Co-Scientist unites Boston Children’s Hospital and MIT’s labs to explore new RNA-based treatments for ALS.
Two researchers with different expertise in biology collaborated on ALS research using an AI tool called Co-Scientist to bridge their knowledge gaps. One researcher studies living nerve and muscle tissues to model diseases affecting movement, while the other maps RNA on cell surfaces to understand cellular communication. Co-Scientist helped the first researcher quickly understand complex ALS literature and generate testable hypotheses, then identified research directions involving cell surface interactions that required the second researcher's molecular expertise. The pair used Co-Scientist iteratively to combine their distinct toolkits and are now searching for novel RNA-based mechanisms that could be used to develop new ALS therapies.

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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