Andrew Ng is among the pioneers of deep learning—the use of large neural networks in A.I. He’s also one of the most thoughtful A.I. experts on how real businesses are using the technology. His company, Landing [… Read more ]
Deep learning (DL) is the discipline of artificial intelligence (AI) that focuses on intelligent machines’ learning and comprehension ability. Deep learning models are designed inspired by the structure and working principle of the human brain. [… Read more ]
Python has been steadily rising to become a top programming language. There are many reasons for this, including its extremely high efficiency when compared to other mainstream languages. It also features English-like commands and syntax, [… Read more ]
For humans, working with deformable objects is not significantly more difficult than handling rigid objects. We learn naturally to shape them, fold them, and manipulate them in different ways and still recognize them. But for [… Read more ]
Edge AI will be a crucial technology for bringing deep learning from the cloud to the edge. In healthcare and medical imaging, computer vision has shown considerable promise. However, as technology advances, a growing number of medicinal applications [… Read more ]
The model could uncover quakes that would previously have been dismissed as human-generated vibrations. Cities are loud places. Traffic, trains, and machinery generate a lot of noise. While it’s a mere inconvenience much of the [… Read more ]
Research papers are the wellspring of ideas pushing the frontiers of cutting edge technologies. Scholars around the globe rely on platforms like arXiv, JSTOR, Reddit, PapersWithCode to get up to speed on the latest in AI and data [… Read more ]
Let me start by saying a few things that seem obvious,” Geoffrey Hinton, “Godfather” of deep learning, and one of the most celebrated scientists of our time, told a leading AI conference in Toronto in [… Read more ]
In recent years, scientists have been working on a variety of systems that can identify and traverse items in their environment. Most of these systems rely on deep learning and machine learning algorithms that use [… Read more ]
Looking back to the 2010s, those years were characterized by the resurgence of Neural Networks and, in particular, Convolutional Neural Networks (ConvNet). Since the introduction of AlexNet, the field has evolved at a very fast [… Read more ]
Machine learning heavily relies on probability theory. Hence, managing uncertainty (read imperfect or incomplete information) is key to machine learning (ML) projects. Ideally, deep learning makes it possible to produce dependable predictions on data from the same distribution the [… Read more ]
Deep learning is a type of machine learning in AI that gathers huge datasets to make machines act like humans. Due to the use of neural networks, deep learning produces optimized results. You must have observed [… Read more ]
In today’s industry, AI and machine learning are regarded as the cornerstones of technological transformation. Enterprises have become more intelligent and efficient as a result of incorporating machine learning algorithms into their operations. The advancement [… Read more ]
In recent years, voice-based virtual assistants such as Google Assistant and Amazon Alexa have grown popular. This has presented both potential and challenges for natural language understanding (NLU) systems. These devices’ production systems are often [… Read more ]
They’re fine if customers need something simple done. But if the consumer is already angry, the chatbots will make them even angrier As more companies use humanlike chatbots, they need to be aware of a [… Read more ]
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