AI tools are increasingly being used to track and monitor us both online and in-person, yet their effectiveness comes with big risks. Computer scientists at the Oxford Internet Institute, Imperial College London, and UCLouvain have developed a new mathematical model which could help people better understand the risks posed by AI and assist regulators in protecting peoples’ privacy.AI tools are increasingly being used to track and monitor us both online and in-person, yet their effectiveness comes with big risks. Computer scientists at the Oxford Internet Institute, Imperial College London, and UCLouvain have developed a new mathematical model which could help people better understand the risks posed by AI and assist regulators in protecting peoples’ privacy.[#item_full_content]

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back and forth between the memory and compute elements in a computer. The physical distance is small, but the process can occur billions of times per second. Inevitably, the energy and time required to move so much data adds up. In response, computer engineers are designing specialized hardware accelerators with innovative architectures to improve the performance of such applications.The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back and forth between the memory and compute elements in a computer. The physical distance is small, but the process can occur billions of times per second. Inevitably, the energy and time required to move so much data adds up. In response, computer engineers are designing specialized hardware accelerators with innovative architectures to improve the performance of such applications.[#item_full_content]