Developing a machine that processes information as efficiently as the human brain has been a long-standing research goal towards true artificial intelligence. An interdisciplinary research team at Heidelberg University and the University of Bern (Switzerland) led by Dr Mihai Petrovici is tackling this problem with the help of biologically-inspired artificial neural networks. Spiking neural networks, which mimic the structure and function of a natural nervous system, represent promising candidates because they are powerful, fast, and energy-efficient. One key challenge is how to train such complex systems. The German-Swiss research team has now developed and successfully implemented an algorithm that achieves such …
Related posts:
"The Power of AI in Business and Entrepreneurship: Unlocking Opportunities and Driving Success"
"The Power of AI: Revolutionizing Business and Empowering Entrepreneurs"
Seeking a way of preventing audio models for AI machine learning from being fooled
System recognizes hand gestures to expand computer input on a keyboard
