Biologists are closing in on a puzzle that seems to turn classic evolutionary logic inside out, yet may be so common that it ...

Consciousness may emerge not from code, but from the way living brains physically compute.

Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In ...

Expensive optimization problem (EOP) refers to the problem that requires expensive or even unaffordable costs to evaluate candidate solutions, which widely exist in many significant real-world ...

Australian researchers are turning to nature for the next computing revolution, harnessing living cells and biological systems as potential replacements for traditional silicon chips. A new paper from ...

Ten years ago, I would have turned my nose up at the idea that we already understood how to get machines to think. In the 2010s, my team at Google Research was working on a wide variety of ...

TL;DR: Research in both biocomputing and neuromorphic computing may hold the key to better computer energy efficiency. By drawing inspiration from nature's own efficient systems, such as the human ...

Bill Bateman does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

This page outlines the 2022-23 degree requirements for Computational Biology. This page is not an official list of degree requirements. Adjustments may be required due to curriculum changes. Current ...

Harvard Faculty of Arts and Sciences has officially voted to change the name of the Human Evolutionary Biology concentration during a meeting on April 1. Effective as of July 1, 2025 — when the ...

Introduction : how to write history of biology -- The place of biology in the sciences and its conceptual structure -- The changing intellectual milieu of biology Diversity of life. Macrotaxonomy, the ...