Showing results for "High" in Computer Science

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

Microfluidics is the field of science that studies fluids constrained to spaces that are smaller than one millimeter wide, and by extension, the engineering field which builds devices that exploit the unique properties of fluids at these scales. Author Albert Folch explores this micro science which has inspired engineers to build devices such as engines, spray cans, ballpoint pens, inkjet and 3D printers, pregnancy and Covid tests, glucometers, asthma nebulizers, kidney dialysis machines, and DNA analyzers.

Chat-GPT, humanoid robotics, and self-driving cars are just a few of the things that are changing our everyday lives. The rapid advancement of AI is eroding one by one all the cornerstones considered unique of human nature: language, consciousness, creativity, and moral responsibility. The book argues that the revolution we are facing is driven by Alan Turing's "vision". This vision rests on the idea that intelligence is not an intrinsic property of human beings, but is a way in which matter is functionally organized and an attribute we are naturally inclined to ascribe to certain entities.

A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind" - human and machine capabilities working together - has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results?