Latest AI & Business News
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Pig Butchering Scams Are Going High Tech
Scammers in Southeast Asia are increasingly turning to AI, deepfakes, and dangerous malware in a way that makes their pig butchering operations even more convincing.
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The FBI Made a Crypto Coin Just to Catch Fraudsters
Plus: New details emerge in the National Public Data breach, Discord gets blocked in Russia and Turkey over alleged illegal activity on the platform, and more.
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UGround: A Universal GUI Visual Grounding Model Developed with Large-Scale Web-based Synthetic Data
Graphical User Interface (GUI) agents are crucial in automating interactions within digital environments, similar to how humans operate software using keyboards, mice, or touchscreens. GUI agents can simplify complex processes such as software testing, web automation, and digital assistance by autonomously navigating and manipulating GUI elements. These agents are designed to perceive their surroundings through…
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OpenAI Releases Swarm: An Experimental AI Framework for Building, Orchestrating, and Deploying Multi-Agent Systems
In the rapidly evolving world of artificial intelligence, one pressing challenge that developers face is orchestrating complex multi-agent systems. These systems, involving multiple AI agents working collaboratively, often present significant difficulties in coordination, control, and scalability. Current solutions tend to be heavy, requiring extensive resource allocation, which complicates deployment and testing. OpenAI introduces the Swarm…
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INTELLECT-1: The First Decentralized 10-Billion-Parameter AI Model Training
Addressing the Challenges in AI Development The journey to building open source and collaborative AI has faced numerous challenges. One major problem is the centralization of AI model development, which has largely been controlled by a big AI players with vast resources. This concentration of power limits opportunities for broader participation in the AI development…
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Google AI Researchers Propose Astute RAG: A Novel RAG Approach to Deal with the Imperfect Retrieval Augmentation and Knowledge Conflicts of LLMs
Retrieval-augmented generation (RAG) has become a key technique in enhancing the capabilities of LLMs by incorporating external knowledge into their outputs. RAG methods enable LLMs to access additional information from external sources, such as web-based databases, scientific literature, or domain-specific corpora, which improves their performance in knowledge-intensive tasks. RAG systems can generate more contextually accurate…
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Researchers from UCSD and Adobe Introduce Presto!: An AI Approach to Inference Acceleration for Score-based Diffusion Transformers via Reducing both Sampling Steps and Cost Per Step
Text-to-Audio (TTA) and Text-to-Music (TTM) generation have seen significant advancements in recent years, driven by audio-domain diffusion models. These models have demonstrated superior audio modeling capabilities compared to generative adversarial networks (GANs) and variational autoencoders (VAEs). However, diffusion models face the challenge of long inference times due to their iterative denoising process. This results in…
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Tesla heralds ‘unsupervised’ self-driving AI by 2027, but skeptics abound
During a robotic taxi demonstration, Elon Musk says the fully autonomous car will drive while you sleep.
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LeanAgent: The First Life-Long Learning Agent for Formal Theorem Proving in Lean, Proving 162 Theorems Previously Unproved by Humans Across 23 Diverse Lean Mathematics Repositories
The problem that this research seeks to address lies in the inherent limitations of existing large language models (LLMs) when applied to formal theorem proving. Current models are often trained or fine-tuned on specific datasets, such as those focused on undergraduate-level mathematics, but struggle to generalize to more advanced mathematical domains. These limitations become more…
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NVIDIA Is Increasingly the Secret Sauce in AI Deployments, But You Still Need Experience
I’ve been through a number of briefings from different vendors from IBM to HP, and there is one constant: they are all leaning heavily on NVIDIA for their AI services strategy. That may be a best practice, but NVIDIA doesn’t do deployments. As companies like Accenture spin up 30K people on its effort, there will…