The researchers from Columbia University and Apple have developed Ferret, a multimodal large language model (MLLM) that combines referencing and grounding for improved image understanding and description. Ferret uses a hybrid region representation and a spatial-aware visual sampler to handle a variety of regional forms and can handle input that combines free-form text and referenced…
Joy Buolamwini, a prominent AI researcher and activist, calls for a radical rethink of AI systems, highlighting the unethical practices of many AI companies. She emphasizes the need for rigorous testing and auditing of AI systems before deployment to avoid harmful consequences. Buolamwini also shares her personal journey of becoming an accidental activist and the…
Microsoft exceeded Wall Street’s Q1 financial projections across all sectors, driven by cloud computing and the Windows operating system. The company’s revenue also surpassed analysts’ expectations, largely due to the anticipation of the release of Microsoft 365 Copilot, a suite of AI tools developed in collaboration with OpenAI. Azure’s revenue grew by 29%, outperforming projections.…
OpenAI has established a team called “Preparedness” to address the potential risks associated with AI. The team will evaluate current and future AI models for risks such as tailored persuasion, cybersecurity threats, autonomous replication, and even existential threats like chemical, biological, and nuclear attacks. OpenAI believes that while advanced AI models can benefit humanity, they…
The author discusses how to succeed in your first data role. They emphasize the importance of becoming comfortable with workflow and data structure, mastering the company’s toolbox, learning the business, sharpening your skills, and becoming self-sufficient. They suggest practicing unused skills, creating personal projects, and managing projects from start to end. In a year or…
GROOT is a new imitation learning technique developed by researchers at The University of Texas at Austin and Sony AI. It addresses the challenge of enabling robots to perform well in real-world settings with changing backgrounds, camera viewpoints, and object instances. GROOT focuses on building object-centric 3D representations and uses a transformer-based strategy to reason…
MLCommons has formed the AI Safety Working Group (AIS) to develop benchmarks for AI safety. Currently, there is no standardized benchmark to compare the safety of different AI models. AIS will build upon the Holistic Evaluation of Language Models (HELM) framework developed by Stanford University to create safety benchmarks for large language models. Several prominent…
AutoMix is an innovative approach to allocating queries to language models (LLMs) based on the correctness of responses. It uses context and self-verification to ensure accuracy, and can switch between different models. AutoMix enhances performance and computational cost in language processing tasks and demonstrates promising capabilities for future research and application.
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…