Showing results for "computer science" in Biological Sciences

Energy-Efficient Computing: Designing Sustainable Systems for Performance, Power Optimization, and a Greener Digital Future delivers a comprehensive, forward-looking exploration of how modern computing systems can be engineered to balance performance demands with the urgent need for sustainability. As data centers grow, AI workloads scale, and edge devices proliferate, energy-efficient design is no longer optional—it is essential for the future of digital innovation.

What do computers, cells, and brains have in common? Computers are electronic devices designed by humans; cells are biological entities crafted by evolution; brains are the containers and creators of our minds. But all are, in one way or another, information-processing devices. The power of the human brain is, so far, unequaled by any existing machine or known living being. Our brains have even allowed us to develop computers that are almost as powerful as the human brain itself. Arlindo Oliveira describes how advances in science and technology could enable us to create digital minds.

In an era where robots are increasingly becoming part of our daily lives, we still struggle to define exactly what constitutes a robot.Do robots deserve to be defined by biological markers? How can we differentiate between a mechanical android versus one with synthetic skin? Are robots simply advanced machines that serve as tools for humanity? Will they eventually join the fabric of human society as our agents, advisors, assistants, maids, nurses, and partners? Will they be our servants, equals or superiors? Will we merge with them to become human-robot hybrids?