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HealthTech Deep Dive
Kazutaka Yoshinaga
43 episodes
5 days ago
Welcome to Health Tech Deep Dive, the podcast that delves into the forefront of healthcare technology and innovation, exploring transformative advancements from around the globe. Each episode uncovers how groundbreaking ideas and cutting-edge technologies are pushing the boundaries of what’s possible in the field of health tech, with a special focus on the interplay between global trends and localized innovation. The voices of this podcast are generated by AI.
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All content for HealthTech Deep Dive is the property of Kazutaka Yoshinaga and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Welcome to Health Tech Deep Dive, the podcast that delves into the forefront of healthcare technology and innovation, exploring transformative advancements from around the globe. Each episode uncovers how groundbreaking ideas and cutting-edge technologies are pushing the boundaries of what’s possible in the field of health tech, with a special focus on the interplay between global trends and localized innovation. The voices of this podcast are generated by AI.
Show more...
Business News
News
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How Far Will AI Evolve by 2030? The Future Map Revealed by the Epoch AI Report. Will “Domain-Specific AI” Be Absorbed by General-Purpose AI in Five Years? What Countermeasures Are Needed?
HealthTech Deep Dive
17 minutes 47 seconds
1 month ago
How Far Will AI Evolve by 2030? The Future Map Revealed by the Epoch AI Report. Will “Domain-Specific AI” Be Absorbed by General-Purpose AI in Five Years? What Countermeasures Are Needed?

This podcast episode provides an overview of the future of artificial intelligence, primarily focusing on insights from the Epoch AI report regarding its likely evolution by 2030. A major topic is the discussion of AI scaling laws, suggesting that the current approach of increasing model size and computational resources will likely continue for the next five years, despite concerns about data exhaustion by 2027. The text also anticipates that specialized AI will be largely absorbed by general-purpose AI within five years, suggesting that specialized systems must focus on deep task integration and secure data access to survive. Finally, the article briefly mentions the potential for AI to solve protein-ligand interaction problems in drug discovery by 2026 and notes the successful crowdfunding launch of a smart insole called ardi designed to visualize walking posture.

HealthTech Deep Dive
Welcome to Health Tech Deep Dive, the podcast that delves into the forefront of healthcare technology and innovation, exploring transformative advancements from around the globe. Each episode uncovers how groundbreaking ideas and cutting-edge technologies are pushing the boundaries of what’s possible in the field of health tech, with a special focus on the interplay between global trends and localized innovation. The voices of this podcast are generated by AI.