The simplest interfaces already exist, reading electronic signals from the brain and converting them into movements. The key advantage is that the mechanical arm can be controlled even if the person is completely paralyzed.
The US research corporation DARPA tested its interface on a completely paralyzed woman in 2012. Jan Scheuermann agreed to have electrodes implanted in her brain, which gave her the ability to control a robotic arm.
presented a similar system in 2022 - two robotic arms helped a partially paralyzed patient eat breakfast comfortably using cutlery and the power of thought.
Today, one of the most exciting business models in the field of artificial intelligence is “Copilot for X,” which involves training artificial intelligence on a file and generating hints based on it.
Glyphic is developing a tool for B2B salespeople that dominican republic number data should reduce the time spent on repetitive tasks. One task it plans to automate is creating scripts for complex customer discussions and requests to help sales teams navigate these conversations more effectively.
Tytn
Perhaps one of the most obvious opportunities in the creative AI space is speech generation, largely because natural language processing (NLP) models are among the most widely used. When building an AI application, companies must find a balance between accuracy, cost, and speed in their models.
While the ideas are still quite young, accuracy is the main thing for most companies, but when it reaches its peak, everything will depend on cost and speed. Tytn is looking forward to the next step, and in 2023 it plans to launch a tool that will reduce the time to launch an NLP application from several months to a few days
However, all of these are still isolated prototypes. The neural interface requires careful "customization" for each specific person and lengthy setup, which prevents the technology from gaining mass distribution.