Using illustrations to train an image-free computer vision system to recognize real photos
You’ve likely heard that a picture is worth a thousand words, but can a large language model (LLM) get the picture if it’s never seen images before?
Supercharging Anti-Money Laundering (AML) with Generative AI at Strise
Who are we? For financial institutions, maintaining compliance with national and international laws is a costly burden, with the banking industry spending over $200 billion to meet the strict scrutiny of regulators. To make this process easier, and less burdensome, Strise has built an Anti-Money Laundering (AML) Intelligence System trusted by some of the largest …
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McLaren Artura Spider Hybrid 2024 Review: Performance Party
This drop-top hybrid supercar is the very definition of dynamic driving. Only the indistinctive looks let it down.
People struggle to tell humans apart from ChatGPT in five-minute chat conversations, tests show
Large language models (LLMs), such as the GPT-4 model underpinning the widely used conversational platform ChatGPT, have surprised users with their ability to understand written prompts and generate suitable responses in various languages. Some of us may thus wonder: are the texts and answers generated by these models so realistic that they could be mistaken …
AGI isn’t here (yet): How to make informed, strategic decisions in the meantime
AI is a powerful technology, but humans must be the ones making critical decisions driven by reason, benchmarking and common sense.Read More
A new large-scale simulation platform to train robots on everyday tasks
The performance of artificial intelligence (AI) tools, including large computational models for natural language processing (NLP) and computer vision algorithms, has been rapidly improving over the past decades. One reason for this is that datasets to train these algorithms have exponentially grown, collecting hundreds of thousands of images and texts often collected from the internet.
5 Free Resources for Understanding Neural Networks
Deep learning models achieve state-of-the-art performance in several computer vision and natural language processing tasks. If you want to become proficient in deep learning, you should first understand how neural networks work and then proceed to explore the different types and neural network architectures for specific tasks. To help you get started, we’ve compiled a …
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7 Must-Have Shopify App Plugins + Why You Actually Need Them
Which is the right app for my Shopify store? This question has probably been on the top of your head if you’re a Shopify Merchant, thanks to the hundreds of apps available on the Shopify store. Shopify has been delighting its user’s thanks to its sleek, modern interface, a very robust support team, and of course, …
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Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation
Human evaluation is a critical component in machine translation system development and has received much attention in text translation research. However, little prior work exists on the topic of human evaluation for speech translation, which adds additional challenges such as noisy data and segmentation mismatches. We take first steps to fill this gap by conducting …
Zero to FedRAMP in Months
Why cybersecurity company Manifest partnered with Palantir FedStart When cybersecurity company Manifest secured a contract with the U.S. Department of Homeland Security that required federal accreditation, it turned to Palantir. Typically, the processes to obtain the requisite accreditation from the Federal Risk and Authorization Management Program (FedRAMP) and the Defense Information Systems Agency’s Impact Level programs …