Nvidia´s Push for a 100-Fold Increase in AI Computing Power

Nvidia´s CEO advocates for a significant expansion in Artificial Intelligence computing capacity.

Nvidia´s CEO, Jensen Huang, underscored the urgent necessity for a dramatic increase in Artificial Intelligence computing power during a recent announcement. He emphasized that the demand for AI technologies is soaring, necessitating a 100-fold boost in computing abilities to meet global needs. This surge in capacity is crucial not only for advancing AI applications but also for maintaining competitive edge in the rapidly evolving tech landscape.

In his address, Huang introduced the Rubin AI chips, which are designed to significantly enhance processing capabilities. These state-of-the-art chips reflect Nvidia’s commitment to pushing the boundaries of AI technology and to supporting industries in leveraging AI for innovative solutions. The announcement has received considerable attention, suggesting optimism among stakeholders concerning Nvidia´s strategic direction.

Further strengthening Nvidia´s position, the company has forged new corporate partnerships aimed at expanding its influence in the tech industry. Such collaborations are expected to foster innovation and provide robust frameworks for integrating AI solutions across various sectors, thereby contributing to the overall ecosystem´s growth and stability.

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Artificial intelligence detects suicide risk missed by standard assessments

Researchers at Touro University report that an Artificial intelligence tool using large language models detected signals of perceived suicide risk that standard multiple-choice assessments missed. The study applied Claude 3.5 Sonnet to audio interview responses and compared model outputs with participants’ self-rated likelihood of attempting suicide.

Artificial Intelligence breakthrough: eye scans spot chronic disease early

Monash-led researchers will use Artificial Intelligence and retinal imaging to build a foundational model that detects systemic diseases such as cardiovascular and chronic kidney disease from simple eye scans. The project brings together the Digital Health Cooperative Research Centre and Optain Health and will analyse de-identified, linked longitudinal data from hundreds of thousands of participants.

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