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Our next iteration of the FSF sets out stronger security protocols on the path to AGI
Our next iteration of the FSF sets out stronger security protocols on the path to AGI
Our next iteration of the FSF sets out stronger security protocols on the path to AGI
“We need to both ensure humans reap AI’s benefits and that we don’t lose control of the technology,” says senior Audrey Lorvo.
Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: sparsity and symmetry.
The consortium will bring researchers and industry together to focus on impact.
By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.
A new approach, which takes minutes rather than days, predicts how a specific DNA sequence will arrange itself in the cell nucleus.
Beam search is a powerful decoding algorithm extensively used in natural language processing (NLP) and machine learning. It is especially important in sequence generation tasks such as text generation, machine translation, and summarization. Beam search balances between exploring the search space efficiently and generating high-quality output. In this blog, we will dive deep into the […]
The post What is Beam Search in NLP Decoding? appeared first on Analytics Vidhya.
AI agents trained in simulations that differ from the environments where they are deployed sometimes perform better than agents trained and deployed in the same environment, research shows.
MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.
Projects from MIT course 4.043/4.044 (Interaction Intelligence) were presented at NeurIPS, showing how AI transforms creativity, education, and interaction in unexpected ways.
Sometimes, it might be better to train a robot in an environment that’s different from the one where it will be deployed.
Can a computer learn a language the way a child does? A recent study sheds new light on this question. The researchers advocate for a fundamental revision of how artificial intelligence acquires and processes language.
Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.
In the same way that terrestrial life evolved from ocean swimmers to land walkers, soft robots are progressing, too, thanks to recent research in battery development and design.
Meta AI's recent research introduces the BLT architecture, eliminating tokenizers for improved multimodal processing, and the Large Concept Model (LCM), which operates on semantic "concepts" instead of tokens for more human-like reasoning and better cross-lingual generalization. These innovations challenge the traditional "next-token prediction" paradigm in LLMs.
The post Beyond Next-Token Prediction? Meta’s Novel Architectures Spark Debate on the Future of Large Language Models first appeared on Synced.
Station A, founded by MIT alumni, makes the process of buying clean energy simple for property owners.
Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.
The AI revolution is upon us, but in between this chaos a very critical question gets overlooked by most of us – How do we maintain these sophisticated AI systems? That’s where Machine Learning Operations (MLOps) comes into play. In this blog we will understand the importance of MLOps with ZenML, an open-source MLOps framework, […]
The post Understanding MLOps With ZenML Project appeared first on Analytics Vidhya.
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
Scientists have developed a computing chip that can learn, correct errors, and process AI tasks.
Don’t know much about Bitcoin or its price fluctuations but want to make investment decisions to make profits? This machine learning model has your back. It can predict the prices way better than an astrologer. In this article, we will build an ML model for forecasting and predicting Bitcoin price, using ZenML and MLflow. So […]
The post Bitcoin Price Prediction Using MLops appeared first on Analytics Vidhya.
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
The robotics industry should be creating robots that could be reprogrammed and repurposed for other tasks once its life span is completed, researchers have advised.
Researchers have developed a novel 6D pose dataset designed to improve robotic grasping accuracy and adaptability in industrial settings. The dataset, which integrates RGB and depth images, demonstrates significant potential to enhance the precision of robots performing pick-and-place tasks in dynamic environments.
The startup NALA, which began as an MIT class project, directly matches art buyers with artists.
In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems. Through tools like LIME and SHAP, we demonstrate how to gain insights […]
The post ML and AI Model Explainability and Interpretability appeared first on Analytics Vidhya.
New insect-scale microrobots can fly more than 100 times longer than previous versions. The new bots, also significantly faster and more agile, could someday be used to pollinate fruits and vegetables.
A new initiative is challenging the conversation around the direction of artificial intelligence (AI). It charges that the current trajectory is inherently biased against non-Western modes of thinking about intelligence -- especially those originating from Indigenous cultures. Abundant Intelligences is an international, multi-institutional and interdisciplinary program that seeks to rethink how we conceive of AI. The driving concept behind it is the incorporation of Indigenous knowledge systems to create an inclusive, robust concept of intelligence and intelligent action, and how that can be embedded into existing and future technologies.