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The Download: shaking up neural networks, and the rise of weight-loss drugs

Dec 20, 2024 - technologyreview.com
The article provides a snapshot of current technological and health-related developments. It highlights the potential of next-generation neural networks embedded in hardware, which could enhance image identification speed and energy efficiency compared to traditional AI systems. This innovation was presented at a recent machine learning conference, suggesting a future where such networks might be integrated into everyday devices like smartphones. Additionally, the article discusses the rising prescription rates of GLP-1 agonists, known as "wonder drugs," in the US, noting demographic trends and the fact that many prescriptions remain unfilled.

The piece also touches on various other topics, including the success of childhood vaccination programs, Elon Musk's influence on US politics, Amazon worker strikes, concerns over Nvidia's international sales, and legal actions against Snapchat over teen drug overdoses. It further explores the impact of Ukraine's drone footage on AI training, challenges in India's tech hub Bengaluru, the future of AI gadgets, and the consequences of online shopping returns. The article concludes with a discussion on the environmental impact of LED lighting and its implications for light pollution.

Key takeaways:

  • Neural networks programmed directly into computer chip hardware can identify images faster and use less energy than traditional software-based neural networks.
  • GLP-1 agonists, known as "wonder drugs," now make up 5% of prescriptions in the US, with women being twice as likely as men to receive them.
  • Childhood vaccination programs have averted an estimated 154 million deaths over the past 50 years, though concerns about vaccines persist.
  • Elon Musk has been described as a "shadow president" due to his influence on US politics, despite not holding an official government role.
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