The Latest in Humanoid Robots

Figure AI, a humanoid robotics company, deployed its Figure 01 model at BMW’s Spartanburg, South Carolina facility in January 2024. Recently, a video was released showcasing the robot’s role in vehicle assembly, with its neural networks translating visual data into actions.

The fully electric Figure 01 stands at 1.6 meters tall and 60-kilogram weight with a 20-kilogram payload capability for a five-hour shift. Over the following one to 2 years, the robots will undergo further training for specific tasks. Utilizing advanced processing from OpenAI, the robot can process visual information at 10 Hz and execute actions at 200 Hz, enabling precise manipulation and navigation.

Firms like Honda, Hyundai, and Mercedes are also exploring similar technologies to automate repetitive and potentially hazardous tasks. Read more.

Tencent AI Lab in Seattle has launched a brand new method for synthetic data generation using AI-driven personas, termed “personas,” to enhance the creation of diverse datasets essential for training AI systems. These personas, totaling over a billion within the Persona Hub, are generated through two most important techniques: “Text-to-Persona,” extracting personalities from web texts, and “Person-to-Person,” generating latest personas based on existing relationships. This dual approach allows for the generation of assorted datasets tailored to specific AI training requirements, much like how different prompts influence outputs in language models.

AI-generated personas play critical roles in generating datasets for training AI models in various domains like mathematical problem-solving, logical reasoning, and language processing. For instance, Tencent researchers utilized the Persona Hub to create 1.07 million math problems, achieving high accuracy with smaller model sizes in comparison with traditional methods.

This research suggests a possible shift in AI training data generation. In the long run, large language models may leverage this approach to generate diverse synthetic data independently, potentially reducing reliance on human-sourced data. Read more.

Suno, known for its AI-powered text-to-music technology, has introduced its iOS app, offering a virtual music studio accessible to thousands and thousands. Users can create original songs by entering text prompts, with Suno’s AI generating full compositions including vocals and instruments in minutes.

This launch is an enormous step for AI music creation because it goals to make production accessible to everyone. Nevertheless, it also raises questions on creativity and copyright. Despite legal challenges, including copyright lawsuits from major labels, Suno stays optimistic about its technology’s impact. Read more.