The high-tech help could come from an area not normally associated with fighting wildfires: artificial intelligence (AI).

According to a study of Massachusetts Institute of Technology (MIT), the iartificial intelligence (AI), can predict the races of patients through …

Welsh Government investment in universities collaborating in data science and artificial intelligence is changing lives and helping Wales become …

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. For decades, researchers have used benchmarks to measure progress in different areas of artificial intelligence such as vision and language. Especially in the past few years, with deep learning becoming very popular, benchmarks have become a narrow focus for many research labs and scientists. But while benchmarks can help compare the performance of AI systems on specific problems, they are often taken out of context, sometimes to harmful results. In a paper accepted at the NeurIPS 2021 conference, scientists at University of California, Berkeley, University of Washington, and Google outline the limits of popular AI benchmarks.

From the coining of the term back in the 1950's to now, AI has taken remarkable leaps forward and only continues to grow in relevance and sophistication But despite these advancements, there's one problem that continues to plague AI technology – the internal bias and prejudice of its human creators. The issue of AI bias cannot be brushed under the carpet, given the potential detrimental effects it can have. A recent survey showed that 36% of respondents reported that their businesses suffered from AI bias in at least one algorithm, resulting in unequal treatment of users based on race, gender, sexual orientation, religion or age. These instances incurred a direct commercial impact: of those respondents, two-thirds reported that as a result they lost revenue (62%), customers (61%), or employees (43%). And 35% incurred legal fees because of lawsuits or legal action.

With wildfires becoming bigger and more destructive as the western part of the United States dries out and heats up, agencies and officials tasked with preventing and battling the blazes could soon have a new tool to add to their arsenal of prescribed burns, pick axes, chainsaws and aircraft. The high-tech help could come from an area not normally associated with fighting wildfires: artificial intelligence (AI). Lockheed Martin Space, based in Jefferson County, is tapping decades of experience in managing satellites, exploring space and providing information to the US military to offer more accurate data quicker to ground crews. It is talking to the US Forest Service, university researchers, and a Colorado state agency about how their technology could help. By generating more timely information about on-the-ground conditions and running computer programs to process massive amounts of data, Lockheed Martin representatives say they can map fire perimeters in minutes rather than the hours it can take now.

AI & Machine Learning Applications in the Real World According to the latest trends of AI-based solutions, there is hardly any decisive sector or industry that does not rely on smart algorithms and automation to perform highly advanced tasks that would be impossible for most humans. Many companies use Machine Learning and Artificial Intelligence to identify and sort through the best possible candidates for a position. With a few Machine Learning courses that are specially designed for regular people, without advanced technical knowledge, it's easy to understand why there are so many applications of advanced technologies in the real world. Luckily, this situation can now be avoided by training machine learning algorithms to take over the task. According to a case study performed at Canada's largest bookstore chain (Indigo), the use of AI and machine learning algorithms to screen job candidates and decide who to hire has led to an increase in overall productivity.

Listen to this episode on Anchor FM. Stefan has been a partner in an investment firm where he assisted in building data infrastructure and predictive analytics practice. He accomplished this when data science was only beginning to be taken seriously in the investment industry. You won't want to miss this opportunity to learn from Stefan's experiences. Machines learning from data will continually improve in achieving performance measures.

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His Excellency Omar Sultan Al Olama has been appointed as Minister of State for Artificial Intelligence in October 2017, and then was appointed as Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications in July 2020. His responsibilities include enhancing the government performance levels by investing in the latest technologies and tools of artificial intelligence and applying them in various sectors. His Excellency Omar Sultan Al Olama is Spearheading UAE efforts to be positioned as a global leader in Digital economy, With the focus to enhance UAEs digital economy contribution to the GDP. His Excellency is also focused on strengthening the UAE's position as a global reference in remote work applications. His Excellency Omar Sultan Al Olama is currently the Managing Director of the World Government Summit.