FinTech industry is known to use artificial intelligence for a wide range of purposes. Digital enterprises use it for efficient chatbot response systems. Some businesses offer AI as an assistant for asset management and market analysis. The use cases of AI are widespread among the industry, and we can safely assume that technology will be further used. According to Mordor Intelligence, the AI market in fintech is projected to grow beyond $7 billion from only $1.2 bln in 2017.

Guaranteeing safe and fair machine behavior is still an issue today, says machine learning researcher and lead author Philip Thomas at the University of Massachusetts Amherst. "When someone applies a machine learning algorithm, it's hard to control its behavior," he points out. This risks undesirable outcomes from algorithms that direct everything from self-driving vehicles to insulin pumps to criminal sentencing, say he and co-authors. Writing in Science, Thomas and his colleagues Yuriy Brun, Andrew Barto and graduate student Stephen Giguere at UMass Amherst, Bruno Castro da Silva at the Federal University of Rio Grande del Sol, Brazil, and Emma Brunskill at Stanford University this week introduce a new framework for designing machine learning algorithms that make it easier for users of the algorithm to specify safety and fairness constraints. "We call algorithms created with our new framework'Seldonian' after Asimov's character Hari Seldon," Thomas explains.

Can it do something meaningful for me today? Which AI opportunities are next? Expanding Growth in Cloud Usage GPU Workstation GPU Server How to improve? Replicated data Difficult to scale Lack of security with open-source frameworks and applications introduces risk. Multiple Spark teams each with dedicated servers wasted capacity and high administrative overhead.

Schools like those in the Pennsylvania Montour School District have mandated AI in the grades 5-8 curriculum, and they are expanded the initiative in other grades as well. Educators have embedded artificial intelligence in STEM courses, and other subjects like Music, Computer Science and Media Arts also include AI in their curricula. Additionally, the district requires their students to take a stand-alone AI Ethics course that teaches students design and values.

William Karnes, MD, is director of the high-risk program and colonoscopy quality at the UCI Health H.H. Chao Comprehensive Digestive Disease Center in Orange, Calif., and chief medical officer of Docbot, a technology that uses artificial intelligence to detect abnormalities from colonoscopy capsule video. Here, Dr. Karnes shares his thoughts with Becker's ASC Review on the future of AI in the gastroenterology specialty, and how the technology could help patients and physicians. Question: Can you tell me a little more about the Docbot technology and how you got involved? Dr. William Karnes: The story goes back to 2012 when I came to UCI and Dr. Chan brought me on to wipe out colon cancer in Orange County. It was a three-pronged approach but one of the most important ones.

AI systems are already creating works that, if created by a human, would warrant IP protection. Reports of AI-created art, music, literary works, data, technology, formulas, flavors, and other innovations are becoming increasingly common. In 2016, for example, a new "Rembrandt" portrait was unveiled in the Netherlands, generated by an AI system that analyzed more than 300 real paintings of the Dutch master and then used AI, facial recognition, and 3D printing technologies to create an entirely new work in the same style. In 2018, a portrait created using AI sold for $432,500 at auction. A novel publicized as being the first book written by AI was published last year.

Nothing can be better than having an idea in advance about the tragedy to save multiple lives. It is AI that comes to rescue in such a desperate situation. FREMONT, CA: There are several areas in which Machine Learning and Artificial Intelligence have had an impact, but disaster management and recovery have become the technology's new bailiwick. AI aims to apply the technology properly by helping and alerting the first responders, together with the communities affected by the disaster. The greatest strength of AI lies in its ability to predict the catastrophe and prepare the authorities before the disaster.

A man has been able to move all four of his paralysed limbs using a groundbreaking mind-controlled exoskeleton, scientists have said. The tetraplegic 30-year-old, known only as Thibault, said his first steps in the robotic suit felt like being "the first man on the Moon". The system, which works by recording and decoding brain signals, was trialled in a two-year study by French researchers at biomedical research centre Clinatec and the University of Grenoble. Scientists conceded the suit was an experimental treatment far from clinical application but said it had the potential to improve patients' quality of life and autonomy. Wearing the robotic limbs, Thibault was able to walk and move his arms using a ceiling-mounted harness for balance.

I find these questions very interesting. During some recent study, I wrote a response to a different question'Will having robots around make people more or less lonely? I postulated that we will be lonelier when Robots offer an alternative to Human friendships. Suitable human companions will not be available, to those who seek them, because those potential companions all have chosen robotic friends. We have to factor in our human nature into all AI related questions.

Welcome to our monthly curation of emerging technology news tidbits and trends that help inform the research we do for our Avanade Trendlines program. Let's discuss any thoughts you have in the comments. Technology: AI for drug discovery Insilico Medicine, a Hong Kong biotech startup, has been working with the University of Toronto to leverage machine learning to create a new drug to prevent tissue scarring. Bringing a new drug to market usually costs billions of dollars and takes years. Insilico Medicine created its new drug in just 46 days. Insilico Medicine reached this milestone using reinforcement learning, an AI technique that hasn't yet fully impacted the enterprise.