Deep learning can both strengthen the building blocks of future networks and uncover hidden risks in widely used applications ...

Raw invoice images often suffer from issues such as uneven lighting, skewing, creases, and background interference. The system first employs image filtering, binarization, perspective transformation ...

At the advanced level, deep learning and reinforcement learning are applied for real-time personalization, dynamic pricing, and multimodal coordination. These models enable transport systems to adapt ...

(1) Integration with Artificial Intelligence and Machine Learning ...

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in “Nature Communications,” the tool, called ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

The intersection of artificial intelligence governance and practical machine learning implementation represents one of the most critical challenges facing modern enterprises. This reality became ...

The International Atomic Energy Agency (IAEA) has announced that Blue Wave AI Labs, Constellation, and Southern Company subsidiary Southern Nuclear won the prestigious 2025 Global ISOP Innovation ...

Biochar, a carbon-rich material made from organic waste, is gaining attention for its ability to improve soils, clean water, and capture carbon. A new review in Biochar X highlights how machine ...

Meet the deeptech startups that are converging AI and robotics to tackle real-world problems across industries, from ...

Zapier reports that AI automation enhances traditional automation by combining intelligent technologies, improving efficiency ...

Other than the growth mindset, I argue that five other beliefs are particularly important to promote in classrooms to help students become better learners and more prepared for the modern world. Some ...