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…
Learning large-scale vision-language-action (VLA) models from multi-embodiment datasets remains challenging due to heterogeneous action spaces across end effectors. Although latent action models (LAMs) can learn embodiment-agnostic action representations from diverse video…
Urban transportation networks present complex optimization challenges spanning calibration of high-fidelity simulators and real-time operational control. This paper presents a shared latent-space framework that connects simulator calibration and reinforcement learning control…
In recent years, quantum game theory has gained significant attention as a framework for studying decision-making in multi-agent systems using quantum principles. However, computing equilibrium strategies is challenging because the dimension of the joint Hilbert space grows as…
A robot that fails at a task faces the first decision in corrective dialogue: act on its own diagnosis, consult another onboard sensor, or interrupt a person. Choosing well requires knowing how much the robot's sensors reveal about the cause and how reliable the robot's own…