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Data-Free Knowledge Distillation (DFKD) methods transfer knowledge from teacher to student models without real data, using synthetic data generation. Non-adversarial approaches employ heuristics to create data resembling the original, while adversarial methods utilize adversarial learning to explore distribution spaces. One-Shot Federated Learning (FL) addresses communication and security challenges in standard FL setups, enabling collaborative model… Read more

Collaborative perception has become a critical area of research in autonomous driving and robotics. In these fields, agents—such as vehicles or robots—must work together to understand their environment more accurately and efficiently. By sharing sensory data among multiple agents, the accuracy and depth of environmental perception are enhanced, leading to safer and more reliable systems.… Read more

In an Intelligence Committee hearing with representatives from Google, Apple, and Meta on Wednesday, senators stressed that foreign influence is far from a solved problem. Read more

Drip Capital overcame AI challenges like hallucinations, improved document processing efficiency and applied AI to risk assessment.Read More Read more

Already, progress in agentic AI is “spectacular and surprising,” moving faster and faster and getting into the “flywheel zone,” Huang says.Read More Read more

AI-generated falsehoods and deepfakes seem to have had no effect on election results in the UK, France, and the European Parliament this year, according to new research.  Since the beginning of the generative-AI boom, there has been widespread fear that AI tools could boost bad actors’ ability to spread fake content with the potential to… Read more

The studio behind the John Wick, Hunger Games, and Twilight franchises just made a deal with an artificial intelligence startup to use its back catalog to build a custom AI model. It could be a tipping point. Read more

Microsoft’s first Snapdragon X-powered device has a slew of cool features. As a Windows expert, here are my three takeaways. Read more

The iPhone 16 promises AI and a shiny new camera button, among other features, but is it worth the upgrade? Here’s what could convince me to upgrade from my iPhone 14 Pro Max. Read more

Feature engineering helps make models work better. It involves selecting and modifying data to improve predictions. This article explains feature engineering and how to use it to get better results. What is Feature Engineering? Raw data is often messy and not ready for predictions. Features are important details in your data. They help the model… Read more