Understanding a molecule that plays a key role in nitrogen fixing – a chemical process that enables life on Earth – has long ...

Several of the researchers I spoke with while reporting this article told me about memorization research that has been ...

From structure confirmation to methodology improvements, making complex natural products has driven innovation in organic ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

New research indicates that the structural organization of the human brain does not develop in a continuous, linear fashion ...

Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...

The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Would you watch a movie generated entirely by AI? Or read a novel written by an algorithm? Examples of AI-generated art are pretty astounding, and users are now able to create hyper-realistic videos ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Matching orders is the process by which a securities exchange pairs one or more ...

In silico antibody accessibility analysis indicates that ectodomain epitopes are transiently exposed, while MPER epitopes are virtually always occluded in the pre-fusion trimer.