MIT researchers, collaborating with others, have developed improved methods for generating AI code across various programming languages. This advancement enhances the efficiency and reliability of Large Language Models (LLMs), targeting applications in molecular biology, database queries, and
Advancements in AI, particularly in large language models (LLMs), have challenged the traditional belief that creativity is exclusive to humans. These AI systems, like ChatGPT, have demonstrated capabilities in producing poetry, entrepreneurial ideas, and visual art. This raises intriguing
The convergence of agentic AI and blockchain technology in Web3 is poised to reshape cryptocurrency trading and decentralized applications (dApps). This innovative synergy promises enhanced efficiency, security, and accessibility in the realm of digital transactions. Agentic AI, a form of
Laurent Giraid is a renowned technologist specializing in Artificial Intelligence, with deep expertise in machine learning, natural language processing, and the ethical implications of AI. In this interview, Laurent sheds light on the complexities and ethical dilemmas surrounding the
In recent years, the integration of AI agents into vaccine research has revolutionized the development process, bringing unprecedented speed and efficiency to clinical trials. These autonomous systems, equipped with advanced reasoning, acting, and learning capabilities, have transitioned from
The necessity of language in both human and artificial thought processes is a fundamental question that has intrigued scientists and researchers alike. While human cognition often relies heavily on language, some neuroscientists argue that linguistic structures can sometimes hamper reasoning