/AI Weekly/Issue 83
Sora rival Pika just dropped a new video AI model
Published Tuesday, February 4, 2025
AI video creator Pika Labs is keen to stand out from possible competitors like OpenAI and Sora, and its newest model adds some real power to that effort. Pika 2.1 added a whole suite of new and upgraded features just a little over a month after Pika 2.0 dropped.
If successful, the scheme could speed up testing and reduce radiologists’ workload by around half The NHS is launching the world’s biggest trial of artificial intelligence to detect breast cancer, which could lead to faster diagnosis of the disease. AI will be deployed to analyse two-thirds of at least 700,000 mammograms done in England over the next few years to see if it is as accurate and reliable at reading scans as a radiologist.
LLMs (large language models) have experienced explosive growth in capability, proliferation, and adoption across both consumer and enterprise domains. These models, which have demonstrated remarkable performance in tasks ranging from natural-language understanding to code generation, have become a focal point of artificial intelligence research and applications. In the rush to integrate these powerful tools into the technological ecosystem, however, it is crucial to understand their fundamental behaviors and the implications of their widespread adoption.
In the task of reference-based image inpainting, an additional reference image is provided to restore a damaged target image to its original state. The advancement of diffusion models, particularly Stable Diffusion, allows for simple formulations in this task. However, existing diffusion-based methods often lack explicit constraints on the correlation between the reference and damaged images, resulting in lower faithfulness to the reference images in the inpainting results.
In this episode, we delve into the day-to-day life of cloud advocate Amy Boyd, the intriguing world of AI, and the challenges and opportunities that come with it. Amy shares her passion for data, her journey into AI, and offers valuable advice for those eager to dive into the field. We also discuss the importance of responsible AI and the layers of defense required to ensure its ethical use.
Discover the basics of generative AI, including core models and functionalities. Learn how to utilize these models within the Azure ecosystem, leveraging various services to build your own generative AI applications. Tune in on 4th February at 9AM PST (6PM CET) to join the upcoming Reactor live-streaming or watch later on-demand.
AI is changing the world, but not all of it is good news. While it brings convenience and innovation, there’s a darker side to this technology that we often overlook. From deepfakes and job automation to privacy violations and AI-powered cyberattacks, the risks are growing as fast as the technology itself. This article explores 10 ways AI could be dangerous — and why we need to be more cautious about the future we’re building.
The Support Vector Machine (SVM) is a popular learning algorithm used for many classification problems. They are known to be useful out-of-the-box (not much manual configuration required), and they are valuable for applications where knowledge of the class boundaries is more important than knowledge of the class distributions. When working with SVMs, you may hear people mention Support Vector Classifiers (SVC) or Maximal Margin Classifiers (MMC). While these algorithms are all related, there is an important distinction to be made between the three of them.
The Global AI Bootcamp is an annual event that occurs worldwide, where developers and AI enthusiasts can learn about AI through workshops, sessions, and discussions. Local chapters of the Global AI…
This repository is an open-sourced framework for speech recognition, with a primary focus on visual speech (lip-reading). It is designed for end-to-end training, aiming to deliver state-of-the-art models and enable reproducibility on audio-visual speech benchmarks.
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