This paper deals with these problems by using a new decomposition-based algorithm called: "Fractal geometric decomposition base algorithm" (FDA). It is a deterministic metaheuristic developed to solve large-scale continuous optimization problems [5]. It can be noticed, that we call large scale problems those having the dimension greater than 1000. In this research, we are interested in using FDA to deal with MOPs because in the literature decomposition based algorithms have been with more less success applied to solve these problems, their main problem is related to their complexity. In this work, the goal is to deal with this complexity problem by keeping the same level of efficiency. FDA is based on "divide-and-conquer" paradigm where the sub-regions are hyperspheres rather than hypercubes on classical approaches. In order to identify the Pareto optimal solutions, we propose to extend FDA using the scalarization approach. We called the proposed algorithm Mo-FDA.

We know of the impact that Robotic Process Automation (RPA) has made on multiple industries. However, RPA in itself is undergoing a transformation that is set to bring a wave of unprecedented change. This transformation is known as Intelligent Process Automation (IPA). Intelligent Process Automation is the coming together of Artificial Intelligence with new age technologies such as Natural Language Processing, Machine Learning, Computer Vision, Robotic Process Automation, Cognitive Automation and more. IPA is set to become the core of next generation operating models.

Healthcare researchers have been exploring the use of artificial intelligence to help diagnose post-traumatic stress disorder by analyzing a patient's speech and to help treat anxiety and depression. Could AI replace a psychiatrist's role in providing mental health care? Most psychiatrists don't see AI making their jobs obsolete, according to a recent survey from Sermo, a social platform for physicians. Sermo teamed up with psychiatry and health technology researchers at Duke University School of Medicine and Beth Israel Deaconess Medical Center at Harvard Medical School to query nearly 800 psychiatrists in 22 countries about the potential benefits and risks of using AI and machine learning in mental health and the impact on the field of psychiatry. Only 4% of psychiatrists believe AI will be able to replace, not just assist, human doctors in performing complex psychiatric tasks.

In recent years, machine learning has been proving a valuable tool for identifying new materials with properties optimized for specific applications. Working with large, well-defined data sets, computers learn to perform an analytical task to generate a correct answer and then use the same technique on an unknown data set. While that approach has guided the development of valuable new materials, they've primarily been organic compounds, notes Heather Kulik Ph.D. '09, an assistant professor of chemical engineering. Kulik focuses instead on inorganic compounds--in particular, those based on transition metals, a family of elements (including iron and copper) that have unique and useful properties. In those compounds--known as transition metal complexes--the metal atom occurs at the center with chemically bound arms, or ligands, made of carbon, hydrogen, nitrogen, or oxygen atoms radiating outward. Transition metal complexes already play important roles in areas ranging from energy storage to catalysis for manufacturing fine chemicals--for example, for pharmaceuticals.

Drone applications have undeniable benefit for enterprise operations in many industries. Integrating an entirely new technology into existing workflows, however, is difficult – and scaling operations has been slow. The drone industry is taking an active role in creating new solutions to ease the way: like the new partnership between drone industry leaders Kespry and DroneBase. Commercial drone platform Kespry has been thinking creatively about the problem of enterprise operations since their inception. Kespry was one of the first to offer an easy to use, joystick-free drone platform: vertically integrated to address security concerns and easse of use.

Kespry and DroneBase have announced a partnership to enable insurance, mining, and aggregates enterprises across North America to expand aerial analytics implementation across their worksites. Kespry's customers will now be able to leverage DroneBase to manage their Kespry deployments as part of Kespry's new Bring Your Own Drone (BYOD) program. BYOD includes a new platform pricing model designed to meet the expanding enterprise aerial intelligence requirements of multi-site mining and aggregates companies, as well as large-scale residential and commercial property insurers. The combination of Kespry and DroneBase brings the best of the platform and services worlds together, offering a cost-effective, productive way of using drone-based analytics across the largest insurance, mining, and aggregates businesses. "We're very pleased to work with DroneBase and its team of dedicated, aerial intelligence professionals to further expand Kespry insurance, mining and aggregates deployments across the country," said George Mathew, CEO, Kespry.

Intensive care units across the country are increasingly implementing artificial intelligence and machine learning technology to help sort through patients' medical data and predict and diagnose illnesses, NBC reports. "Critical care is essentially this interface between humans and technology," said Peter Laussen, chief of critical care medicine at Toronto's Hospital for Sick Children, according to the report. "The amount of data streaming from the patient in the ICU is huge." More articles on artificial intelligence: UnityPoint Health invests $1M in AI for lung analysis Cincinnati Children's AI system reduces patient screening time by 34% Children's National Health to apply AI to study ICU transitions

Artificial intelligence startup Replicant Inc. today said it has raised $7 million in seed funding for its customer relationship-focused voice response technology and appointed a former executive from contact center unicorn Talkdesk Inc. as chief executive. The San Francisco-based company said its automated assistant can carry on complex and detailed conversations with customers with response times that approximate those of a human agent. The product of two years of development, the software integrates with customer relationship management systems from Salesforce.com Inc. and Zendesk Inc. for automatic call summarization and can be customized to take actions according to a company's policies. "We spend time with customer and managers, listen to calls and understand the calls they don't like," said new CEO Gadi Shamia, former chief operating officer of Talkdesk. "Those are calls where we perform best."

Apple workers have stopped listening to Siri queries worldwide, the company said this week. Apple plans to bring back human reviews of Siri voice recordings at some unspecified date, but the company said it will only review them when customers specifically opt in to the practice. Separately, Google today confirmed that it recently "paused" human reviews of Google Assistant queries worldwide. Apple's decision to stop having humans listen to Siri queries follows a report last week that contractors who review the recordings for accuracy heard private discussions and even sexual encounters. Apple calls the human reviews of Siri recordings "grading."

Learn all about how they are humanizing technology, making our roads safer, and much more! My guest today is Rana el Kaliouby, and she is the CEO of Affectiva and a former professor of computer science. Why don't you tell us a little bit about your background, and what you did before starting Affectiva and what the genesis of the idea? I did my PhD at Cambridge University, focusing on machine learning, and computer vision. Early on in my career, I recognized that technology's becoming really pervasive. It has a lot of IQ, a lot of cognitive intelligence, but it has literally no emotional intelligence at all. As I'm sure you know from both your personal and your professional life, EQ matters. Our emotional intelligence predicts how persuasive we are, how likable we are, our ability to motivate other individuals. I believe that that's true for technology that's interacting with us on a day to day basis.