A groundbreaking low-cost sensor developed at Cranfield University can detect lung cancer biomarkers from a simple blood test in just 40 minutes, revolutionizing early detection and personalized treatment.

An international research team has unveiled a hybrid device that innovatively combines molecular solar thermal energy storage with silicon photovoltaics, enhancing the efficiency and sustainability of solar energy systems.

NASA's OSIRIS-REx mission has uncovered mineral-rich brines in samples from asteroid Bennu, revealing complex organic interactions that may hint at life-like chemistry in the early solar system. This discovery not only offers a glimpse into the building blocks of life but also suggests similar prebiotic conditions could exist on other celestial bodies.

OpenAI has accused the Chinese AI company DeepSeek of copying its ChatGPT model through model distillation techniques, while also dealing with its own copyright issues for using potentially copyrighted online materials to train its AI models. This situation highlights the urgent need for clearer legal frameworks governing AI development and intellectual property.

The discovery of a backdoored package in the Go Module Mirror, exploited through typosquatting, highlights significant vulnerabilities in software supply chain security. This incident underscores the need for enhanced cybersecurity practices to protect developers and their code dependencies.

Researchers have developed groundbreaking nanomachines using tannic acid, a wine-derived compound, to enhance gene therapy. These nanomachines effectively address the challenges of neutralizing antibodies and liver toxicity associated with adeno-associated virus (AAV) vectors, potentially improving treatment efficacy and safety for genetic disorders.

Researchers from Stanford University and the University of Washington have developed a method to train AI models for less than $50, challenging the expensive training processes used by major tech firms. This approach utilizes a technique known as 'distillation' to condense the capabilities of complex AI models, creating a cost-effective and efficient training process.

Concerned about AI's rapid advancements, the International AI Safety Report urges global regulations to balance innovation with human safety. Led by Yoshua Bengio, experts highlight risks like cyber threats and autonomy, advocating for increased safety research amid political challenges.

The Vera C. Rubin Observatory is set to explore the universe's puzzling accelerated expansion, aiming to crack the mysteries of dark energy through its Legacy Survey of Space and Time (LSST). By capturing millions of Type Ia supernovae, the observatory will refine our understanding of cosmic distances and the universe's rate of expansion, potentially offering insights into the evolving nature of dark energy. This initiative represents a transformative moment in astronomy, challenging current methods with vast data handling and machine learning innovations.

Researchers at Carnegie Mellon University and NVIDIA have developed an AI model that enables robots to mimic athletic movements, such as famous athlete gestures. This groundbreaking project uses a two-stage framework called Aligning Simulation and Real Physics (ASAP) to train robots in gracefully replicating human actions, moving beyond simple locomotion toward fluid athleticism. The research points to broader applications in areas like entertainment and sports training, although further refinement is needed to achieve human-like finesse.