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The AI revolution has already begun to rewire Wall St. Using it, a Harvard data scientist and his crack team have allowed everyday people to now benefit from a previously “off-limits” investment. The company that makes it possible is called Masterworks, whose unique investment platform enables savvy investors to invest in blue-chip art for a fraction of the cost. Their proprietary database of art market returns provides an unrivaled quantitative edge
Amazon is rolling out a new generative AI feature that is designed to help shoppers determine at a glance what other customers said about a product before they spend time reading through individual reviews.
Autonomous Cruise and Waymo taxis have been buzzing around the city for some time, and now they can offer round-the-clock rides for pay.
The US government is getting serious about regulating AI, with proposals focused on new rules, oversight institutions, funding for research, and expanding the expert workforce. However, the area remains slippery as the technology rapidly evolves. Key players like OpenAI and Microsoft have endorsed new government licensing and auditing for advanced AI models, but the specifics remain contested.
Efficient RGB-D semantic segmentation helps mobile robots understand their environment. While depth data offers useful geometric insights, it can be noisy. This paper introduces a streamlined network that uses less computing power but remains robust, blending color and depth features effectively.
3D detectors often fail when used in unfamiliar settings, causing a huge drop in detection rates due to changes in tools, places, or weather. This project proposes a self-training system that adapts to different lidar types by creating accurate fake labels, MS3D++.
Predicting the performance of pre-trained neural networks on multiple tasks without fine-tuning them is a challenge. The traditional method is computationally costly, while modern methods are limited to single tasks. This paper introduces EMMS, which transforms varied task labels into a unified format, allowing for the prediction of a model's effectiveness across tasks efficiently.
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What if you could spend 100x less time building apps for your team? With Glide’s AI-powered no-code app builder
There are lots of cloud providers popping up for fine-tuning or serving AI workloads. It is hard to know which one to choose over another one. This guide gives a pretty great set of heuristics to decide which cloud to run your jobs on.
Fooocus is an image-generating software that is offline, open-source, free, and does not require manual tweaking.
This project introduces a new tool called DatasetDM that can make endless fake images along with detailed labels, like which part is which object or how far things are in the image. This is great for training computer vision systems, and by using just a small set of real photos, the synthetic ones help achieve top results in tasks like identifying objects or editing images.
Generative AI is extremely hyped, but does it deserve it? Many professionals have still not found a good use for ChatGPT multiple months after its release. In this article, Gary Marcus explores the possibility that we are too confident in our assumptions that generative AI will be world-changing.
AI.com now redirects to x.AI, a company that aims to understand the true nature of the universe. OpenAI had seemingly purchased this domain back in February, but it looks like Musk swooped in.
The economist Matt Clancy and research scientist Tamay Besiroglu debate what happens to the economy when intelligence becomes extremely cheap.
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On the Tools and Weapons podcast, Microsoft Vice Chair and President Brad Smith explores the challenges of technology and society, including developing AI ethically so it serves all of humanity.
Apple is using an internal chatbot to help its employees prototype future features, summarize text, and answer questions based on data it has been trained with.
Humane plans to share more about its mysterious AI-powered wearable on the same day as a solar eclipse in October.