LoRAX (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency.

Ben Gao '25 asks us to reconsider how we can use AI effectively, arguing that human-centered design needs to be prioritized.

A federal court ruling in the B. Riley Financial case shows how executives’ personal business relationships can trigger ...

Led Buyouts. As private equity firms continue to drive a significant share of merger activity, take-private transactions have ...

Discover how CoreWeave’s bare-metal GPU clusters and new AI workloads could drive massive growth. Find out more about the ...

The numbers tell a striking story. Forty-three percent of companies now use AI for hiring—nearly double last year's 26%. Yet ...

The Unacademy episode is a sectoral stress test highlighting the need for more specific ESOP frameworks. Aimtron operates across high-complexity sectors such as aerospace and defence, electric ...

Abstract: A novel framework has recently been proposed for designing the molecular structure of chemical compounds with a desired chemical property using both artificial neural networks and mixed ...

Abstract: Federated learning (FL) has emerged as an ideal privacy-preserving learning technique which can train a global model in a collaborative way while preserving the private data in the local.

Numbers in spreadsheets often have units: metres, grams, dollars, etc. Spreadsheet cells typically cannot carry unit information, and even where they can, users may not be motivated to provide it.