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FDA to slash drug trial times with AI

Image via interestingengineering.com

Sunday, May 3, 2026

FDA to slash drug trial times with AI

The FDA plans to use real-time AI monitoring to slash drug trial times, while Flourish launched with a $2.5B valuation under Meta's former Neural Band lead. Separately, autonomous underwater robots are now tracking sperm whale conversations in real time.

Top Stories

1
FDA plans to speed up drug trials with real-time data, AI

Bloomberg

The FDA plans to cut drug development times by months or years through real-time monitoring of clinical trials using AI, tracking efficacy and safety signals without full patient data collection.

healthcare-airegulationfdaclinical-trials
2
Flourish targets $2.5B valuation

Substack

Former Meta executive Thomas Reardon is launching energy-efficient AI startup Flourish, seeking a $2.5 billion valuation as the industry prioritizes reducing computational demands and operational costs of AI systems.

aistartupfundingenergy-efficiency
3
The Last Human-Written Paper: Agent-Native Research Artifacts

Substack

A new research artifact format replaces traditional papers with machine-executable packages designed for AI agents to better understand, reproduce, and extend scientific work, showing substantial accuracy and reproducibility improvements.

ai-agentsresearch-infrastructurereproducibilityllm
4
An underwater robot is now tracking sperm whale conversations in real time

Reuters

AI-powered underwater robots are now continuously tracking sperm whale communications, enabling scientists to study whale behavior and learning patterns over months rather than brief encounters, revealing how marine mammals respond to human ocean activity.

roboticsai-monitoringbioacousticsautonomous-systems
5
Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling

Substack

LenVM enables token-level length modeling in LLMs through value estimation, providing annotation-free supervision for exact length control and efficiency steering while improving both generation quality and inference cost management.

llmvlminference-optimizationvalue-estimation

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