In a surprise announcement, Indonesia's president Joko Widodo has ordered government agencies to replace top civil servants with artificial intelligence (AI) during 2020. The president announced the decision to a room of business leaders as he set out plans for his second five-year term after winning an election in April, Reuters reported. Widodo said that the top four tiers of civil servants would be condensed into two. "I have ordered my minister [of administrative and bureaucratic reform] to replace them with AI. Our bureaucracy will be faster with AI," he said.

AI experts gathered at MIT last week, with the aim of predicting the role artificial intelligence will play in the future of work. Will it be the enemy of the human worker? Will it prove to be a savior? Or will it be just another innovation--like electricity or the internet? As IEEE Spectrum previously reported, this conference ("AI and the Future of Work Congress"), held at MIT's Kresge Auditorium, offered sometimes pessimistic outlooks on the job- and industry-destroying path that AI and automation seems to be taking: Self-driving technology will put truck drivers out of work; smart law clerk algorithms will put paralegals out of work; robots will (continue to) put factory and warehouse workers out of work.

The Anglo-Saxon vessel found in the Sutton Hoo burial mound in Suffolk 80 years ago will sail again as experts look to rebuild the ship from digital 3D models. Dated back to the early 7th century, the 90 foot (27 metre) -long vessel is oft dubbed a'ghost ship' thanks to its manner of preservation. In the mound -- thought the resting place of King Rædwald -- only the impression of the ship and its iron rivets remained, the timber having long rotted away. Nevertheless, a team of archaeologists and shipbuilders have succeeded in creating a three-dimensional digital mock-up of the vessel to allow it to be reconstructed. Expert hope that recreating a full-size, fully-operational version of the ship will help shine light on how the Anglo-Saxons began England's tradition of seafaring.

A new generation of global inequalities fuelled by climate change and technology could trigger violence and political instability if left unchecked, the United Nations warned on Monday. Climate change and technology rather than wealth and income are the modern-day wedges that are increasingly dividing the haves from the have-nots, said the United Nations Development Programme (UNDP) in its 2019 Human Development Report. These forms of inequality are rising as progress has been made in more traditional measures of inequality such as extreme poverty and disease, it said. "Under the shadow of the climate crisis and sweeping technological change, inequalities in human development are taking new forms," the report said. "The climate crisis is already hitting the poorest hardest, while technological advances such as machine learning and artificial intelligence can leave behind entire groups of people, even countries."

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In order to accurately diagnose a patient's condition, Artificial Intelligence (AI) requires data mining method and pattern recognition. Neural networks process information by identifying patterns and data previously loaded into the system. Global artificial intelligence market includes 35% share of drug discovery and medical imaging which is likely to go up to 40% that will amount to USD 2.5 billion by 2024. This is possible because of AI's ability to recognize drug targets and help to instantly model, discover, recognize and monitor molecules. Medical imaging, on the other hand, is one of the main areas of application that has led to a better diagnosis of cancer and tumors using AI.

A free day of #AI / #ML workshops (6!) and talks is coming to Norway! On Dec 14th, come to @MicrosoftNorge office to make AI a part of your developer skills.

Tata Consultancy Services (TCS) has published a new report titled Understanding the Dynamics of Artificial Intelligence in Intellectual Property. Designed to provide technologists, academicians, entrepreneurs, professionals and policymakers with insights on the frontiers in AI-related research and IP management and protection, the report was released today in partnership with the Confederation of Indian Industry (CII) at the 5th International Conference on IPR, organized by CII in collaboration with the Department for Promotion of Industry and Internal Trade, Government of India, and the Intellectual Property Office, India, said a press release from the company. The report captures trends in AI-related research globally, noting for example that while machine learning is the most common AI technique, mentioned in 89% of the patents filed, deep learning (DL) is the fastest-growing technique mentioned in patent filings. Another finding is that the highest number of patent families is in computer vision (49%), NLP (14%) and speech processing (13%). While it is no surprise that the US and China lead the world in AI-related patents, it comes as an eye-opener that China leads the world in deep learning, with the Chinese Academy of Sciences owning the largest DL-related patent portfolio and Baidu leading the pack among corporates globally.

Israel-based Medial EarlySign and Geisinger Health System have partnered to apply advanced artificial intelligence and machine learning algorithms to Medicare claims data to predict and improve patient outcomes. An EarlySign-Geisinger proposal has been selected as one of 25 participants to advance to Stage 1 of a technology challenge from the Centers for Medicare and Medicaid Services to accelerate the development of AI and machine learning solutions for healthcare. "Approximately 4.3 million hospital readmissions occur each year in the U.S., costing more than $60 billion, with preventable adverse patient events creating additional clinical and financial burdens for both patients and healthcare systems," says David Vawdrey, Geisinger's chief data informatics officer. "Together with our partner EarlySign, we have forged a dynamic team that is rapidly developing novel solutions to achieve the Quadruple Aim of improving the patient experience of care, improving the health of populations, reducing cost and improving clinical care provider satisfaction," adds Vawdrey. The AI vendor and Danville, Penn.-based regional healthcare provider intend to develop models that predict unplanned hospital and skilled nursing facility admissions within 30 days of discharge and adverse events such as respiratory failure, postoperative pulmonary embolism or deep vein thrombosis, as well as postoperative sepsis before they occur.

Artificial Intelligence (AI) offers acceleration in the treatment of patients as it can estimate and analyze data quickly when symptoms occur, according to an expert. Misdiagnoses experienced during examinations performed in diagnosis stages of diseases will significantly drop with AI, a social media specialist told Anadolu Agency (AA). Deniz Ünay said the process will take place when thousands of similar cases with patient history are analyzed in seconds and physician errors will be minimized. "According to a study conducted in the U.S., some 20% of medical errors occurred during the initial examination due to insufficient time for patient-physician interviews, and these errors caused wrong treatment processes," Ünay said. "Considering an estimated annual figure of around 87,000 cases around the world, the fact that artificial intelligence can estimate and analyze data quickly reveals that it can accelerate treatment processes," the expert opined.