Artificial intelligence (AI) email assistants help users manage their inboxes more efficiently. They offer features like automatic task completion, message prioritization, and prompt responses. These AI assistants are beneficial for professionals with busy schedules, entrepreneurs, and students. Some popular AI email assistants include SaneBox, InboxPro, Lavender, Missive, Superflows, Superhuman, Scribbly, Tugan, AI Mailer, Nanonets, Flowrite,…
Researchers have introduced the Davidsonian Scene Graph (DSG), an automatic question generation and answering framework to evaluate text-to-image (T2I) models. DSG generates contextually relevant questions in dependency graphs for better semantic coverage and consistent answers. Experimental results demonstrate the effectiveness of DSG on various model configurations. The study emphasizes the need for further research into…
IBM has launched the Watsonx Code Assistant, an AI-powered tool that aims to help developers code quickly and accurately. The Code Assistant offers two models, one for IT automation and another for mainframe application modernization. It runs on IBM’s Watsonx platform, known for its security and compliance features. IBM Consulting is available to assist clients…
Large Language Models (LLMs) like GPT-3 have revolutionized Natural Language Processing. They demonstrate exceptional language recognition and excel in various areas such as reasoning, visual comprehension, and code development. LLMs possess broad understanding and can handle inputs and outputs beyond language. Researchers have proposed LLaRP, an approach using pre-trained LLMs to act as generalizable policies…
The article emphasizes the importance of using AI to support and enhance UX skills rather than replacing them. It states that UX work can be greatly improved through the appropriate use of AI. The post received over 40 responses with helpful advice from the UX community. The article offers current recommendations and resources, but advises…
This article explores the use of user-interface design software for building high-fidelity interactive UX maps. It explains that interactive maps are best for showcasing specific user quotes and actions. The article also discusses the advantages and disadvantages of using interactive maps.
CuPL, also known as Customized Prompts via Language models, is a topic that can be explored further in Towards Data Science.
QML is being utilized to combine machine learning and particle physics in a fun application.
This article discusses the process of fine tuning language models for Named Entity Recognition. It can be found on Towards Data Science.
TRL (Transformer Reinforcement Learning) is a full-stack library that allows researchers to train transformer language models and stable diffusion models with reinforcement learning. It includes tools such as SFT (Supervised Fine-tuning), RM (Reward Modeling), and PPO (Proximal Policy Optimization). TRL improves the efficiency, adaptability, and robustness of transformer language models for tasks like text generation,…
Researchers at the Institute for Assured Autonomy propose advanced AI techniques and simulation environments to ensure safety in the expanding field of unmanned aircraft systems.
According to a new study, integrating AI into the business sector is proving to be lucrative. While business adoption has been slower than predicted, 71% of surveyed companies are implementing AI. AI projects are completed in less than a year, with businesses seeing an average return of $3.50 for every dollar spent on AI. Lack…
Elon Musk’s startup xAI will release its first AI products on November 4th to a select group. Musk claims that in “important respects,” xAI surpasses all existing AI. xAI aims to understand the true nature of the universe and collaborate with X, Tesla, and other entities. Its team includes researchers from companies like DeepMind and…
Microsoft researchers have introduced a novel framework called the “Large Search Model” (LSM) that aims to revolutionize online search engines. By combining multiple components, the LSM utilizes Large Language Models (LLMs) to improve search results. The model can be customized for different search tasks using natural language prompts and can adapt to specific situations. The…
Woodpecker is a new AI framework developed by Chinese researchers to address hallucinations in Multimodal Large Language Models (MLLMs). It offers a training-free alternative to mitigate inaccuracies in text descriptions generated by MLLMs. The framework consists of five stages, emphasizing transparency and interpretability. Woodpecker significantly improves accuracy and performance over baseline models in benchmark evaluations,…
The UK government plans to invest £225 million (or $273 million) to build its most powerful AI supercomputer, Isambard-AI. The supercomputer, named after Isambard Brunel, will be built by The University of Bristol with the help of Hewlett Packard. Isambard-AI will deliver over 200 petaFLOPS of double-precision performance and will be used in fields like…
During an “in conversation” event at the Business Connect Summit, UK Prime Minister Rishi Sunak and Tesla CEO Elon Musk discussed the future of artificial intelligence (AI) and its impact on society. Musk stated that AI could eliminate the need for human work, allowing people to choose work based on personal fulfillment. They also talked…
This week’s AI news roundup includes highlights such as the UK AI Safety Summit, the release of President Biden’s executive order on AI, the potential for unregulated AI development on the high seas, and Big Tech’s role in defining AI safety standards. Other topics covered are the Western-centric nature of AI datasets, the impact of…
NASA has released a ChatGPT SuperPrompt called BIDARA to guide engineers through the biomimicry design process. The process involves defining the problem, finding the equivalent challenge in nature, discovering natural models, abstracting design strategies, and emulating nature’s lessons. BIDARA is complemented by NASA’s open-source platform called PeTaL, which utilizes AI to explore biology for human…
UC San Diego researchers have developed a new framework called DYffusion for spatiotemporal forecasting using a diffusion model. The framework incorporates a temporal inductive bias to reduce learning times and memory requirements. It produces accurate probabilistic ensemble predictions for high-dimensional data and outperforms traditional Gaussian diffusion models. The researchers also compare the computational requirements and…