AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...
Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...
A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.
Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.
Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal data. However, the decentralized nature of FL ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
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