Category: Machine Learning

The global battery industry is undergoing a major transformation due to the fusion of advanced manufacturing technology and intelligent technology. As global battery demand continues to grow rapidly, exceeding 1 terawatt hour (TWh) in 2024, manufacturers are under pressure to improve performance, reduce costs, and extend battery life. In this context, machine learning (ML) is […]

The convergence of machine learning and neuroscience has sparked debate about whether AI can advance the field without traditional “understanding.” In an article in The Transmitter, experts consider how the two fields are essentially interchangeable. Neuroscience is increasingly focused on prediction, while machine learning is moving toward causal explanations, News.Az reports, citing The Transmitter. Large-scale […]

Path-IO is a machine learning platform that incorporates pathology data to predict how non-small cell lung cancer patients will respond to immunotherapy. Unlike molecular approaches, Path-IO uses pathological data already routinely collected from patients. Path-IO outperforms current standard of care biomarkers to guide the use of immunotherapy in non-small cell lung cancer. An artificial intelligence […]

For most of the history of science, prediction and understanding have been two sides of the same coin. Alan Hodgkin and Andrew Huxley captured action potentials using four variables and a small number of parameters. Their equation predicted the waveform, but explained It’s the quick intake of sodium and the slow excretion of potassium, and […]

OpenAI details its core principles for the development and deployment of artificial general intelligence (AGI) and highlights its commitment to ensuring this technology benefits all humanity. The company envisions that AI will greatly enhance human capabilities, leading to unprecedented societal prosperity and personal fulfillment. However, OpenAI acknowledges that this positive outcome is not guaranteed, stating, […]

ethics statement This study was conducted in accordance with the Declaration of Helsinki and was approved by the Institutional Review Board of Shandong University Qilu Hospital (KYLL-202407-041), Army Medical University Taiping Hospital. [(2024) 293]Tandu Hospital (K202411-26). As a retrospective study, the requirement for informed consent was waived. This study is registered at ClinicalTrials.gov (NCT06740773, registered […]

Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). Article  Google Scholar  Krishna, R. et al. Generalized biomolecular modeling and design with RoseTTAFold All-Atom. Science 384, 2528 (2024). Article  Google Scholar  Achiam, J. et al. GPT-4 Technical Report. Preprint at https://doi.org/10.48550/arXiv.2303.08774 (2023). Swanson, K., Wu, W., Bulaong, […]

A new study shows that a machine learning predictive model can identify which children with early-onset eczema are most likely to develop persistent asthma or allergic rhinitis by school age. Atopic dermatitis, a common form of eczema, has long been recognized as an early stage in the “atopic march,” a progression that can lead to […]

Agricultural grazing systems cover approximately a quarter of the Earth’s surface, and accurately estimating the amount of available forage is critical to livestock productivity, land health, and long-term sustainability. However, pasture measurements have traditionally relied on manual sampling and field-based assessments, which can be time-consuming, costly, and difficult to scale up. While satellites and other […]

In March 2026, a team using NVIDIA’s large-scale language models achieved a significant milestone in automated machine learning: generating more than 600,000 lines of code. This work led to 850 experiments and ultimately won first place in the Kaggle Playground competition, demonstrating the compression of iterative cycles that is essential to the success of modern […]