We develop AI-mediated and algorithmic approaches to study the informational and computational principles that may drive life. By combining computability, algorithmic information, and dynamical ...

To harness biological systems (plants and microbes) for next-generation energy production and advanced materials, researchers ...

When a deadly listeria outbreak swept across Canada in 2024, the initial headlines focused on recalls and rising case counts.

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to compare complex medical images quickly and accurately, helping detect subtle ...

Ahead of The TRADE’s upcoming results of its Algorithmic Trading Survey: Hedge Funds 2026, Natasha Cocksedge reflects on the findings from 2025, analysing how algorithmic trading has cemented its spot ...

Communication complexity examines the minimum volume of information exchange required among distributed agents to compute a function of their combined inputs. Established nearly four decades ago, this ...

Abstract: To improve the robustness and efficiency of consumer mobile robot navigation in complex indoor environments, this paper presents a deep reinforcement learning method named SAC-GHULSTM. The ...

March 04, 2026 - Dynamic pricing sits at the focal point of regulatory crosshairs. Also called algorithmic or "surveillance pricing," this type of pricing uses customers' personal data to set ...

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...

Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...