Artificial Intelligence
Ed Newton-Rex, former VP of Audio at Stability AI, has launched ‘Fairly Trained,’ a non-profit certifying generative AI companies for ethical training data practices, aiming to address concerns over data scraping and copyright infringement. The initiative has already certified nine companies and introduced the ‘Licensed Model certification’ to ensure ethical use of training data.
The StableRep model improves AI training by using synthetic imagery to generate diverse images from text prompts, addressing data collection challenges and offering more efficient and cost-effective training options.
The text discusses the potential risks and limitations of relying on external servers for AI applications. It introduces Jan as an open-source alternative that operates entirely offline, addressing privacy concerns. Jan is designed to run on various hardware setups, offering customization and seamless integration with compatible applications. With a commitment to open-source principles, Jan presents…
Machine learning in healthcare aims to revolutionize medical treatment by predicting tailored outcomes for individual patients. Traditional clinical trials often fail to represent diverse patient populations, hindering the development of effective treatments. Researchers are turning to machine learning algorithms to estimate personalized treatment effects, promising a future of personalized and effective healthcare.
Language models are increasingly used as dialogue agents in AI applications, facing challenges in customizing for specific tasks. A new self-talk methodology, introduced by researchers, involves two models engaging in self-generated conversations to streamline fine-tuning and generate a high-quality training dataset. This innovative approach enhances dialogue agents’ performance and opens new avenues for specialized AI…
OpenAI unveils a comprehensive strategy to counter misinformation during elections using advanced AI tools. The company aims to prevent misuse of its technology by blocking creation of deceptive chatbots and pausing its use in political campaigning. OpenAI plans to add digital watermarks to generated images for tracking. Collaboration with the National Association of Secretaries of…
FedTabDiff, a collaborative effort by researchers from University of St.Gallen, Deutsche Bundesbank, and International Computer Science Institute, introduces a method, leveraging Denoising Diffusion Probabilistic Models (DDPMs), to generate high-quality mixed-type tabular data without compromising privacy. It demonstrates exceptional performance in financial and medical datasets, addressing privacy concerns in AI applications.
AI systems are rapidly advancing in two categories: Predictive AI and Generative AI, demonstrated by Large Language Models. The NIST AI Risk Management Framework emphasizes the need for secure and reliable AI operations. A study by NIST Trustworthy and Responsible AI outlines a comprehensive taxonomy and strategies for controlling Adversarial Machine Learning (AML) attacks. Read…
Large language models have revolutionized natural language processing, with recent models like Tower catering to translation tasks in 10 languages. Developed by researchers at Unbabel, SARDINE Lab, and MICS Lab, Tower outperforms other open-source models and offers features like automatic post-editing and named-entity recognition. The researchers aim to release TowerEval for evaluating language models against…
A recent study examines the application of robotic-assisted joint replacement in revision knee situations. It evaluates the implant positions before and after revision surgeries using a state-of-the-art robotic arm system in a series of revision total knee arthroplasties (TKA).
Advancements in large language models (LLMs) have made interactive conversational AI in healthcare possible. Google DeepMind developed AMIE, an AI system designed to take medical histories and engage in diagnostic discussions, which outperformed primary care physicians in diagnostic accuracy and patient communication in a remote trial. The research aims to address limitations for real-world clinical…
Researchers from Columbia University have introduced hierarchical causal models to address causal questions in hierarchical data. This innovative method involves advanced algorithms, machine learning techniques, and hierarchical Bayesian models to enable rapid, accurate, and real-time data processing, demonstrating potential to transform data processing in contemporary data-rich environments. (50 words)
Researchers at NVIDIA and University of California, San Diego, have developed an innovative method for high-fidelity 3D geometry rendering in Generative Adversarial Networks (GANs). Based on SDF-based NeRF parametrization, the approach utilizes learning-based samplers to accelerate high-resolution neural rendering and demonstrates state-of-the-art 3D geometric quality on FFHQ and AFHQ datasets. Despite commendable achievements, limitations include…
Australia is considering mandatory guardrails for AI in high-risk settings following public concerns. Minister Husic emphasized the need to identify and address AI risks. Proposals include mandatory safeguards and bans for certain AI applications. Although some support voluntary regulations, others criticize the lack of concrete steps and suggest they may hinder AI development’s economic potential.
This text discusses the rise of artificial intelligence (AI) and the evolving AI regulations in China for 2024. The government is expected to release a comprehensive AI law, create a “negative list” for AI companies, introduce third-party evaluations for AI models, and adopt a lenient approach to copyright issues. Additionally, updates on Chinese tech developments…
Microsoft has introduced Copilot Pro, a $20/month service that includes GPT-4 Turbo in Microsoft Office 365 apps. It competes with OpenAI’s ChatGPT Plus while offering integrated functionality in Word, Excel, PowerPoint, Outlook, and OneNote. Pro users gain priority access, 100 daily boost credits, and Copilot GPTs. This may impact ChatGPT Plus subscriptions.
Reinforcement learning from Human Feedback (RLHF) is essential for aligning language models with human values. Challenges arise due to limitations of reward models, incorrect preferences in datasets, and limited generalization. Novel methods proposed by researchers address these issues, with promising results in diverse datasets. Exploration of RLHF in translation shows potential for future research. For…
InseRF, a new AI method developed by researchers at ETH Zurich and Google, addresses the challenge of seamlessly inserting objects into pre-existing 3D scenes. It utilizes textual descriptions and single-view 2D bounding boxes to enable consistent object insertion across various viewpoints and enhance scenes with human-like creativity. InseRF’s innovation democratizes 3D scene enhancement, promising impactful…
Continue is an open-source autopilot designed for popular Integrated Development Environments, aimed at streamlining the coding experience by integrating powerful language models like GPT-4 and Code Llama. Its non-destructive approach gives developers control over proposed edits, and its collaborative features make interaction with language models more intuitive. With impressive metrics, Continue appears poised to revolutionize…
A study involving 335 Gen Z users on a STEM education Discord server found that they struggled to differentiate between AI-generated and human-authored text. Even those with more AI experience performed poorly, indicating vulnerability to AI misinformation. As maturity increased, so did the ability to discern AI content, highlighting the susceptibility of younger internet users.