Progressive Conditional Diffusion Models (PCDMs) have been introduced by Tencent AI Lab to address the challenges in pose-guided person image synthesis. PCDMs consist of three stages: predicting global features, establishing dense correspondences, and refining images. The method effectively aligns source and target images at multiple levels, producing high-quality and realistic results. It also demonstrates improved…
This article discusses three key questions for junior data scientists to consider when thinking about their future careers. The first question is whether they want to be an individual contributor, a manager, or a combination of both. The second question is whether they want to specialize in areas like machine learning, decision science, or analytics…
Researchers from JPMorgan Chase & Co. conducted an experiment using OpenAI’s GPT-4 model to determine if it could pass the CFA exam. They found that ChatGPT would likely not be able to pass the CFA Levels I and II, while GPT-4 had a decent chance with appropriate prompting. Both models faced challenges with Level II.…
On day two of the AI Safety Summit, UK Prime Minister Rishi Sunak announced that industry leaders such as Meta, Google Deep Mind, and OpenAI have agreed to allow government evaluation of their AI tools before market launch. The summit also established the AI Safety Institute and unveiled a forthcoming “state of AI science” report…
Large language models (LLMs) are being used more frequently as conversational systems, leading to increased reliance on them for answers. To understand how these models respond to questions about ongoing debates, we need datasets with human-annotated labels reflecting contemporary discussions. To address this, we propose a new way of creating a dataset for controversial questions.
Stanford University researchers have introduced EquivAct, a visuomotor policy learning approach that enables robots to generalize tasks across different scales and orientations. The proposed method incorporates equivariance into the visual object representation and policy architecture to ensure robustness across variations in object placements, orientations, and sizes. By using SIM(3)-equivariant network architectures, the learnt policy can…
Researchers from the Universities of Oxford, Münster, Heidelberg, and Exeter have developed innovative photonic-electronic hardware capable of handling three-dimensional (3D) data. This breakthrough significantly enhances the parallelism of data processing for artificial intelligence (AI) tasks. By using radio-frequency modulation, wavelength multiplexing, and non-volatile memories, the team achieved a high level of parallelism, surpassing previous accomplishments.…
Amazon SageMaker Canvas now supports deploying ML models to real-time inferencing endpoints, eliminating the need for manual export, configuration, testing, and deployment. This feature enables users to easily consume model predictions and drive actions outside of the SageMaker Canvas workspace. The process of deploying a model in SageMaker Canvas to a real-time endpoint is explained…
Teachers and students can use a generative AI solution to create course materials and learn English words and sentences. The solution provides real-time assessments and personalized feedback for students. Teachers can generate questions and answers, create images, save assignments to a database, and browse existing assignments. Students can select assignments, answer questions, check grading scores,…
CQuotient, a software startup founded by Rama Ramakrishnan, offers personalized recommendations for retailers by diligently noting down customer interactions. The software has been adopted by Salesforce. Ramakrishnan, now a professor at MIT Sloan, teaches students how to apply AI technologies pragmatically. He also guides senior executives in using pre-trained AI models and understanding different categories…
The potential for AI systems to revolutionize manufacturing is discussed by Ritu Jyoti, global AI research lead at IDC. Windmill manufacturers have employed AI to improve their processes, using digital twins and machine learning to simulate and implement enhancements. The manufacturing sector is urged to embrace AI to enhance efficiency, safety, and sustainability. However, a…
Stability AI has unveiled new additions to its text-to-image products, including Sky Replacer, Stable 3D, and Stable FineTuning. Sky Replacer allows users to replace the sky in a photograph with preset templates, while Stable 3D generates concept-quality textured 3D objects based on text or images. Stable FineTuning enables customization of pictures, objects, and styles. The…
GlotLID-M is a Language Identification (LID) model that supports 1665 languages, including low-resource languages. It addresses challenges such as inaccurate corpus metadata, leakage from high-resource languages, difficulty distinguishing closely related languages, macrolanguage vs. varieties handling, and handling noisy data. GlotLID-M outperformed several baseline models in terms of accuracy and can be easily incorporated into datasets.
This week’s Variable highlights recent articles from the Tips & Tricks column of Towards Data Science. The articles offer actionable advice for data scientists to save time and produce better results in their projects. Topics include streamlining repetitive tasks in data analysis, using Pydantic V2 for data validation, common index-related operations in Pandas, color usage…
A new cloud observability platform called Middleware.io has been introduced to address the need for efficient troubleshooting and issue management in cloud-native applications. Leveraging AI-driven anomaly detection and resolution, the platform offers real-time monitoring, predictive capabilities, and a user-friendly dashboard. With its recent seed funding, Middleware.io is poised for expansion and further AI development, promising…
Enhanced Data Exchange and Storage Capabilities. We are excited to present to you the latest update of Sales Bot! In this release, we have focused on improving the user experience and adding new features that we are confident you will appreciate. Here are some of the key features available in this update: Data Exchange Capability:…
Researchers from Northeastern University have discovered a neural mechanism in autoregressive transformer language models called function vectors (FVs). These FVs capture input-output functions and remain consistent across different contexts, allowing for task execution in zero-shot and natural text settings. The study demonstrates the potential of FVs for general-purpose functions in language models. Further research is…
Researchers at UC San Diego have introduced TD-MPC2, an expansion of the TD-MPC family of model-based RL algorithms, to address challenges faced by generalist embodied agents. TD-MPC2 performs local trajectory optimization in the latent space of a trained implicit world model, exhibits algorithmic robustness, and supports datasets with multiple embodiments and action spaces. It outperforms…
A new study by NVIDIA and Georgia Institute of Technology introduces Human-in-the-Loop Task and Motion Planning (HITL-TAMP), a system that combines task and motion planning with human teleoperation to teach robots complex manipulation skills. The system improves data collection efficiency and reduces the effort needed to train robots. HITL-TAMP outperformed a standard teleoperation system in…
Google has introduced a new grammar correction feature in its search engine called EdiT5. This feature addresses the challenges of complex grammatical error correction by using a text editing approach. It reduces latency by minimizing decoding steps and processing only the necessary tokens. EdiT5 achieves impressive results with a mean latency of 4.1 milliseconds and…