Artificial Intelligence
The EU AI Act Summit 2024, held in London on February 6, 2024, focuses on the groundbreaking EU AI Act, offering practical guidance for stakeholders. The Act introduces comprehensive AI regulations, categorized by risk levels, and revolving around compliance responsibilities and opportunities for the industry. The summit features notable speakers, sessions, and registration discounts. Visit…
The spread of explicit and fake AI-generated images of Taylor Swift on social media platform X has raised concerns about the challenge of controlling such content online. Despite platform rules, the images spread widely, leading to potential legal action by Swift and criticism of X’s response. Fans have used hashtags to share real content in…
Tensoic introduced Kannada Llama (Kan-LLaMA), aiming to overcome limitations of language models (LLMs) by emphasizing the importance of open models for natural language processing and machine translation. The paper presents the solution for enhancing efficiency of Llama-2 vocabulary for processing Kannada texts through low-level optimization, dataset pretraining, and collaboration for broader accessibility.
The post highlights the best ChatGPT alternatives and their key features. It covers GitHub Copilot’s code automation, Writesonic’s content marketing bots, Claude AI’s contextual writing, Perplexity AI’s research capabilities, Microsoft Copilot’s Microsoft 365 integration, and Poe AI’s diverse AI models. Each alternative’s pricing, best use, and unique features are outlined to aid in selecting a…
The recent RAND report concludes that current Large Language Models (LLMs) do not significantly increase the risk of a biological attack by non-state actors. Their research, conducted through a red-team exercise, found no substantial difference in the viability of plans generated with or without LLM assistance. However, the study emphasized the need for further research…
The latest advancement in AI, Large Language Models (LLMs), has shown great language production improvement but faces increased inference latency due to model size. To address this, researchers developed MEDUSA, a method that enhances LLM inference efficiency by adding multiple decoding heads. MEDUSA offers lossless inference acceleration and improved prediction accuracy for LLMs.
This week’s AI news highlights AI excelling in math tests and stirring debate about fake truths. Google unveiled its text-to-video model, while OpenAI ventured into education and faced criticism for data practices. Other developments include legal regulations for AI hiring and Samsung’s collaboration with Google in AI-rich mobile phones. Meanwhile, AI’s impact on healthcare and…
Significant progress has been made in utilizing Large Language Models like GPT-4 and Llama 2 in Artificial Intelligence, showing potential for various sectors. While challenges persist in integrating AI into agriculture due to limited specialized training data, the introduction of a pioneering pipeline by Microsoft researchers, combining Retrieval-Augmented Generation (RAG) and fine-tuning methods, has notably…
The text discusses challenges in model-based reinforcement learning (MBRL) due to imperfect dynamics models. It introduces COPlanner, an innovation using uncertainty-aware policy-guided model predictive control (UP-MPC) to address these challenges. Through comparisons and performance evaluations, COPlanner is shown to substantially improve sample efficiency and asymptotic performance in handling complex tasks, advancing the understanding and practical…
Background Oriented Schlieren (BOS) imaging is an effective, low-cost method for visualizing fluid flow. A new approach using Physics-Informed Neural Networks (PINNs) has been developed to accurately deduce complete 3D velocity and pressure fields from Tomo-BOS imaging, showing promise for experimental fluid mechanics. The versatility and potential of this method suggest advancements in fluid dynamics.
RAGxplorer is an interactive AI tool that visualizes document chunks and queries in a high-dimensional space, supporting the understanding and improvement of retrieval augmented generation (RAG) applications. Its unique approach provides an interactive map of the document’s semantic landscape, allowing users to assess RAG model comprehension, identify biases, and enhance overall comprehension.
Text-to-image diffusion models have revolutionized AI image generation, simulating human creativity. Orthogonal Finetuning enhances control over these models, maintaining semantic generation ability. It enables subject-driven image generation, improves efficiency, and has applications in digital art, advertising, gaming, education, automotive, and medical research. Challenges include scalability and parameter efficiency. This breakthrough heralds a new era in…
Scientists face a challenge in understanding the unique composition of cells, notably peptide sequences, crucial for personalized treatments, such as immunotherapy. Traditional methods create gaps in sequencing, hindering accuracy. However, GraphNovo, a new program developed by researchers at the University of Waterloo, utilizes machine learning to significantly enhance accuracy, offering promising potential for personalized medicine…
Recent advancements in language models have led to the development of semi-autonomous agents like WebGPT, AutoGPT, and ChatGPT plugins for real-world use. However, the transition from text interactions to real-world actions brings risks. To address this, a new framework called ToolEmu utilizes language models to simulate tool executions and evaluate risks, aiming to enhance agent…
Recent advancements in machine learning show potential in understanding Theory of Mind (ToM), crucial for human-like social intelligence in machines. MIT and Harvard introduced a Multimodal Theory of Mind Question Answering (MMToMQA) benchmark, assessing machine ToM on both multimodal and unimodal data types related to household activities. A novel method called BIP-ALM integrates Bayesian inverse…
Summary: The company is introducing new embedding models, GPT-4 Turbo, moderation models, and API usage management tools. Additionally, they plan to lower pricing for GPT-3.5 Turbo in the near future.
OpenAI, initially transparent, now withholds key documents and adopts a for-profit model, drawing concern about departing from its open collaboration and public research promises. Significant investment from Microsoft transformed OpenAI and triggered leadership controversies. The company’s transition and restricted transparency reflect a departure from its original ethos.
The development of Large Language Models (LLMs), such as GPT, raises concerns about the storage and disclosure of sensitive information. Current research focuses on strategies to erase such data from models, with methods involving direct modifications to model weights. However, recent findings indicate limitations in these approaches, highlighting the ongoing challenge of fully removing sensitive…
North Korea’s increasing foray into AI and ML is highlighted in a report by Hyuk Kim from the James Martin Center for Nonproliferation Studies. It delves into the nation’s historic AI achievements, current developments, and the dual-use potential of AI in civilian and military applications, as well as highlighting its cybersecurity threats.
Coscientist is an advanced AI lab partner that autonomously plans and executes chemistry experiments, showcasing rapid learning and proficiency in chemical reasoning, utilization of technical documents, and adept self-correction.