The Series A round, which included participation from North Island Ventures and existing investors, brings New York-based Mural's total funding to $28 million.
OpenAI is acquiring startup Orchestra Bio and plans to merge it with its life sciences AI platform Rosalind. The goal is to build AI agents that help pharma teams coordinate drug development, from tracking trials to spotting problems. Developing a new drug in the US takes ten to 15 years on average. OpenAI already works with Novo Nordisk and Moderna on AI-driven pharma research.
Enterprises are deploying AI agents on top of incomplete and siloed workforce data that sit scattered across HR and finance systems and a decade of point solutions, each with its own definitions and blind spots.
Some of the most interesting moments in music production come when an arrangement won’t work. The groove is there and the melody is promising, but something
Google is integrating AI-related changes into its software engineer hiring process, according to internal documents. These updates include evaluating candidates for AI fluency and allowing AI use in coding interviews. Interviewers can also use Gemini for feedback.
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
In high-dimensional tabular learning, feature screening provides a lightweight, model-agnostic way to remove irrelevant features before model fitting. However, scoring raw values directly can miss nonlinear or distributional structure. We introduce PACE (Plug-and-Play…
Synthetic essays can help reduce dependence on human-written data in Automated Essay Scoring (AES). However, they often lack realistic errors, limiting their ability to represent authentic human writing, particularly when the target texts are intended to resemble those produced…
Coding agents operate on real repository coding tasks, and persistent memory systems promise to reuse experience across tasks. Yet existing evaluations do not show whether those systems improve executable repository work. Repository benchmarks test code changes but do not…
Generative adversarial networks (GANs) are increasingly used to augment medical imaging datasets, but synthetic images do not necessarily provide downstream classification benefits. This study investigates whether class-specific Deep Convolutional Generative Adversarial Network…