AI News

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3 Data-Proven Ways Companies Can Increase AI Adoption and Boost Productivity

3 Data-Proven Ways Companies Can Increase AI Adoption a...

As more companies explore how AI can drive productivity, one crucial aspect is o...

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Real Identities Can Be Recovered From Synthetic Datasets

Real Identities Can Be Recovered From Synthetic Datasets

If 2022 marked the moment when generative AI’s disruptive potential first captur...

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10 Best AI Tools for Environmental Monitoring (November 2024)

10 Best AI Tools for Environmental Monitoring (November...

In today’s world, as businesses face increasing pressure to adopt sustainable pr...

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Birago Jones, Co-Founder and CEO of Pienso – Interview Series

Birago Jones, Co-Founder and CEO of Pienso – Interview ...

Birago Jones is the CEO and Co-Founder of Pienso, a no-code/low-code platform fo...

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Microsoft AutoGen: Multi-Agent AI Workflows with Advanced Automation

Microsoft AutoGen: Multi-Agent AI Workflows with Advanc...

Microsoft Research introduced AutoGen in September 2023 as an open-source Python...

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Scale AI and Meta Introduces Defense Llama: The LLM Purpose-Built for American National Security

Scale AI and Meta Introduces Defense Llama: The LLM Pur...

The quest to strengthen national security has faced several challenges over the ...

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Meta AI Introduces AdaCache: A Training-Free Method to Accelerate Video Diffusion Transformers (DiTs)

Meta AI Introduces AdaCache: A Training-Free Method to ...

Video generation has rapidly become a focal point in artificial intelligence res...

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NVIDIA AI Introduces MM-Embed: The First Multimodal Retriever Achieving SOTA Results on the Multimodal M-BEIR Benchmark

NVIDIA AI Introduces MM-Embed: The First Multimodal Ret...

In the world of information retrieval, one of the most challenging tasks is to c...

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Quantum Tunneling Meets AI: How Deep Neural Networks are Transforming Optical Applications

Quantum Tunneling Meets AI: How Deep Neural Networks ar...

The quantum tunneling (QT) effect discovered in the 1920s was a major achievemen...

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Microsoft Researchers Introduce Magentic-One: A Modular Multi-Agent System Focused on Enhancing AI Adaptability and Task Completion Across Benchmark Tests

Microsoft Researchers Introduce Magentic-One: A Modular...

Agentic systems are a progressive branch of artificial intelligence that aims to...

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SelfCodeAlign: An Open and Transparent AI Framework for Training Code LLMs that Outperforms Larger Models without Distillation or Annotation Costs

SelfCodeAlign: An Open and Transparent AI Framework for...

Artificial intelligence has transformed code generation, with large language mod...

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MIT Researchers Developed Heterogeneous Pre-trained Transformers (HPTs): A Scalable AI Approach for Robotic Learning from Heterogeneous Data

MIT Researchers Developed Heterogeneous Pre-trained Tra...

In today’s world, building robotic policies is difficult. It often requires coll...

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Top 15+ GPU Server Hosting Providers in 2025

Top 15+ GPU Server Hosting Providers in 2025

High-performance computing has become crucial for various businesses, including ...

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A New Google DeepMind Research Reveals a New Kind of Vulnerability that Could Leak User Prompts in MoE Model

A New Google DeepMind Research Reveals a New Kind of Vu...

The routing mechanism of MoE models evokes a great privacy challenge. Optimize L...

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LLM-KT: A Flexible Framework for Enhancing Collaborative Filtering Models with Embedded LLM-Generated Features

LLM-KT: A Flexible Framework for Enhancing Collaborativ...

Collaborative Filtering (CF) is widely used in recommender systems to match user...

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M-RewardBench: A Multilingual Approach to Reward Model Evaluation, Analyzing Accuracy Across High and Low-Resource Languages with Practical Results

M-RewardBench: A Multilingual Approach to Reward Model ...

Large language models (LLMs) have transformed fields ranging from customer servi...

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