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Chinese Nobel prize winning physicist dies aged 103
Scientists just debunked the calcium and dementia myth
Scientists finally read the hidden DNA code that shapes disease
A Strategic Response to the F5 BIG-IP Nation-State Breach

Chinese Nobel prize winning physicist dies aged 103

Chen Ning Yang, Nobel laureate and one of the world’s most influential physicists, has died at the age of 103, according to Chinese state media. An obituary released by CCTV cited illness as the cause of death. Yang and fellow theoretical physicist, Lee Tsung-Dao, were jointly awarded the Nobel Prize in Physics in 1957 for…

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Scientists just debunked the calcium and dementia myth

New findings from Edith Cowan University (ECU), Curtin University, and the University of Western Australia show no evidence that taking calcium alone increases the risk of developing dementia over time. The results help ease earlier fears that calcium supplements might have harmful effects on the brain health of older women. The investigation drew on data…

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A Strategic Response to the F5 BIG-IP Nation-State Breach

In mid-October 2025, the cybersecurity landscape was dealt a severe blow. F5 disclosed a long-term, sophisticated breach by a nation-state threat actor. This was not a typical vulnerability disclosure. The attackers exfiltrated a strategic critical pair of assets: portions of BIG-IP source code, and internal details of undisclosed (unpatched) vulnerabilities. The U.S. Cybersecurity and Infrastructure…

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Splash Music transforms music generation using AWS Trainium and Amazon SageMaker HyperPod

Generative AI is rapidly reshaping the music industry, empowering creators—regardless of skill—to create studio-quality tracks with foundation models (FMs) that personalize compositions in real time. As demand for unique, instantly generated content grows and creators seek smarter, faster tools, Splash Music collaborated with AWS to develop and scale music generation FMs, making professional music creation…

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Beyond vibes: How to properly select the right LLM for the right task

Choosing the right large language model (LLM) for your use case is becoming both increasingly challenging and essential. Many teams rely on one-time (ad hoc) evaluations based on limited samples from trending models, essentially judging quality on ā€œvibesā€ alone. This approach involves experimenting with a model’s responses and forming subjective opinions about its performance. However,…

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