Introduction The process of deploying machine learning models is an important part of deploying AI technologies and systems to the real world. Unfortunately, the road to model deployment can be a tough one. The process of deployment is often characterized by challenges associated with taking a trained model — the culmination of a lengthy data-preparation …
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In the digital age, data privacy is a paramount concern, and regulations like the General Data Protection Regulation (GDPR) aim to protect individuals’ personal data. However, the advent of large language models (LLMs) such as GPT-4, BERT, and their kin pose significant challenges to the enforcement of GDPR. These models, which generate text by predicting …
In the realm of software development, efficiency and innovation are of paramount importance. As businesses strive to deliver cutting-edge solutions at an unprecedented pace, generative AI is poised to transform every stage of the software development lifecycle (SDLC). A McKinsey study shows that software developers can complete coding tasks up to twice as fast with …
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A variety of different techniques have been used for returning images relevant to search queries. Historically, the idea of creating a joint embedding space to facilitate image captioning or text-to-image search has been of interest to machine learning (ML) practitioners and businesses for quite a while. Contrastive Language–Image Pre-training (CLIP) and Bootstrapping Language-Image Pre-training (BLIP) …
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 …
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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 …