Is it possible to learn how to feel? A research study to validate artificial creativity will discover it. Launching in Spanish, Falta Una Palabra- translated as In Need of a Word is a novel written by Dr. Ángel García-Crespo with the help of AI. It tells the love story of Beatriz and Benito, two people looking for a word to describe the nature of their relationship. Beatriz and Benito share a dilemma that feeds their passion, they can't be together or separated.

… popular among investors, are expected to continue creating a huge impact in areas like AI (artificial intelligence), ML (machine learning), …

Early AI began with a variety of tasks such as checkers and chess, speech recognition, language translation, and solving word problems. Over the years it has progressed to give us automated vacuum cleaners, robot dogs, Siri and Alexa, image recognizers, Chess and Go world masters, self-driving cars, and self-guided drones. These technologies have powerful impacts on Naval operations and warfighting as well. AI has the potential to revolutionize military technology, capability and operations. The possibilities have raised many speculations about what AI is capable of and whether it can be trusted.

WIRE)--Pinpoint Predictive is pleased to announce a new partnership with Ohio Mutual Insurance Group, through which the two organizations will use applied data and analytics to more accurately predict and evaluate loss risk for the mutual insurer. Industry experts estimate that the average U.S. family pays up to $700 in extra insurance premiums each year to account for the $80 billion in losses experienced due to fraud and premium leakage (underpriced policies due to both intentional and inadvertent mischaracterization of a customer's insured risks). Pinpoint Predictive offers a unique, turnkey solution that allows carriers to leverage the predictive power of behavioral economics, big data, and deep learning for risk selection and determination of customer journey, while maintaining the highest standards in privacy safeguards. These cutting-edge capabilities enable insurers to more precisely identify loss and other unreported/underreported risk, and to create more satisfactory customer experiences for the majority of customers. "This new tool offered by Pinpoint Predictive is a promising approach," said Ohio Mutual Chief Analytics Officer Susan Kent, "and we believe it's an innovative way for us to be even more precise in our identification and mediation of circumstances where loss is more likely to occur. Through the thoughtful application of this technology, we hope to ultimately create even more equitable experiences and products for our members."

The initial effort will include implementing NVISO's AI solutions for Social Robots and In-cabin Monitoring Systems on BrainChip's Akida processors. Developers of automotive and consumer technologies are striving for devices that better respond to human behavior--which requires tools and applications to interpret human behavior captured from cameras and sensors on devices. However, these environments can be constrained by limited compute performance, power consumption, and cloud connectivity lapses. Since information is not sent off-device, user privacy and security are also protected. NVISO's technology is uniquely able to analyze signals of human behavior such as facial expressions, emotions, identity, head poses, gaze, gestures, activities, and objects with which users interact.

To engineer proteins for specific functions, scientists change a protein sequence and experimentally test how that change alters its function. Because there are too many possible amino acid sequence changes to test them all in the laboratory, researchers build computational models that predict protein function based on amino acid sequences. Scientists have now combined multiple machine learning approaches for building a simple predictive model that often works better than established, complex methods.

Obtaining Insights – While many service leaders jump to the cost savings potential of AI, one of AI's key benefits is in its ability to obtain insights and predictions. Insight generation allows organizations to move beyond cutting costs to generating value. Organizations can use these insights to guide agent and application decisions, ensuring customers receive the best service experience possible. Three examples of how AI is used to obtain insights in customer service are personalization, customer lifetime value and AI-based customer routing. Ensuring Optimal User Experiences – Another key benefit of AI is in how it creates optimal customer and agent experiences.

MD&M West Booth #1259 -- MBX Systems, a specialized hardware designer and integrator, announced today that it is working with the NVIDIA Clara Holoscan MGX AI computing platform to streamline the development of next-generation AI-defined medical instrument solutions. Medical technology developers using the NVIDIA platform can deploy their solutions on MBX's embedded and edge hardware building blocks to eliminate costly and time-consuming custom hardware development. Clara Holoscan MGX is an AI computing platform for commercial medical devices that require high-performance, low-latency AI capabilities. The platform can help medical technology developers reduce development time as well as certification time and effort. It also provides long-term whole-stack software support and long-lifecycle support for NVIDIA hardware components, reducing the need for costly hardware updates for obsolete components while also ensuring the software is regularly updated with bug fixes and security vulnerability patches.

It detected high risk in the heart circled in red. A new artificial intelligence-based approach can predict, significantly more accurately than a doctor, if and when a patient could die of cardiac arrest. The technology, built on raw images of patient's diseased hearts and patient backgrounds, stands to revolutionize clinical decision making and increase survival from sudden and lethal cardiac arrhythmias, one of medicine's deadliest and most puzzling conditions. The work, led by Johns Hopkins University researchers, is detailed today in Nature Cardiovascular Research. "Sudden cardiac death caused by arrhythmia accounts for as many as 20 percent of all deaths worldwide and we know little about why it's happening or how to tell who's at risk," said senior author Natalia Trayanova, the Murray B. Sachs professor of Biomedical Engineering and Medicine.

As an example of the efficiency that AI can introduce, let's consider production-line workers and engineers who manage reject rates in the pulley assembly process. This used to be a multi-step, manual process,