Driven by the importance of spatial and physical factors in cellular processes and the size and complexity of modern image data, computational analysis of biological imagery has become a vital emerging sub-discipline of bioinformatics and computer vision.doi:10.1038/nmeth.2024...
Learn why high-quality training data matters in the creation of AI models. Discover the impact of data quality on AI model performance.
Recently, the computer vision and machine learning community has been in favor of feature extraction pipelines that rely on a coding step followed by a linear classifier, due to their overall simplicity, well understood properties of linear classifiers, and their computational efficiency. In this ...
A lot of computational power is needed to solve deep-learning problems because of the iterative nature of deep-learning algorithms, their complexity as the number of layers increase and the large volumes of data needed to train the networks. ...
Our in-house research team conducts original research on topics as diverse as why design matters to nurses, what makes campuses relevant to students in the age of digital learning, whether design is a factor in attracting talent and the similarities and differences between incubators, accelerators ...
Now, smartphone cameras are the epitome of edge AI capability, secure enough for biometric authentication and powerful enough for computational photography: adding complex 3D effects, background blur, or pairs of bunny ears to photos and even live video in real time. Each new generation...
Start small. Don’t allow yourself to be overwhelmed by the complexity of setting up a proper data collection and data management plan. Start small and work your way up from there. Don’t measure everything, just your metrics. Otherwise, you might end up drawing in a sea of data and ch...
Why NetworkX Matters to Data Scientists Data Science Teams Big data science projects like machine learning and deep learning often require collaboration between many team members. The availability of standardized tools and formats greatly simplifies information sharing. With its roots in Python, one of ...
itâs no surprise that many are feeling some fatigue at the pace of new open source big data project releases. After working with Kudu for the past year with large companies and real-world use cases, weâre more convinced than ever that Kudu matters and that itâ...
Why BERT Matters to... Machine Learning Researchers Invoking change in natural language processing equated to that of AlexNet on computer vision, BERT is markedly revolutionary to the field. The ability to replace only the final layer of the network to customize it for some new task means that...