The innovation of GPT-3 and advancements in facial recognition technology, brain chips, chatbots, self-driving cars, drones, as well as robotics have marked 2020 as the year of artificial intelligence. However, similar to any other technologies, AI also came with its challenges. From biasness to inaccuracy, AI has proved its immaturity in many cases. As a matter of fact, prominent tech leaders, researchers as well as scientists, like Elon Musk, Yann LeCun, as well as Bill Gates have continuously warned the industry about the hype AI has created and the consequences it can bring if not appropriately handled by the tech giants. Such critical judgements came from the many instances where AI failed to demonstrate its value to the industry.

Bright red cranberries are visible from space during the harvest season, which occurs from mid-September through mid-November in North America. These images show a sample of bog harvests in Wisconsin between 2015 and 2019 captured by the Landsat 8 and Sentinel-2 satellites. In 1959, a nationwide food panic erupted over a treasured Thanksgiving dish. Two weeks before the holiday, the federal government announced that cranberries had been contaminated by a cancer-causing chemical. Cranberry sales plummeted, schools tossed out cranberry products, restaurants eliminated the suspect fruit from menus.

South Korea pledged to invest about $1 billion for artificial intelligence in semiconductor manufacturing to build on the nation's success developing computer chips to power economic growth. President Moon Jae-in said Wednesday at a meeting of South Korea's top tech executives in Goyang, Gyeonggi Province, that his administration is prepared to improve regulations on artificial intelligence and provide a road map for innovation, EDaily and News 1 reported. "Countries around the world are competing to dominate in artificial intelligence," Moon said. "South Korea's dream is to become a leader [in the sector] in the post-pandemic era." Moon also said Korea has applied AI for public use, and that Seoul will work to open an "AI era" that would allow South Koreans to enjoy the benefits of innovation in their daily lives.

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone. At the heart of that mission are the people that work here--the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation. That's because at Arity, we believe work and life shouldn't be at odds with one another.

And as you mentioned, I was the former Assistant Secretary for acquisition, and I spent my entire career, more than 34 years, working in this arena. And it's very important for us to change our dynamic, our processes and policies. Not the practice the practice is kind of like what engineering and physics allows. But our practice is implemented through process. And in doing so we need to have an understanding how can we improve it.

The World Intellectual Property Office (WIPO) held its third "Conversation on Intellectual Property and Artificial Intelligence" on November 4, 2020, to discuss its revised issues paper on Intellectual Property Policy and Artificial Intelligence. Public bodies in the United States, United Kingdom, and European Union have each recently published reports on the interrelationship of AI on IP policy. In October 2020, the United States Patent and Trademark Office (USPTO) published a report, Public Views on Artificial Intelligence and Intellectual Property Policy, on two formal requests for comments, and the European Parliament published a report on intellectual property rights for the development of AI technologies. In September 2020, the UK's Intellectual Property Office (UKIPO) published a call for views on the policy considerations and future relationship between AI and IP. Courts in each jurisdiction have so far rejected the suggestion that AI has its own legal personality.

Machine Learning (ML) is a well-known innovation that nearly everyone knows about. A study uncovers that 77% of devices that we presently use are utilizing ML. From a social event of SMART devices over Netflix proposition through products like Amazon's Alexa, and Google Home, artificial intelligence services are proclaiming cutting-edge innovative solutions for organizations and regular day to day existences. The year 2021 is ready to observe some significant ML and AI trends that would maybe reshape our economic, social, and industrial workings. As of now, the AI-ML industry is developing at a quick rate and gives sufficient advancement scope to companies to bring the vital change. According to Gartner, around 37% of all companies reviewed are utilizing some type of ML in their business and it is anticipated that around 80% of modern advances will be founded on AI and ML by 2022.

America is facing a health care crisis primarily due to its aging population. Physician shortages have come to the forefront recently, as many hospitals are overwhelmed due to the COVID-19 pandemic. In truth, our looming physician shortage is a generation in the making, as baby boomer doctors retire in droves. This is all occurring as lifespans are increasing--hence, there are fewer doctors to treat more patients. Exacerbating the problem is that medical schools are not churning out medical students fast enough due to capacity constraints, and it takes 12 to 15 years to train a doctor. Today, more than half of active physicians are older than 55, and by the year 2032, the Association of American Medical Colleges projects a shortfall of 122,000 doctors in the United States.

The Joint Artificial Intelligence Center began in 2018 to accelerate the DOD's adoption and integration of artificial intelligence. From the start, it was meant to serve as an AI center of excellence and to provide resources, tools and expertise to the department. The JAIC's new director said that while the center's early efforts bore fruit, the overall effort was not transformational enough and a more aggressive approach is needed. "In JAIC 1.0, we helped jumpstart AI in the DOD through Pathfinder projects we called mission initiatives," said Marine Corps Lt. Gen. Michael S. Groen, during a briefing today at the Pentagon. "We learned a great deal and brought onboard some of the brightest talent in the business. When we took stock, however, we realized that this was not transformational enough. We weren't going to be in a position to transform the department through the delivery of use cases."

Only 4 percent of all cancer therapeutic drugs under development earn final approval by the U.S. Food and Drug Administration (FDA). "That's because right now we can't match the right combination of drugs to the right patients in a smart way," said Trey Ideker, Ph.D., professor at University of California San Diego School of Medicine and Moores Cancer Center. "And especially for cancer, where we can't always predict which drugs will work best given the unique, complex inner workings of a person's tumor cells." In a paper published October 20, 2020 in Cancer Cell, Ideker and Brent Kuenzi, Ph.D., and Jisoo Park, Ph.D., postdoctoral researchers in his lab, describe DrugCell, a new artificial intelligence (AI) system they created that not only matches tumors to the best drug combinations, but does so in a way that makes sense to humans. "Most AI systems are'black boxes'--they can be very predictive, but we don't actually know all that much about how they work," said Ideker, who is also co-director of the Cancer Cell Map Initiative and the National Resource for Network Biology.