Computer Science

Revolutionizing Choices: Quantum-enhanced photonic reinforcement learning for optimal decision-making in dynamic environments.

MIT researchers develop AI system that predicts molecular properties and generates new molecules with minimal data, revolutionizing drug discovery.

MIT’s Metior framework enables quantitative evaluation of obfuscation schemes, enhancing chip design security against side-channel attacks.

Prof. Raghavan pioneers computational agroecology, using tech to optimize sustainable farming and transform traditional agricultural practices.

Unveiling AI’s Hidden Enemy: Solving the Problem of Digital ‘Dark Matter’ to enhance DNA analysis and uncover breakthroughs in health …

Unleashing the power of light, photonic computing utilizing cellular automata offers faster and more efficient computational capabilities.

MIT researchers develop a computational method inspired by kirigami, enabling transformation of 2D shapes, offering innovative solutions for engineering challenges.

New AI tool detects AI-generated academic text with 99% accuracy, protecting scientific integrity by distinguishing between AI and human writing.

MIT researchers develop a unique AI-based method, improving safety and stability in autonomous robots and aircraft.

Quitting smoking can be a difficult process, but new advances in machine learning may hold the key to success. Researchers…