Scientists have developed a new polarization multiplexer that enables more efficient use of the terahertz spectrum, doubling the capacity of data transmission and laying the foundation for future 6G networks and advanced communication systems.
A recent mit study reveals serious shortcomings in the transparency of data used to train large language models. The new tool helps researchers better understand data sources, thereby reducing the risk of bias and improving model efficiency.
Researchers at mit have introduced a new algorithm for quantum computers that combines speed and memory efficiency. This progress could significantly accelerate the application of quantum computing in breaking complex encrypted systems, which could have far-reaching implications for the future of cryptography.
Autonomous small robots inspired by biological navigation strategies of insects are revolutionizing different industries, enabling safe and efficient monitoring of supplies, infrastructure and emergency assistance.
New research from Hull University shows how deepfakes can be recognized by analyzing reflections in the eyes, using astronomy methods. This innovative technique provides new hope in the fight against false images.
Mit researchers have developed a framework for assessing large language models (LLMs) based on people's beliefs about their abilities, revealing the importance of aligning the model with users' expectations for better application in real-world situations.