Filippo Menolascina uses Co-Scientist to identify new liver disease treatments and explain why existing drugs only help certain patients.
Researchers at a university are using an AI system called Co-Scientist to help understand a common liver disease involving inflammation and metabolism problems. The disease is difficult to treat because it involves multiple interconnected biological processes, which means drugs targeting single mechanisms are ineffective, pushing researchers to explore combination therapies. Co-Scientist analyzed scientific literature to identify overlooked connections and suggest candidate drug combinations worth testing. In one case, the system generated a hypothesis about a specific molecular mechanism linking inflammation and metabolism in the disease, which was later experimentally verified and could lead to new targeted treatments.

The all-cash deal gives MoEngage access to technology that assigns AI agents to individual customers.

A new update for Google Home could make it less likely your smart home cameras mistake you for someone else, just because you're facing away from the camera. Starting June 23rd, Google's expanding its facial recognition feature so that people you've tagged in your Familiar Faces library can continue to be identified when their faces aren't clearly visible, using "additional non-biometric signals (body size, clothing color, etc.)." The Familiar Faces library will also begin aut

In this tutorial, we build a speech recognition and translation workflow using NVIDIA Canary-1B-v2. We begin by setting up the required audio, NeMo, NumPy, and SciPy dependencies, then load the Canary model on a GPU-enabled runtime for efficient inference. From there, we prepare audio into a clean 16 kHz mono format, perform English ASR, translate speech into multiple languages, generate word and segment timestamps, export translated subtitles as an SRT file, test long-form transcription, run b
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