According to @AIatMeta, Carnegie Mellon researchers are using Meta's SAM 3D to capture and analyze human movement in clinical settings to enable personalized, data-driven rehabilitation insights, source: @AIatMeta. The post confirms real-world deployment of computer-vision-based 3D analysis within healthcare workflows but discloses no release timeline, pricing, or commercial availability details, source: @AIatMeta. The source does not reference blockchain, cryptocurrencies, or token integrations, indicating no direct crypto-market linkage in this announcement, source: @AIatMeta.

According to Anthropic, the AI company has announced a $2 million investment in Carnegie Mellon University programs to advance AI-driven energy solutions and cybersecurity education. This strategic funding, revealed at the Pennsylvania Energy and Innovation Summit, highlights the increasing importance of AI in critical infrastructure. For traders, this development is noteworthy as progress in AI and cybersecurity can directly influence the value and security of AI-related crypto tokens and blockchain platforms. The focus on energy solutions could also positively impact the narrative surrounding the energy efficiency of digital assets.

According to DeepLearning.AI, researchers at Carnegie Mellon University have developed a tree search method for language model agents, which significantly enhances their task completion capabilities on the web. This method allows agents to evaluate multiple action paths and avoid repeating past mistakes, potentially optimizing decision-making processes in algorithmic trading by improving data interaction and information processing efficiency (source: DeepLearning.AI).