Patronus AI today announced "Generative Simulators," adaptive simulation environments that can continually create new tasks and scenarios, update the rules of the world in a simulation environment, ...

Biopharma may see a happier year ahead in 2026 than in recent years, according to analysts at William Blair. For one thing, the industry’s top stocks have recovered from lows that stretched into last ...

The lack of gains in productivity from AI could stall adoption and burst the economic bubble. Is there a rational explanation?

One of the key learning outcomes of university education in general, and liberal arts programmes,  in particular, is that ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

This article, presented in the backdrop of the debates on the state of political theory in India, argues that the terms of debate need to shift to include the question of method of doing political ...

How Recursion is leading a new era of AI-driven drug discovery AI drug discovery is not a new phenomenon – but it is evolving at an almost dizzying pace. Recursion is one of the earliest innovators in ...

Lots of studies have shown that getting a good night’s rest (seven to eight hours) is associated with better memory and other ...

Recursion Pharmaceuticals, Inc. remains a Sell as pipeline progress, notably REC-4881 in FAP, fails to surpass cheap alternatives like Celebrex. REC-4881's Phase 1/2 data show a median polyp reduction ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

Recursion Pharmaceuticals, Inc. operates as a clinical-stage biotechnology company, engages in the decoding biology and chemistry by integrating technological innovations across biology, chemistry, ...

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