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Microsoft fires two more employees for participating in Palestine protests on campus

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Microsoft has fired two more employees who participated in recent protests against the company’s contracts with the Israeli military and government. The two employees, Nisreen Jaradat and Julius Shan, were fired “in connection” with demonstrations that saw protesters set up encampments at Microsoft’s headquarters, according to Hossam Nasr, an organizer with the No Azure for […]

Microsoft launches its first in-house AI models

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Microsoft announced its first homegrown AI models on Thursday: MAI-Voice-1 AI and MAI-1-preview. The company says its new MAI-Voice-1 speech model can generate a minute’s worth of audio in under one second on just one GPU, while MAI-1-preview “offers a glimpse of future offerings inside Copilot.” Microsoft already uses MA1-Voice-1 to power a couple of […]

Grounding Medical AI in Expert‑Labeled Data: A Case Study on PadChest-GR- the First Multimodal, Bilingual, Sentence‑Level Dataset for Radiology Reporting

A Multimodal Radiology Breakthrough Introduction Recent advances in medical AI have underscored that breakthroughs hinge not solely on model sophistication, but fundamentally on the quality and richness of the underlying data. This case study spotlights a pioneering collaboration among Centaur.ai, Microsoft Research, and the University of Alicante, culminating in PadChest‑GR—the first multimodal, bilingual, sentence‑level dataset […] The post Grounding Medical AI in Expert‑Labeled Data: A Case Study on PadChest-GR- the First Multimodal, Bilingual, Sentence‑Level Dataset for Radiology Reporting appeared first on MarkTechPost.

How Amazon Finance built an AI assistant using Amazon Bedrock and Amazon Kendra to support analysts for data discovery and business insights

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The Amazon Finance technical team develops and manages comprehensive technology solutions that power financial decision-making and operational efficiency while standardizing across Amazon’s global operations. In this post, we explain how the team conceptualized and implemented a solution to these business challenges by harnessing the power of generative AI using Amazon Bedrock and intelligent search with Amazon Kendra.

Empowering air quality research with secure, ML-driven predictive analytics

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In this post, we provide a data imputation solution using Amazon SageMaker AI, AWS Lambda, and AWS Step Functions. This solution is designed for environmental analysts, public health officials, and business intelligence professionals who need reliable PM2.5 data for trend analysis, reporting, and decision-making. We sourced our sample training dataset from openAFRICA. Our solution predicts PM2.5 values using time-series forecasting.