OfferFit gets $25M to kill A/B testing for marketing with machine learning personalization
Reinforcement learning forms the backbone of OfferFit’s automated marketing solution, which ingests data about its clients’ customers.Read More
A system that allows robots to use tools creatively by leveraging large language models
Researchers at Carnegie Mellon University and Google DeepMind recently developed RoboTool, a system that can broaden the capabilities of robots, allowing them to use tools in more creative ways. This system, introduced in a paper published on the arXiv preprint server, could soon bring a new wave of innovation and creativity to the field of …
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How generative AI is defining the future of identity access management
Generative AI is shaping the future of identity access management by improving outlier behavior analysis and guarding against new threats.Read More
The SAG Deal Sends a Clear Message About AI and Workers
The agreement between Hollywood actors, studios, and streamers isn’t perfect. But it could set the tone for how future labor movements confront changes brought about by artificial intelligence.
New study finds bigger datasets might not always be better for AI models
From ChatGPT to DALL-E, deep learning artificial intelligence (AI) algorithms are being applied to an ever-growing range of fields. A new study from University of Toronto Engineering researchers, published in Nature Communications, suggests that one of the fundamental assumptions of deep learning models—that they require enormous amounts of training data—may not be as solid as …
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26 Outdoor Gift Ideas (2023): Camp Cookware, Bike Accessories, Outdoor Apparel
Give your favorite adventurer a gift that lets everybody know their happy place is the Great Outdoors.
Engineers are on a failure-finding mission
Engineers developed a technique to quickly identify a range of potential failures in a system before they are deployed in the real world.
‘The Beast Adjoins’ Is Seriously Creepy Sci-Fi
The short story presents a fresh take on the idea of an AI uprising.
Why developer productivity isn’t all about tooling and AI
When engineers have the right mix of time, support, information and tools, they’re capable of doing more than a team 10 times the size.Read More
Study explores the scaling of deep learning models for chemistry research
Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these networks to analyze chemical data and identify promising chemicals for various applications.