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Discussion backed up by some concrete examples, sketching broad guidelines on how to develop better AI systems Photo by National Cancer Institute on UnsplashArtificial Intelligence has become an integral tool in scientific research, but concerns are growing that the misuse of these powerful tools is leading to a reproducibility crisis in science and its technological…
The volatile artificial intelligence (AI) market will see debate, traction and advancement in 2024, though these trends may appear differently than you expect. Investors will divide their financial resources in various ways, and public AI usage will shift. The upcoming year will prove pivotal in AI’s trajectory concerning ethical mentalities to worldwide legislation.
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Want to spend your morning trying out the new features in the latest Python version…And your lunch break sifting through a legacy Python codebase—all without breaking your development environment?
Yes, it is possible. And Pyenv is here to help. With Pyenv, you can install Python versions, switch between versions, and…
Neural graphics primitives (NGP) are promising in enabling the smooth integration of old and new assets across various applications. They represent images, shapes, volumetric and spatial-directional data, aiding in novel view synthesis (NeRFs), generative modeling, light caching, and various other applications. Notably successful are the primitives representing data through a feature grid containing trained latent…
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PYTHON PROGRAMMING Tuples are a powerful Python type — but named tuples even more so! Named tuples join the strengths of names and tuples. Photo by Ainur Iman on UnsplashThe three most popular Python data types are the list, the dictionary, and the tuple. Lists and dictionaries are mutable, meaning that their elements can be…
Object segmentation across images and videos is a complex yet pivotal task. Traditionally, this field has witnessed a siloed progression, with different tasks such as referring image segmentation (RIS), few-shot image segmentation (FSS), referring video object segmentation (RVOS), and video object segmentation (VOS) evolving independently. This disjointed development resulted in inefficiencies and an inability to…
DeepMind published a series of papers about large language models (LLMs) last year, including an analysis of Gopher, our large language model. Language modelling technology, which is also currently being developed by several other labs and companies, promises to strengthen many applications, from search engines to a new wave of chatbot-like conversational assistants and beyond.…
Geospatial indexing, or Geocoding, is the process of indexing latitude-longitude pairs to small subdivisions of geographical space, and it is a technique that we data scientists often find ourselves using when faced with geospatial data. Though the first popular geospatial indexing technique “Geohash” was invented as recently as 2008, indexing latitude-longitude pairs to manageable subdidivisions…