NYU researchers have developed an “interpretable-by-design” machine learning model for understanding RNA splicing. While traditional machine learning models struggle with interpretability, this model not only provides accurate predictions but also explains the underlying biological processes. It achieves this by utilizing sequence and structure filters, assigning quantitative strengths to these filters, and introducing visualization tools. This…
A research team has developed a comprehensive set of metrics to evaluate the performance of deep generative models (DGMs) in engineering design. These metrics address aspects such as design constraints, diversity, novelty, and target achievement, providing a more holistic understanding of the capabilities and limitations of DGMs. The integration of these metrics allows for the…
Global payment leader Mastercard has partnered with crypto payment platform MoonPay to leverage Web3 tools for improved marketing and customer engagement. The collaboration was announced at the Money20/20 event in Las Vegas, with both companies expressing enthusiasm for creating enhanced experiences using Web3. Mastercard has been actively exploring Web3 initiatives and previously collaborated with companies…
Recent advancements in human action recognition have facilitated significant breakthroughs in Human-Robot Interaction (HRI). To achieve better action segmentation models, a team of researchers proposed a novel learning technique that maximizes the likelihood of action union for unlabeled frames. They also introduced a refining method during inference to enhance the accuracy of action labels. These…
Researchers have developed an algorithm called EUREKA that uses advanced LLMs, such as GPT-4, to create reward functions for complex skill acquisition through reinforcement learning. EUREKA outperforms human-engineered rewards and enables in-context learning based on human feedback. This breakthrough opens up possibilities for LLM-powered skill acquisition, as demonstrated by a simulated Shadow Hand mastering pen…
Google has invested $2 billion in Anthropic, an AI startup, making it a major contender in the industry alongside established players like OpenAI. The funding deal includes an immediate $500 million, with a potential commitment of up to $1.5 billion later. Anthropic aims to challenge OpenAI with its enterprise-focused approach and its development of a…
The rise of deep fakes poses a significant challenge for the AI industry. In 2023, there has been an influx of deep fake images and voice recordings, including fake news related to the Israel-Hamas conflict. The prevalence of AI-generated fakes has led to doubts about the authenticity of real content. The issue lies in the…
The article discusses how to start a successful home service business, using the example of a pool cleaning service. The authors share their framework, which involves choosing a service, learning the necessary skills, finding customers through Next Door app, using text messaging to convert leads, scaling with Google Ads, and eventually hiring and scaling the…
Scientists have discovered a potential treatment for osteoporosis by reprogramming bone marrow cells using deep learning algorithms. They found that administering dihydroartemisinin (DHA), a derivative of a malaria treatment component, reduced bone loss in mice and encouraged the production of bone-building cells. This breakthrough offers hope for developing a therapeutic agent to address the root…
The text provides an insight into the Lagrangian function and its application in constrained optimization problems. It explains how the Lagrangian function is used to incorporate constraints into optimization and introduces the Karush-Kuhn-Tucker (KKT) conditions for optimality. The text also discusses the application of constrained optimization in Support Vector Machines (SVM).
The article discusses prompt engineering techniques and introduces the concept of prompt architecture for interacting with Large Language Models (LLMs). It highlights the importance of specific prompts and explores different prompt architectures such as role prompting, chain of thought prompting, self-consistency prompting, step-back prompting, and chain of verification prompting. The article also suggests choosing the…
The article discusses the use of 3D content production in the metaverse age and the challenges faced by designers in the 3D modeling process. It introduces 3D-GPT, a framework designed to facilitate instruction-driven 3D content synthesis using Large Language Models (LLMs). The framework empowers LLMs to act as problem-solving agents and provides accurate and customizable…
Digital colonialism refers to the dominance of tech giants and powerful entities over the digital landscape, influencing the flow of information, knowledge, and culture. This has implications for AI, as it reflects the data it’s trained on. Biases in datasets and language representation pose challenges to creating truly inclusive and representative AI models. Additionally, exploitative…
Character-LLM is a trainable agent designed to simulate specific individuals, such as Beethoven, Queen Cleopatra, and Julius Caesar, by editing profiles and training models. Researchers in China introduced a training framework involving Experience Reconstruction, Upload, and Protective Experiences to train these simulacra. The evaluation involved interviewing the trained agents in a test playground to assess…
A group of researchers from Meta has introduced a new framework called GenBench, which aims to enhance generalization in Natural Language Processing (NLP) models. GenBench includes a taxonomy to categorize NLP generalization research, a meta-analysis of related papers, evaluation tools, and cards. The framework allows for better model evaluation and development, improving the resilience and…
Researchers at McMaster University have developed online machine learning models to predict wastewater influent flow rates, particularly during the COVID-19 pandemic. The models outperformed conventional batch learning models in terms of accuracy, exhibiting high R2 values and low errors. The team believes these models can provide reliable decision support for wastewater operators in coping with…
Researchers at Northwestern University have developed a machine learning framework using mixed-kernel transistors based on dual-gated van der Waals heterojunctions for off-grid medical data classification and diagnosis, specifically for electrocardiogram (ECG) interpretation. The solution offers a more energy-efficient and practical approach compared to traditional methods, addressing the challenges of power consumption and complexity. The paper…
Google Sheets has introduced a new feature called “Smart Fill” that uses AI technology to automate data entry and processing tasks. Smart Fill can detect relationships between columns and predict the values users want to enter, potentially saving hours of manual labor. Early users have reported significant time savings and increased accuracy. With its versatility…
Google has agreed to invest $2 billion in Anthropic, a rising star in the AI industry. The investment will be made in the form of a convertible note, similar to a deal Amazon made earlier this year. Google’s parent company, Alphabet, will provide an initial $500 million with a promise to add another $1.5 billion…
GPT-4V-Act is a new multimodal AI assistant that combines GPT-4V(ision) with a web browser. It can analyze user interface screenshots, offer pixel coordinates for mouse and keyboard guidance, make posts on Reddit, conduct product searches, and start the checkout process. GPT-4V-Act aims to improve usability, automate workflows, and enable automated UI testing. The project is…