摘要： The New York Times recently published an article demonstrating how far computer vision has come in just a few years. When the technology initially emerged back in 2014, AI-generated images of human faces were crude at best. Now, they’re nearly indistinguishable from the real thing. If one facet of AI can progress this rapidly, it begs the question: What’s next?
摘要： Artificial intelligence, machine learning, deep learning, neural networks. ML terms are often used synonymously, but their differences are important to understand.
摘要： Deep learning has yielded amazing advances in natural language processing. Tap into the latest innovations with Explosion, Huggingface, and John Snow Labs.
摘要： When we imagine the future of AI, we may think of the fiction we see in cinema: highly advanced robots that can mimic humans so well as to be indistinguishable from them. It is true that the ability to quickly learn, process, and analyze information to make decisions is a key feature of artificial intelligence.
摘要： Upskilling teams in machine learning and artificial intelligence can help you organically build a future-ready workforce with the necessary skills to face upcoming challenges.
摘要： Analogies play a crucial role in commonsense reasoning. The ability to recognize analogies like “eye is to seeing what ear is to hearing,” sometimes referred to as analogical proportions, shape how humans structure knowledge and understand language. In a new study that looks at whether AI models can understand analogies, researchers at Cardiff University used benchmarks from education as well as more common datasets. They found that while off-the-shelf models can identify some analogies, they sometimes struggle with complex relationships, raising questions about to what extent models capture knowledge.
摘要： Some years back, data analysis was limited to big companies with financial capabilities. However, this is no longer the trend. Many organizations use data analytics in multiple capacities and for various reasons. Data analytics involves numerous approaches such as recording, organizing, analyzing, distribution, and data presentation.
摘要： Data analytics are taking huge leaps in the modern technical sense owing to what experts call “the data boom”. There are billions of gigabytes of information available throughout the various segments across the world. Managing all of them in a way such that we can get effective information is crucial. Otherwise, it is just a bunch of gibberish.
