The Downstream Processing Market is entering a high-stakes expansion phase driven by surging biopharmaceutical production, ...

Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" ...

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

The Centers for Medicare & Medicaid Services has released an updated request for applications for the Long-term Enhanced ACO Design Model, or LEAD.

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

We develop a dynamic general equilibrium model with a rational asset bubble and an occasionally binding borrowing constraint that reproduces these empirical regularities. The bubble raises collateral ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Up here on the International Space Station I don’t get affected by the seasons but on Earth the seasons are always changing: Spring, Summer, Autumn and Winter. What causes the seasons to change? Let’s ...

Digital Discourse, Secondary Victimizatio ...