MIT's EV Design Database, HIV Drug Named Breakthrough of 2024, and DeepSeek's New Open Source AI Model

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In this episode of Discover Daily, we explore groundbreaking technological and scientific developments shaping our future. MIT's revolutionary DrivAerNet++ database takes center stage, featuring over 8,000 AI-generated electric vehicle designs with comprehensive aerodynamic data, promising to transform automotive development processes and accelerate EV innovation.
The show delves into a major medical breakthrough as lenacapavir, Science magazine's 2024 Breakthrough of the Year, emerges as a game-changing HIV prevention drug. This remarkable innovation from Gilead Sciences offers six months of protection with a single injection, demonstrating 96-100% efficacy in clinical trials and holding promise for global HIV prevention efforts.
The episode's main focus spotlights DeepSeek-V3, a cutting-edge open-source AI model boasting 671 billion parameters. Using innovative Mixture-of-Experts architecture, this powerful language model activates only 37 billion parameters per token, achieving impressive efficiency while maintaining high performance across various text-based tasks. The discussion explores its capabilities, limitations, and potential impact on the AI landscape.
From Perplexity's Discover Feed:
https://www.perplexity.ai/page/mit-s-ev-design-database-HW3LeM4gQNO2pa1oYp6AMw
https://www.perplexity.ai/page/hiv-drug-named-breakthrough-of-kzPk2YAoQPKS.CdzOsNdXA
https://www.perplexity.ai/page/deepseek-s-new-open-source-ai-YwAwjp_IQKiAJ2l1qFhN9g

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