Neuro-symbolic AI is a unique form of artificial intelligence that combines the strengths of neural and symbolic AI architectures. This powerful AI model can model cognition, learning, and reason, ...

Large language models (LLMs) such as GPT-4 can interpret free text, but unreliable answers, opaque reasoning, and privacy risks limit their use in healthcare. In contrast, rule-based artificial ...

An alternative to the neural network architectures at the heart of AI models like OpenAI’s o1 is having a moment. Called symbolic AI, it uses rules pertaining to particular tasks, like rewriting lines ...

The Internet of Things (IoT) is rapidly evolving into a vast ecosystem of interconnected devices that serve diverse domains, including smart homes, healthcare, and gaming. However, the increasing ...

Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members ...

As artificial intelligence (AI) powers ahead, the question is no longer if we will integrate AI into core Web3 protocols and applications, but how. Behind the scenes, the rise of NeuroSymbolic AI ...

As artificial intelligence (AI) continues to evolve, the integration of diverse AI technologies is reshaping industry standards for automation. AI in automation is impacting every sector, including ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

In late November 2022, the world's first generative AI chatbot was released to the public, marketed as a revolutionary ...

AGI could match human reasoning, altering data analysis capacities vastly. Though still theoretical, AGI's development might span decades or a century. Investors should monitor AGI's potential risks ...