This is a guest post by Mario Namtao Shianti Larcher, Head of Computer Vision at Enel. Enel, which started as Italy’s national entity for electricity, is today a multinational company present in 32 countries and the first private network operator in the world with 74 million users. It is also recognized as the first renewables …
The feature, currently available in beta release outside of the UK and EU, could save enormous time for regular users of the service.Read More
A landmark $13 million settlement with the City of New York is the latest in a string of legal wins for protesters who were helped by a video-analysis tool that smashes the “bad apple” myth.
Google says it is in the early stages of developing artificial intelligence tools to help journalists write stories and headlines, and has discussed its ideas with leaders in the news industry.
At its core, text-to-video AI algorithms are designed to analyze text, comprehend its context, and generate relevant visual content to match. The concept promises a future where scripts can be turned into visually striking videos with minimal human intervention. While this vision remains tantalizingly just out of reach, today’s capabilities are still impressive, albeit less …
Read more “What Is Text-to-Video Technology? Unlocking the Future of Digital Storytelling”
We are thrilled to announce the launch of our new developer platform site. We want to make it easier and faster for you to discover and start using our API features. In this blog post, we delve into the key features and benefits of our new platform website, catering to the needs of developers and …
This blog post is part of the “All You Need to Know About Red Teaming” series by the IBM Security Randori team. The Randori platform combines attack surface management (ASM) and continuous automated red teaming (CART) to improve your security posture. “No battle plan survives contact with the enemy,” wrote military theorist, Helmuth von Moltke, …
Large language models (LLMs) can be used to analyze complex documents and provide summaries and answers to questions. The post Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data describes how to fine-tune an LLM using your own dataset. Once you have a solid LLM, you’ll want to expose that LLM to …
Time-series forecasting is one of the most important models across a variety of industries, such as retail, telecom, entertainment, manufacturing. It serves many use cases such as forecasting revenues, predicting inventory levels and many others. It’s no surprise that time series is one of the most popular models in BigQuery ML. Defining holidays is important …
Read more “How to use custom holidays for time-series forecasting in BigQuery ML”
A comprehensive guide on how to use Meta’s LLaMA 2, the new open-source AI model challenging OpenAI’s ChatGPT and Google’s Bard.Read More