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"Humanity, created by God in all its grandeur, is today facing a pivotal choice: either to construct a new Tower of Babel or to build the city in which God and humanity dwell together. Each generation inherits the task of shaping its own era, of guiding history to become a place where the dignity of every person is safeguarded, justice is promoted and fraternity is made possible." Thus begins the first encyclical of the first pope from the United States, written during the country's 250th anniversary and addressing a topic - artificial intelligence - whose industry is centered in the United States. Yet Pope Leo's message is for everyone of good will throughout the world, to remind them of the principles of Catholic social teaching, the grandeur of being human, and the dignity of work as signposts in navigating the challenges and opportunities of an economy shaped by AI. This handsome paperback version from The Catholic University of America Press, the publishers of the pope's doctoral thesis, will spark reflection and action upon Pope Leo's words.

A major use of practical predictive analytics in medicine has been in the diagnosis of current diseases, particularly through medical imaging. Now there is sufficient improvement in AI, IoT and data analytics to deal with real time problems with an increased focus on early prediction using machine learning and deep learning algorithms. With the power of artificial intelligence alongside the internet of 'medical' things, these algorithms can input the characteristics/data of their patients and get predictions of future diagnoses, classifications, treatment and costs.

An engaging argument about what experimental music can tell us about being human.

In Experimenting the Human, G Douglas Barrett argues that experimental music speaks to the contemporary posthuman, a condition in which science and technology decenter human agency amid the uneven temporality of postwar global capitalism. Time moves forward for some during this period, while it seems to stand still or even move backward for others. Some say we’re already posthuman, while others endure the extended consequences of never having been considered fully human in the first place. Experimental music reflects on this state, Barrett contends, through its interdisciplinary involvements in postwar science, technology, and art movements.

Rather than pursuing the human's beyond, experimental music addresses the social and technological conditions that support such a pursuit. Barrett locates this tendency of experimentalism throughout its historical entanglements with cybernetics, and in his intimate analysis of Alvin Lucier’s neurofeedback music, Pamela Z’s BodySynth performances, Nam June Paik’s musical robotics, Pauline Oliveros’s experiments with radio astronomy, and work by Laetitia Sonami, Yasunao Tone, and Jerry Hunt. Through a unique meeting of music studies, media theory, and art history, Experimenting the Human provides fresh insights into what it means to be human.

 

The world is keen to leverage multi-faceted AI techniques and tools to deploy and deliver the next generation of business and IT applications. Resource-intensive gadgets, machines, instruments, appliances, and equipment spread across a variety of environments are empowered with AI competencies. Connected products are collectively or individually enabled to be intelligent in their operations, offering and output.

A major challenge for machine learning solutions is that their efficiency in real-world applications is constrained by the current lack of ability of the machine to explain its decisions and activities to human users. Biases based on race, gender, age or location have been a long-standing risk in training AI models. Furthermore, AI model performance can degrade because production data differs from training data.