At Automate 2025, the company will display all four models from the range: the THE400, THE600, THE800 and THE1000. The compact THE400 is ideal for fast, precise operations in assembly and inspection processes, particularly within the electronics and automotive sectors.
Humans are better than current AI models at interpreting social interactions and understanding social dynamics in moving scenes. Researchers believe this is because AI neural networks were inspired by the infrastructure of the part of the brain that processes static images, which is different from the area of the brain that processes dynamic social scenes.
To build the experimental stations of the future, scientists at the National Synchrotron Light Source II (NSLS-II), a U.S. Department of Energy (DOE) Office of Science user facility at DOE's Brookhaven National Laboratory, are learning from some of the challenges that face them today. As light source technologies and capabilities continue to advance, researchers must navigate increasingly complex workflows and swiftly evolving experimental demands.
Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains error free.
Combining two different kinds of signals could help engineers build prosthetic limbs that better reproduce natural movements, according to a new study. A combination of electromyography and force myography is more accurate at predicting hand movements than either method by itself.
An international team has explored how in future aerial robots could process construction materials precisely in the air -- an approach with great potential for difficult-to-access locations or work at great heights. The flying robots are not intended to replace existing systems on the ground, but rather to complement them in a targeted manner for repairs or in disaster areas, for instance.
New research can transform how hospitals triage, risk-stratify, and counsel patients to save lives.
Helping music professionals explore the potential of generative AI
Helping music professionals explore the potential of generative AI
Helping music professionals explore the potential of generative AI
Helping music professionals explore the potential of generative AI
Helping music professionals explore the potential of generative AI
Helping music professionals explore the potential of generative AI
Helping music professionals explore the potential of generative AI
For a robot, the real world is a lot to take in. Making sense of every data point in a scene can take a huge amount of computational effort and time. Using that information to then decide how to best help a human is an even thornier exercise.