Despite AI’s potential to drive competitive advantages, realizing its business value remains a challenge. Organizations are still struggling to move AI projects beyond experimentation, with some estimates in the last few years indicating that more than half of machine learning (ML) pilots fail to make it to production. ML systems are full of hidden technical …
Read more “VESSL AI builds end-to-end MLOps platform with Google Cloud”
With so many lining up to voluntarily deal with OpenAI, it’s clear where the seat of power lies. And that’s not something media companies…Read More
The US says a Chinese national operated the “911 S5” botnet, which included computers worldwide and was used to file hundreds of thousands of fraudulent Covid claims and distribute CSAM, among other crimes.
Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step towards markerless tracking of animals in the wild using computer vision and machine learning.
Researchers at the University of Toronto Institute for Aerospace Studies (UTIAS) have introduced a pair of high-tech tools that could improve the safety and reliability of autonomous vehicles by enhancing the reasoning ability of their robotic systems.
Data science uses mathematics to analyze data, distill information, and tell a story. The result of data science may be just to rigorously confirm a hypothesis, or to discover some useful property from the data. There are many tools you can use in data science, from basic statistics to sophisticated machine learning models. Even the …
In the field of deep point cloud understanding, KPConv is a unique architecture that uses kernel points to locate convolutional weights in space, instead of relying on Multi-Layer Perceptron (MLP) encodings. While it initially achieved success, it has since been surpassed by recent MLP networks that employ updated designs and training strategies. Building upon the …
Read more “KPConvX: Modernizing Kernel Point Convolution with Kernel Attention”
Virtually every organization recognizes the power of data to enhance customer and employee experiences and drive better business decisions. Yet, as data becomes more valuable, it’s also becoming harder to protect. Companies continue to create more attack surfaces with hybrid models, scattering critical data across cloud, third-party and on-premises locations, while threat actors constantly devise new …
Read more “Data protection strategy: Key components and best practices”
GitHub’s AI Accelerator ignites open source revolution, empowering startups like Unsloth and Formbricks to democratize access to cutting-edge AI technologies and challenge big tech’s dominance in the field.Read More
Paper Mario: The Thousand-Year Door proves that using new tech to bring old visions to life (and cut down on pain points) is way more effective than a simple cash grab.