Future tech skills and in-demand IT skills through 2030 include AI, cybersecurity, cloud, and blockchain, guiding career growth in evolving tech landscapes.

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Semantic segmentation is a core task in computer vision, essential for applications requiring detailed scene understanding, such as medical imaging, precision agriculture, and remote sensing. Recent ...

According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...

The Chat feature of Google AI Studio allows users to interact with Gemini models in a conversational format. This feature can make everyday tasks easier, such as planning a trip itinerary, drafting an ...

As the Horizon Europe project veraAI against disinformation is coming to an end, a number of AI-based fact-checking tools developed within the project (with active participation from several EBU ...

Founded by former OpenAI staff members and funded by Amazon and Google, Anthropic has raised the stakes in the GPT wars. Anthropic's Claude Desktop app often outshines its ChatGPT rival in various ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

Abstract: Colorizing grayscale photos is a difficult process that has important uses in the creative industries, media improvement, and historical photo restoration. By utilizing advances in neural ...