The study found that the amount of compute power at elite universities is much more than at mid-to-low tier institutions.
Science doesn’t discriminate, but probably technology does, at least in terms of accessibility. New research has found that the unequal distribution of compute power in academia is promoting inequality in the era of deep learning. The study conducted jointly by AI researchers from Virginia Tech and Western University found that this de-democratisation of AI has pushed people to leave academia and opt for high-paying industry jobs.
Researchers Claim Inconsistent Model Performance In Most ML Research. The process of benchmarking is considered to be one of the most crucial assets for the progress of AI and machine learning research.
Diversifying Recruitment methods in Tech Companies to reduce AI bias. Recruitment Trends and Bias
With the world business landscape changing at an unprecedented rate and moving towards digital business operations, the relevance of technology skillset has grown manifolds off late. Some of the most
AI bias doesn’t come from AI algorithms, it comes from people. What does that mean and what can we do
Remote Check-Ins, AI, Apps: Tech-Enabled Recovery Strategies for Hotels. Technology is ever-evolving and so are user expectations. Technology is also a key element hotels can use to stand out from the crowd, to better assist their guests, and increase revenue. Sales are a key area in which hotels are always on the lookout for innovative methods to increase their profits.