Technology

At the heart of all artificial intelligence applications are mathematical models called neural networks. The biological structure of the human brain, which is made up of interconnected nodes, inspired these models. Neural networks can be mathematically trained by tuning their internal structure until they are capable of human-level tasks, such as recognising our faces, interpreting medical images for diagnosis, and even driving our cars, much like our brain learns by constantly rearranging the connections between neurons. Having integrated devices capable of swiftly and efficiently completing the computations necessary in neural networks has thus become a major academic and corporate research priority. The development of the memristor in 2008 was one of the key game changers in the area. The memory-resistor, or memristor, is a device that adjusts its resistance based on a memory of a previous current. Scientists noticed very away that the unique behaviour of memristors was remarkably comparable to that of neural synapses (among many other applications). As a result, the memristor has become a crucial component in neuromorphic designs. Prof. Philip…

The Sumerian language spawned the earliest form of writing around 5000 years ago in Mesopotamia (modern-day Iraq). However, time has taken its toll on these early writings, inscriptions, and instructions. Historians have long been concerned about the disappearance of manuscripts that could provide insight into ancient civilisation’s life and culture; Artificial Intelligence has now come to their rescue. The first deep neural network, named after Ithaca, a Greek island in Homer’s Odyssey, will aid in not only reconstructing the lost text of damaged inscriptions, but also identifying their original location…