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Google’s new report assess AI for social good

On September 12, Google released a report titled “Accelerating social good with artificial intelligence.” The report sheds light on the range of organizations using AI to address big problems and identifies several trends around the opportunities and challenges related to using AI for social good.  The report was based on the analysis of more than 2,600…

Seeking Speed without Loss in Large Language Models? Meet EAGLE: A Machine Learning Framework Setting New Standards for Lossless Acceleration

For LLMs, auto-regressive decoding is now considered the gold standard. Because LLMs generate output tokens individually, the procedure is time-consuming and expensive. Methods based on speculative sampling provide an answer to this problem. In the first, called the “draft” phase, LLMs are hypothesized at little cost; in the second, called the “verification” phase, all of…

This OpenAI Research Introduces DALL-E 3: Revolutionizing Text-to-Image Models with Enhanced Prompt Following Capabilities

In artificial intelligence, the pursuit of improving text-to-image generation models has gained significant traction. DALL-E 3, a notable contender in this domain, has recently drawn attention for its remarkable ability to create coherent images based on textual descriptions. Despite its achievements, the system grapples with challenges, particularly in spatial awareness, text rendering, and maintaining specificity…

National Institute for Health and Care Research develops a deep learning algorithm to ‘score’ the organ quality for transplantation

The National Institute for Health and Care Research is contributing around 1 million euros to develop a new technology called Organ Quality Assessment (OrQA). The new method is expected to revolutionise the current organ transplant system that could help millions of lives. It is reported that this method works in the same way as facial…