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Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI
Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI
Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI
Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI
Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI
Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI
Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI
Most AI diagnostic tools are black boxes, but the approach allows doctors and patients to understand how the computer reached a diagnosis.
On May 8, O’Reilly Media will be hosting Coding with AI: The End of Software Development as We Know It—a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. If you’re in the trenches building tomorrow’s development practices today and interested in speaking at […]
Researchers are blurring the lines between robotics and materials, with a proof-of-concept material-like collective of robots with behaviors inspired by biology.
Groundbreaking study shows machine learning can decode emotions in seven ungulate species. A game-changer for animal welfare? Can artificial intelligence help us understand what animals feel? A pioneering study suggests the answer is yes. Researchers have successfully trained a machine-learning model to distinguish between positive and negative emotions in seven different ungulate species, including cows, pigs, and wild boars. By analyzing the acoustic patterns of their vocalizations, the model achieved an impressive accuracy of 89.49%, marking the first cross-species study to detect emotional valence using AI.
A novel system that chases larval zebrafish around an arena with predator robots is enabling scientists to understand how these days-old fish quickly learn in the real world.
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
Engineers have developed a versatile swimming robot that nimbly navigates cluttered water surfaces. Inspired by marine flatworms, the innovative device offers new possibilities for environmental monitoring and ecological research.
Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs integrate data inputs across modalities in a central hub that processes data in an input-type-agnostic fashion.
Researchers have unveiled a transformative framework for understanding complex systems. This pioneering study establishes the new field of higher-order topological dynamics, revealing how the hidden geometry of networks shapes everything from brain activity to the climate and artificial intelligence (AI).
Ballbots are versatile robotic systems with the ability to move around in all directions. This makes it tricky to control their movement. In a recent study, a team has proposed a novel proportional integral derivative controller that, in combination with radial basis function neural network, robustly controls ballbot motion. This technology is expected to find applications in service robots, assistive robots, and delivery robots.
ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
On May 8, O’Reilly Media will be hosting Coding with AI: The End of Software Development as We Know It—a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. If you’re in the trenches building tomorrow’s development practices today and interested in speaking at […]
A few years ago, I fell into the world of anime from which I’d never escape. As my watchlist was growing thinner and thinner, finding the next best anime became harder and harder. There are so many hidden gems out there, but how do I discover them? That’s when I thought—why not let Machine Learning […]
The post How to Build an Anime Recommendation System with Hugging Face? appeared first on Analytics Vidhya.
Machines don’t break down out of nowhere—there are always signs. The problem? Humans aren’t always great at noticing them. That’s where Machine Predictive Maintenance comes in! This guide will take you through the exciting world of Machine Predictive Maintenance, using AWS and MLOps to ensure your equipment stays predictably reliable. Learning Objectives This article was […]
The post Machine Predictive Maintenance with MLOps – Deployed on AWS appeared first on Analytics Vidhya.
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
A research team has developed two new autonomous navigation systems for cyborg insects to better navigate unknown, complex environments. The algorithms utilized only simple circuits that leveraged natural insect behaviors, like wall-following and climbing, to navigate challenging terrain, such as sandy, rock-strewn surfaces. For all difficulties of terrain tested, the cyborg insects were able to reach their target destination, demonstrating the potential of cyborg insects for surveillance, disaster-site exploration, and more.
When I started working on the new edition of Head First C# back in 2023, AI tools like ChatGPT and Copilot were already changing how developers write and learn code. It was clear that I needed to cover them. But that raised an interesting challenge: How do you teach new and intermediate developers to use […]
Alumnus is the first major donor to support the building since Stephen A. Schwarzman’s foundational gift.
In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.
Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.
A study showed that chatbots alone outperformed doctors when making nuanced clinical decisions, but when supported by artificial intelligence, doctors performed as well as the chatbots.
Artificial Intelligence of Things (AIoT) is becoming immensely popular because of its widespread applications. In a groundbreaking study, researchers present a new AIoT framework called MSF-Net for accurately recognizing human activities using WiFi signals. The framework utilizes a novel approach that combines different signal processing techniques and a deep learning architecture to overcome challenges like environmental interference and achieve high recognition accuracy.