The Best Optimization Algorithm for Your Neural Network

Practical Solutions for Noisy Restless Multi-Arm Bandits Overview The Restless Multi-Arm Bandit (RMAB) model offers practical solutions for resource allocation in various fields such as healthcare, online advertising, and conservation. However, challenges arise due to systematic…

Large language models (LLMs) trained on extensive text data exhibit impressive abilities across various tasks, challenging the traditional benchmarks. Studies by MIT and others show that when LLMs utilize collective intelligence, they can compete with human…

Joy Buolamwini, a prominent AI researcher and activist, calls for a radical rethink of AI systems, highlighting the unethical practices of many AI companies. She emphasizes the need for rigorous testing and auditing of AI systems…

Researchers at CMU propose a novel approach to camera pose estimation, introducing a patch-wise ray prediction model, diverging from traditional methods. This innovative method shows promising results, surpassing existing techniques and setting new standards for accuracy…

Practical Solutions and Value of Deep Learning in Healthcare Transforming Biomedical Data with Deep Learning Deep learning offers a transformative approach to process complex biomedical data, enabling end-to-end learning models that can extract meaningful insights directly…

Engineers have created a fast and precise 3D inkjet printer that uses computer vision to regulate material deposition in real time. The printer can handle multiple materials, allowing for a diverse range of fabrication possibilities.

MIT researchers developed an automated onboarding system that improves human-AI collaboration accuracy by training users when to trust AI assistance. Their method uses natural language to teach rules based on the user’s past interactions with AI,…

Practical Solutions for Exploiting Large Language Models’ Vulnerabilities Overview Limitations in handling deceptive reasoning can jeopardize the security of Large Language Models (LLMs). Challenges LLMs struggle to generate intentionally deceptive content, making them susceptible to attacks…

Large language models (LLMs) are being used more frequently as conversational systems, leading to increased reliance on them for answers. To understand how these models respond to questions about ongoing debates, we need datasets with human-annotated…

Understanding Probabilistic Diffusion Models Probabilistic diffusion models are crucial for creating complex data like images and videos. They convert random noise into structured, realistic data. The process involves two main phases: the forward phase adds noise…

Code Generation Models: A New Era Code generation models have advanced significantly due to better computing power and high-quality training data. Models like Code-Llama, Qwen2.5-Coder, and DeepSeek-Coder excel in various programming tasks. They are trained using…

NVIDIA unveiled new GPUs, graphics cards, and developer tools at CES, targeting AI models and applications on local devices. The focus shifts to powering generative AI on laptops and PCs with GeForce RTX SUPER desktop GPUs.…

Accelerating Generative AI Inference Speed with NVIDIA TensorRT Model Optimizer Generative AI, while powerful, faces challenges with slow inference speed in real-world applications. This impacts user experiences, turnaround times, and scalability. NVIDIA addresses these challenges with…

VistaLLM, a new general-purpose vision model, excels in handling coarse- and fine-grained reasoning and grounding tasks for single or multiple-input images. It employs sequence-to-sequence conversion, an instruction-guided image tokenizer, and a gradient-aware adaptive contour sampling scheme.…

Challenges with Large Language Models Large Language Models (LLMs) often struggle with multi-step reasoning, especially in complex tasks like math and coding. They mainly learn from correct solutions, which makes it hard for them to detect…

Midjourney offers AI image generation for customizable wall art, with a variety of styles available such as Ukrainian Folk Art, Eero Aarnio, Huichol Art, Victorian Era Cabinet Card, Yu-Gi-Oh, Joost Swarte, Dana Trippe, Marcel Janco, Milo…

This text discusses the 5 pillars of trustworthy large language model (LLM) testing: hallucination, bias, reasoning, generation quality, and model mechanics. It highlights the importance of understanding LLM behaviors and testing them in different scenarios. The…