Lawyer Beats AI In Mock Trial Experiment
Given advances in generative AI, would a person in court assisted primarily by AI be able to outperform a regular human lawyer? Australian law firm, …
ai
This AI Paper Propsoes an AI Framework to Prevent Adversarial Attacks on Mobile Vehicle-to-Microgrid Services
Mobile Vehicle-to-Microgrid (V2M) services enable electric vehicles to supply or store energy for localized power grids, enhancing grid stability and flexibility. AI is crucial in optimizing energy distribution, forecasting demand,…
IoT-LLM: An AI Framework that Integrates IoT Sensor Data with LLMs to Enhance their Perception and Reasoning Abilities in the Physical World
Widely growing sectors, like Healthcare, logistics, and smart cities, are interconnected on devices that require task reasoning capabilities in the Internet of Things (IoT) systems. This requirement has prompted researchers…
What does the future hold for governments? The next frontier of AI
Everyone is talking about artificial intelligence (AI) for a good reason. It’s already revolutionizing the world as we know it. And governments are well-poised to use AI to improve services…
Juro Launches AI Extract For Third-Party Contracts
Juro, which focuses on corporate contracting needs, has launched ‘AI Extract’ to accelerate the review of incoming third-party contracts. The new feature will analyse contracts …
Meissonic: A Non-Autoregressive Mask Image Modeling Text-to-Image Synthesis Model that can Generate High-Resolution Images
Large Language Models (LLMs) have demonstrated remarkable progress in natural language processing tasks, inspiring researchers to explore similar approaches for text-to-image synthesis. At the same time, diffusion models have become…
Nvidia AI Quietly Launches Nemotron 70B: Crushing OpenAI’s GPT-4 on Various Benchmarks
Current generative AI models face challenges related to robustness, accuracy, efficiency, cost, and handling nuanced human-like responses. There is a need for more scalable and efficient solutions that can deliver…
Analysis of Deceptive Data Attacks with Adversarial Machine Learning for Solar Photovoltaic Power Generation Forecasting
Photovoltaic energy, which uses solar panels to turn sunlight into electricity, is an important part of the shift to renewable energy. Deep learning-based prediction is critical for optimizing output, anticipating…
This AI Paper from Meta AI Highlights the Risks of Using Synthetic Data to Train Large Language Models
Machine learning focuses on developing models that can learn from large datasets to improve their predictions and decision-making abilities. One of the core areas of development within machine learning is…
Meet TurtleBench: A Unique AI Evaluation System for Evaluating Top Language Models via Real World Yes/No Puzzles
The need for efficient and trustworthy techniques to assess the performance of Large Language Models (LLMs) is increasing as these models are incorporated into more and more domains. When evaluating…