Urgent.News

What's breaking now, across thousands of outlets.

Editions

AI

Astromech raises $20M to build a biological operating system that can forecast evolutionary change

An artificial intelligence startup called Astromech that’s developing models that can predict biological change has raised $20 million in funding, lifting its valuation to $3.8 billion. The round was led by biotechnology investor Bob Nelsen and saw the participation of Peak 6, NeoGenesis Capital, Builders VC and CAZ Investments, bringing the company’s total amount raised […] The post Astromech…

Astromech raises $20M to build a biological operating system that can forecast evolutionary change

Astromech, an artificial intelligence startup, has successfully secured $20 million in funding, elevating its valuation to $3.8 billion. This investment round was spearheaded by biotech investor Bob Nelsen and included participation from Peak 6, NeoGenesis Capital, Builders VC, and CAZ Investments, bringing Astromech's total funding raised to $60 million.

The company, co-founded by Ben Lamm and geneticist George Church, aims to create a predictive model of biology that can forecast evolutionary changes in living systems. Astromech's approach, similar to weather forecasting, combines genomic, evolutionary, biological, and functional data to anticipate future biological trajectories, identify vulnerabilities, and understand driving factors behind these changes.

By analyzing billions of years of evolutionary history alongside genomic data from living and extinct species, Astromech's algorithmic prediction solution seeks to address genetic bottlenecks, disease progression, drug resistance, and species' response to environmental changes. With a focus on longevity, Astromech is currently mapping 46 longevity-associated genes across a time-calibrated 'tree of life' to identify the genomic and regulatory mechanisms behind aging, with the potential to extend human lifespans.

Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at siliconangle.com →

More in AI

Your AI Coding Agent Just Finished. Now Ask It to Attack Its Own Work.

AI coding agents are remarkably good at getting from “here’s what I want” to “here’s a working implementation.” They are also remarkably good at being satisfied with what they just built.

  • AI coding agents excel at transforming vague requests into functional implementations.
  • Agents often fail to critically evaluate their own code.
  • Prompting agents to conduct adversarial reviews improves code robustness.

Pet peeves with GitHub Copilot Instructions and my solution

This blog post was originally published on my own web site . Photo by Łukasz Łada on Unsplash One of my favorite features of Claude Code is .claude/rules/ , docs here…

  • Claude Code allows custom markdown files with developer-specific instructions
  • GitHub Copilot uses a different format with applyTo property for custom instructions
  • @path/to/file syntax in Claude Code enables referencing other files, missing in Copilot

More from Friday 21 August →