OpenAI's GPT-5 is finally here, but a rocky rollout and mixed reviews have divided the community, creating a reality check for AI hype.
Everything you need to know about symbolic artificial intelligence, the branch of AI that dominated for five decades.
Reinforcement learning from human feedback (RLHF) is the technique that has made ChatGPT very impressive. But there is more to RLHF that large language models (LLM).
NLP and NLG, the two branches of AI that parse and generate human language, have removed many of the barriers between humans and computers.
To create better artificial intelligence hardware, researchers have been drawing inspiration from the brain. The result is neuromorphic chips, which have grown in popularity in the past years.
The quest for creating thinking machines has split artificial intelligence into two fields: Narrow AI, what we have, and general AI, what we wish to achieve
Neural architecture search NAS is a series of machine learning techniques that can help discover optimal neural networks for a given problem.
Adversarial examples are slight manipulations that cause machine learning algorithms to misclassify images while going unnoticed to the human eye.
Signal, Telegram, and other secure messaging apps and services used domain fronting to circumvent government censorship. But what is it really?
Huge salaries and bonuses at tech firms are luring AI scientists away from universities. How will this artificial intelligence brain drain affect the AI industry?