Using a prototype chip that looks like a brain, IBM, one of the world’s most respected technology giants, says it may be possible to increase the efficiency of artificial intelligence (AI) by enhancing energy efficiency. The advancement addresses the challenges related to the emissions emission associated with artificial intelligence systems that require expansive buildings to store electricity.
In the realm of artificial intelligence (AI), IBM claims that its prototype chip, which makes AI more efficient, is likely to revolutionize things. There are several components found in IBM’s chip, including ones that are designed in a similar way to the connections found in the brain, which results in a more energy-efficient chip and a shorter battery life for Artificial Intelligence systems.
According to Thanos Vasilopoulos, who is a scientist stationed at IBM’s research lab in Zurich, Switzerland, the brain’s ability to carry out intense tasks at a low energy consumption is partly responsible for the exceptional energy efficiency of computer systems.
According to Apple, this technological breakthrough could lead to the development of more efficient smartphone AI chips. By doing so, large and complex workloads can be executed in environments that are low-power or battery-constrained, such as cars, mobile phones, and video cameras, using AI technology.
This article has been indexed from CySecurity News – Latest Information Security and Hacking Incidents
Read the original article: