The artificial segmentation of an investment management process into a workflow with silos of offline human operators can restrict silos from collectively and adaptively pursuing a unified optimal investment goal. To meet the investor's objectives, an online algorithm can provide an explicit incremental approach that makes sequential updates as data arrives at the process level. This is in stark contrast to offline (or batch) processes that are focused on making component level decisions prior to process level integration. Here we present and report results for an integrated, and online framework for algorithmic portfolio management. This article provides a workflow that can in-turn be embedded into a process level learning framework. The workflow can be enhanced to refine signal generation and asset-class evolution and definitions. Our results confirm that we can use our framework in conjunction with resampling methods to outperform naive market capitalisation benchmarks while making clear the extent of back-test over-fitting. We consider such an online update framework to be a crucial step towards developing intelligent portfolio selection algorithms that integrate financial theory, investor views, and data analysis with process-level learning.

Enver Yucel is the founder of BAU Global, a broad education network headquartered in Turkey, consisting of five universities, three language schools, four academic centers and one boarding school spread across North America, Europe, Africa and Asia. Yucel has devoted his life to education, having served an estimated 150,000 students since starting his first institution with three class rooms in Istanbul in 1974. He is also a member of the Advisory Board of the UN Institute for Training and Research. He was invited to speak at the AI World Conference & Expo in Boston in the fall of 2019, the first Turkish speaker in the four years of the conference. He recently took some time to answer questions posed by AI Trends Editor John P Desmond, who was in the audience for his Boston talk.

The 2020 Call for Code Global Challenge has expanded its focus to tackle the effects of COVID-19. Technology solutions can help reduce the impact this pandemic has on our daily lives and the world. COVID-19, which is caused by the novel corona virus, has revealed the limits of the systems we take for granted in a very short period of time. Whether it's the massive increase in demand for information during a time of crisis, educating children when schools are closed, or helping communities best distribute limited resources, technology has a pivotal role to play. Through Call for Code, you can see your idea deployed by a global partner ecosystem.

"Gone are the days of data engineers manually copying data around again and again, delivering datasets weeks after a data scientist requests it"-these are Steven Mih's words about the revolution that artificial intelligence is bringing about, in the scary world of big data. By the time the term "big data" was coined, data had already accumulated massively with no means of handling it properly. In 1880, the US Census Bureau estimated that it would take eight years to process the data it received in that year's census. The government body also predicted that it would take more than 10 years to process the data it would receive in the following decade. Fortunately, in 1881, Herman Hollerith created the Hollerith Tabulating Machine, inspired by a train conductor's punch card.

"It was a one-day competition with the aim of building machine learning models and increasing the awareness of students on Artificial Intelligence.

Artificial intelligence is improving the ability of healthcare providers to effectively respond to the coronavirus pandemic – allowing for faster diagnoses and speedy dissemination of trusted information as well as detecting fraudulent insurance claims and accurately evaluating patient data in real time. SoftBank-backed AI company Automation Anywhere is offering free healthcare bots to help the industry manage increased workloads due to the outbreak. "Bots are software that will be configured within the company's system in 24 to 48 hours. They can keep a track of infected people, analyse data, find new trends and perform clerical tasks," Milan Sheth, the company's executive vice president for India, the Middle East and Africa, told The National. Collaborating with one of its technology partners in Macau, Automation Anywhere has developed a global positioning system-enabled dashboard that shows local statistics, sites of infection, hospital wait times, local availability of masks and other useful information which is updated every few minutes.

Jennifer Griffin takes us back through the history of US-Vietnam relations. Researchers at Ohio State University are using satellite images and sophisticated artificial intelligence technology to search for unexploded bombs from the Vietnam War. The technology already has been used to survey Vietnam War-era bomb craters in Cambodia. "The new method increased true bomb crater detection by more than 160 percent over standard methods," researchers explain in a statement. "The model, combined with declassified U.S. military records, suggests that 44 to 50 percent of the bombs in the area studied may remain unexploded."

On March 31st the Her Future Summit powered by the Global Startup Ecosystem will take place virtually with 1000 digital delegates. This will be the largest virtual summit for women to date featuring digital stakeholders from over 60 countries. The Her Future Summit aims to identify, train, and empower the next generation of female pioneers. The summit also serves to teach fundamentals of future technology and the leading social impact applications of Artificial Intelligence, among other technologies. Her Future Summit was scheduled to take place in 7 global cities - DC, Silicon Valley, New York, Accra, Port-au-Prince, London, and Dubai - throughout the month of March.

The Global Artificial Intelligence in Healthcare Market is expected to grow from USD 2,178. The positioning of the Global Artificial Intelligence in Healthcare Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital). The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence in Healthcare Market including are Google, IBM, Intel, Microsoft, NVIDIA, Amazon Web Services, General Electric Company, Medtronic, Micron Technology, and Siemens Healthineers. On the basis of Offering, the Global Artificial Intelligence in Healthcare Market is studied across Hardware, Services, and Software. On the basis of Technology, the Global Artificial Intelligence in Healthcare Market is studied across Computer Vision, Context-Aware Computing, Machine Learning, Natural Language Processing, and Querying Method.

The concept of smart homes is not something new. In 1975, a Scotland company developed a communication protocol that enables smart home devices to talk to each other with the help of existing electrical wires of a home. Over the years, numerous technological developments made smart homes accessible to a large number of people around the globe. If you have yet to try smart home technology a try, here are some of the main reasons why you should have it. No matter what type of neighborhood you live in, it's of the utmost importance to do everything you can to keep your home secure.