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
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…
Cilium 1.20 has been released with broader Kubernetes Gateway API support, an extensible eBPF datapath and further work on sidecarless mutual TLS. The release also makes the newer netkit network device easier to introduce across Kubernetes fleets that run different Linux kernel…
We introduce NemotronLabs VoiceChat, an open full-duplex speech-to-speech model with native tool-calling capabilities. NemotronLabs VoiceChat combines a streaming speech encoder and decoder-only language model with parallel specialized output streams for agent text and…
Electrocardiograms (ECGs) carry subject-specific patterns enabling reliable individual discrimination, forming the basis of ECG biometrics. Beyond authentication, this paradigm holds significant potential to secure sensitive cardiac data and to serve as a pretext task in…
Masked diffusions are popular generative models for discrete distributions. Unlike standard autoregressive sampling, they reveal several coordinates in parallel, approximating each block's joint conditional law by a product of one-coordinate conditionals. The resulting…
Learning to defer asks a predictive system when to act autonomously and when to defer to a human expert. Population-adaptive deferral extends this problem to unseen experts using a small context set of expert behavior. Neural context encoders such as L2D-Pop can be…