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Computer vision made easy: Vision AI on Spring Boot and Java

In today’s era of data-driven applications, leveraging advanced machine learning and artificial intelligence services like computer vision has become increasingly important. One such service is the Vision API, which provides powerful image analysis capabilities. In this blog, we will explore how to create a Computer Vision application using Spring Boot and Java, enabling you to …

Chatgpt designs a robot

Poems, essays and even books — is there anything the OpenAI platform ChatGPT can’t handle? These new AI developments have inspired researchers to dig a little deeper: For instance, can ChatGPT also design a robot? And is this a good thing for the design process, or are there risks?

Optimising computer systems with more generalised AI tools

Based on reinforcement learning, our AI models AlphaZero and MuZero have achieved superhuman performance winning games. Now, they’re expanding their capabilities to help optimise resources in data centres and advance video compression – and most recently, our specialised version of AlphaZero, called AlphaDev, discovered new algorithms that are already accelerating the software applications at the …

Clients can strengthen defenses for their data with IBM Storage Defender, now generally available

We are excited to inform our clients and partners that IBM Storage Defender, part of our IBM Storage for Data Resilience portfolio, is now generally available. Enterprise clients worldwide continue to grapple with a threat landscape that is constantly evolving. Bad actors are moving faster than ever and are causing more lasting damage to data. …

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Evaluating speech synthesis in many languages with SQuId

Posted by Thibault Sellam, Research Scientist, Google Previously, we presented the 1,000 languages initiative and the Universal Speech Model with the goal of making speech and language technologies available to billions of users around the world. Part of this commitment involves developing high-quality speech synthesis technologies, which build upon projects such as VDTTS and AudioLM, …

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Accelerate PyTorch with DeepSpeed to train large language models with Intel Habana Gaudi-based DL1 EC2 instances

Training large language models (LLMs) with billions of parameters can be challenging. In addition to designing the model architecture, researchers need to set up state-of-the-art training techniques for distributed training like mixed precision support, gradient accumulation, and checkpointing. With large models, the training setup is even more challenging because the available memory in a single …