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- Interesting Engineering
Researchers from chemistry, biology, and medicine are increasingly turning to AI models to develop new hypotheses. However, it is often unclear on which basis the algorithms come to their conclusions and to what extent they can be generalized. A publicationnow warns of misunderstandings in handling artificial intelligence. At the same time, it highlights the conditions under which researchers can most likely have confidence in the models.
Scientists have developed an AI-powered fluid simulation model that significantly reduces computation time while maintaining accuracy. Their approach could aid offshore power generation, ship design and ocean monitoring.
An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically similar bacteria and mainly occurs in wastewater treatment plants and inside the human body.
Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science. Potentially, the models will assist the medical sciences in overcoming present challenges within, e.g. personalised medicine, drug discovery, and diagnostics.
Leveraging the power of AI and machine learning technologies, researchers developed a more effective model for predicting how patients with muscle-invasive bladder cancer will respond to chemotherapy. The model harnesses whole-slide tumor imaging data and gene expression analyses in a way that outperforms previous models using a single data type.
Researchers have conducted groundbreaking research on memristor-based brain-computer interfaces (BCIs). This research presents an innovative approach for implementing energy-efficient adaptive neuromorphic decoders in BCIs that can effectively co-evolve with changing brain signals.
Researchers have developed 'tomoseqr' -- a new software tool that enables easy estimation of the three-dimensional (3D) spatial distribution of gene expression. Tomoseqr is free to use and has been integrated into Bioconductor -- a widely used international platform for life science software. This innovative tool will potentially help researchers identify key genes involved in organism development, disease mechanisms, and regenerative biology.
New research has found that employers and policymakers might want to start paying attention to how workers are feeling, because employee happiness contains critical economic information.
Delayed and disorderly energy transitions will threaten economic and financial stability whilst also increasing the economic risks from climate change, according to a new study. Conversely, transitions that are started sooner are likely to be more orderly and economically beneficial.
Researchers developed a hybrid AI approach that can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses fewer computational resources. The tool uses an autoregressive model to quickly capture the big picture and then a small diffusion model to refine the details of the image.
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In a groundbreaking advancement for assisted reproduction, a baby has been born following fertilization through...
Amazon, Microsoft, and Google’s push to create data centers in some of the world’s driest...
Google Cloud and NVIDIA have announced a significant collaboration that aims to reshape how enterprises...
Amid a worsening US-China trade war, Beijing on Wednesday hit back at Washington by imposing...