be an inventor? According to a recent decision by the U.S. Patent and Trademark Office (USPTO), the answer seems to be no. There is more to this story, though, and we'll need to push past the surface to understand the full nuances involved. Perhaps a more apt way to depict the situation is whether AI can be formally granted a U.S. patent, and for that the answer appears to unequivocally and emphatically be a razor-sharp no.

Countries around the world have responded to the Covid-19 coronavirus with lockdowns, restrictions, and technology solutions that use artificial intelligence to combat the virus. As the world begins to emerge from the pandemic, China is first to emerge from Covid-19 imposed lockdowns thanks to cutting-edge technology, with autonomous vehicles and smart cities seeing an acceleration during this time. In China, new opportunities for the autonomous driving industry and intelligent solutions have stood out. Restrictions on retail, dining, and everyday life during the outbreak have increased demand for driverless deliveries and non-contact operations, both heavily relying on autonomous driving technologies. As the outbreak progresses, all sectors of Chinese society continue to apply AI, big data capabilities, and robot services to prevent and control the coronavirus.

In 1937, the year that George Orwell was shot in the neck while fighting fascists in Spain, Julian Chen was born in Shanghai. His parents, a music teacher and a chemist, enrolled him in a school run by Christian missionaries, and like Orwell he became fascinated by language. He studied English, Russian, and Mandarin while speaking Shanghainese at home. Later he took on French, German, and Japanese. In 1949, the year Mao Zedong came to power and Orwell published 1984, learning languages became dangerous in China.

Maybe you're sad, plodding along with your head slumped and shoulders sagging. Maybe you're angry and alert, hurrying along upright. Whatever your gait, that combined with your facial expression is nonverbally signaling to other people how much space they should give you--and being able to accurately read these cues is an essential skill for our social species. Researchers at the University of Maryland have developed an algorithm called ProxEmo, which gives a little wheeled robot the power to analyze your gait in real time, and to take a guess at how you might be feeling. Based on that perceived emotion, the robot can choose its route to give you more or less space. This might seem like a small matter for robot-human interactions, but we might also imagine that one day, when machines are sophisticated enough, they might read a sad person's gait and try to help them.

A recording of a cough, the noise of a person's breathing or even the sound of their voice could be used to help diagnose patients with Covid-19 in the future, according to Professor Cecilia Mascolo, co-director of the centre for mobile, wearable systems and augmented intelligence at the University of Cambridge, UK. Prof. Mascolo has developed a sound-collecting app to help train machine learning algorithms to detect the tell-tale sounds of coronavirus infection. Created as part of a project called EAR, she hopes it might eventually lead to new ways of diagnosing respiratory diseases and help in the global fight against coronavirus. The human body makes noises all of the time. Our heart, lungs and digestive system all make noises and they can tell us a lot.

Early in 2018, the volcano Anak Krakatau in Indonesia started falling apart. It was a subtle transformation -- one that nobody noticed at the time. The southern and southwestern flanks of the volcano were slipping towards the ocean at a rate of about 4 millimetres per month, a shift so small that researchers only saw it after the fact as they combed through satellite radar data. By June, though, the mountain began showing obvious signs of unrest. It spewed fiery ash and rocks into the sky in a series of small eruptions. And it was heating up.

After consuming hundreds of books, several notes about Data Science and have viewed several videos of Data Scientists sharing their experience. You have all the theoretical knowledge you need to know for becoming a Data Scientists. But are you a Data Scientist now? The next big step is to start applying the concept, think differently and how you can do that is either find real-world problems of fields in which you are interested in or you can take participate in Hackathons and Machine learning Competitions. Hackathons are efficient and new means of hiring professionals in aspects of machine learning, Artificial Intelligence and data science.

We conducted a survey in the months of August, September and until Mid Oct 2019. The idea was to explore the top 10 data science programs/institutes in India: Ranking 2019-2020. We circulated a Google form with all the visitors on our jobs portal, Analytics Jobs. While ranking the programs, we kept in mind the ROI. So, the biggest factor for Ranking is based upon return on investment and the skills delivery to the students.

Machine Learning is deemed as one of the key driver for the fourth industrial revolution. With more business firms now welcoming machine learning insights into their fabric of software advancements, to overcome the complex process involved in deploying it, DevOps methods are employed on the machine learning models. This emerging term in professional machine learning applications is called as MLOps. GigaSpaces Technologies, a computer software company, provides leading in-memory computing platforms for real-time insight to action and extreme transactional processing. With GigaSpaces, enterprises can operationalize machine learning and transactional processing to gain real-time insights on their data and act upon them at the moment.

The application of artificial intelligence (AI) and machine learning to the business and IT, from intelligent IT operations (AIOps) to service management to software testing, is keeping the data revolution moving at lightning speed. That's why data science remains a popular concentration for computer science students who have the talent for math and analytics. And it's why more organizations are clamoring for data scientists who can help make decisions faster and put their businesses ahead of competitors. In today's age data science expertise with desirable knowledge in relatable fields is rare to find and therefore we have enlisted top 10 data science experts who you can follow in Twitter. Hilary is the Founder of Fast Forward Labs, a machine intelligence research company, and the Data Scientist in Residence at Accel.