String theory could provide a theory of everything for our universe—but it entails 10500 (more than a centillion) possible solutions. AI models could help to find the right one.
Tiny little threads whizzing through spacetime and vibrating incessantly: this is roughly how you can imagine the universe, according to string theory. The various vibrations of the threads generate the elementary particles, such as electrons and quarks, and the forces acting among them.
See how the LinkedIn co-founder explores the limits of AI with a digital clone that looks, sounds, and even breathes like him.
Researchers take inspiration from Origami to create a lightweight, yet sturdy gripper for unmanned aerial vehicles (UAVs).
Open AI’s CEO says we won’t need new hardware or lots more training data to get there.
Beijing Humanoid Robot Innovation Center Company has developed the world’s first humanoid robot that can sprint at a steady speed of 3.73 mph.
RAG is being pitched as a solution of sorts to generative AI hallucinations. But there’s limits to what the technique can do.
Google Research and Google’s AI research lab, DeepMind, have detailed the impressive reach of Med-Gemini, a family of advanced AI models specialized in medicine. It’s a huge advancement in clinical diagnostics with massive real-world potential.
Alembic unveils groundbreaking AI system that eliminates hallucinations in enterprise data analysis, attracting Fortune 500 interest and analyst praise.
Summary: People often view AI-generated answers to ethical questions as superior to those from humans. In the study, participants rated responses from AI and humans without knowing the source, and overwhelmingly favored the AI’s responses in terms of virtuousness, intelligence, and trustworthiness.
This modified moral Turing test, inspired by ChatGPT and similar technologies, indicates that AI might convincingly pass a moral Turing test by exhibiting complex moral reasoning. The findings highlight the growing influence of AI in decision-making processes and the potential implications for societal trust in technology.
