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"Applying to some of the most common customer and food service jobs in the country now requires a long and bizarre personality quiz featuring blue humanoid aliens, which tells employers how potential hires rank in terms of "agreeableness" and "emotional stability." If you've applied to a job at FedEx, McDonald's, or Darden Restaurants (the company that operates multiple chains including Olive Garden) you might have already encountered this quiz, as all these companies and others are clients of Paradox.ai, the company which runs the test and helps them with other recruiting tasks."

"The research, conducted at Vision and AI Lab of the Department of Computational and Data Sciences, offers a novel approach to mitigating bias in popular image-generative models without the need for additional data or model retraining."

"The researchers found that the cost of the computational power required to train the models is doubling every nine months. This is a prodigious rate of growth-at this rate, the cost of the hardware and electricity needed to build cutting-edge AI systems alone would be in the billions by later this decade, without accounting for other costs such as employee compensation."

"Cancer diagnosis and management depend upon the extraction of complex information from microscopy images by pathologists, which requires time-consuming expert interpretation prone to human bias. Supervised deep learning approaches have proven powerful, but are inherently limited by the cost and quality of annotations used for training. Therefore, we present Histomorphological Phenotype Learning, a self-supervised methodology requiring no labels and operating via the automatic discovery of discriminatory features in image tiles. Tiles are grouped into morphologically similar clusters which constitute an atlas of histomorphological phenotypes (HP-Atlas), revealing trajectories from benign to malignant tissue via inflammatory and reactive phenotypes. These clusters have distinct features which can be identified using orthogonal methods, linking histologic, molecular and clinical phenotypes. Applied to lung cancer, we show that they align closely with patient survival, with histopathologically recognised tumor types and growth patterns, and with transcriptomic measures of immunophenotype. These properties are maintained in a multi-cancer study."

"huge public corporations launch products that are known to "hallucinate" "