The robot is able to detect and react to changes in the environment (e.g., moving fixtures) and action failures (e.g., failure to insert the cover, tripping, environment collisions [1:24]) using a combination of vision, force, and proprioceptive sensors.
Osmo… announced the launch of three new scent molecules developed through its proprietary artificial intelligence (AI) technology. These new ingredients are now available for purchase…
Science Corporation's retinal implant allowed some people who lost their central vision to read, play cards, and recognize faces.
...built on an expansive dataset of 1.2 million anonymized X-ray images from diverse regions across the full body...GE HealthCare is exploring how these models can offer real-world practical value to healthcare professionals seeking efficient and reliable tools for diagnostics
…no prior knowledge of physical laws or inductive biases were introduced into the model. Through several real-world experiments, we demonstrate that a single foundation model could effectively encode and predict physical behaviors, such as mechanical motion and thermodynamics, including phenomena not seen in training.
The collaboration will leverage the work that TRI has done around large behavior models (LBMs), which operate along similar lines as the more familiar large language models (LLMs) behind platforms like ChatGPT.
This AI-driven approach could improve diagnostic accuracy for conditions like traumatic brain injury (TBI) and multiple sclerosis (MS), though clinical validation is needed before wider use. The new model may ultimately expand access to high-quality imaging insights without needing specialized equipment
The RNA viruses were identified using metagenomics, in which scientists sample all the genomes present in the environment without having to culture individual viruses. The method shows the potential of AI to explore the ‘dark matter’ of the RNA virus universe.
Microscopy technique allows scientists to image how proteins and chromosomes interact in an intact cell.
Researchers have developed a graphene ‘tongue’ that uses AI to tell the subtle differences between drinks.
