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Can Chat GPT Play chess?
A Multi-Strategy AI with Deep Reinforcement Learning has achieved victory over GPT3.5 in a Chess Match. For more details, please visit Towards Data Science.
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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas
The text outlines the challenges faced by industries without real-time forecasts and introduces the integration of MongoDB’s time series data management capabilities with Amazon SageMaker Canvas for overcoming these challenges. It details the solution architecture, prerequisites, and step-by-step processes for setting up the solution using MongoDB Atlas and Amazon SageMaker Canvas. The post concludes with…
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Stacked Ensembles for Advanced Predictive Modeling With H2O.ai and Optuna
The text describes the concept and process of building stacked ensembles in machine learning using H2O.ai and Optuna. The author outlines the steps involved in training a stacked ensemble, including the training of base models such as Deep Neural Networks, XGBoost, and LightGBM, and subsequently training the meta-model using H2OStackedEnsembleEstimator. The summary provides an in-depth…
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Artificial Bee Colony — How it differs from PSO
The text discusses the comparison between intuition and code implementation for ABC with Particle Swarm Optimization to identify its superior performance. For more information, please visit Towards Data Science.
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General World Models: Runway AI Research Starting a New Long-Term Research Effort
World models are AI systems aiming to understand and predict events in an environment. The Gen-2 video generative system is an early attempt but struggles with complex tasks. Challenges include creating accurate environment maps and simulating human behavior. Researchers work to improve adaptability and capabilities through metrics, with the goal of better simulating real-world scenarios.
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This AI Paper Proposes COLMAP-Free 3D Gaussian Splatting (CF3DGS) for Novel View Synthesis without known Camera Parameters
A new method called COLMAP-Free 3D Gaussian Splatting (CF-3DGS) has been introduced by researchers from UC San Diego, NVIDIA, and UC Berkeley. It synthesizes views using video’s temporal continuity and explicit point cloud representation without the need for Structure-from-Motion (SfM) preprocessing. CF-3DGS optimizes camera pose and 3DGS jointly, making it suitable for video streams or…
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Google Deepmind Research Introduces FunSearch: A New Artificial Intelligence Method to Search for New Solutions in Mathematics and Computer Science
Some LLMs may produce inaccurate responses due to hallucinations. Google DeepMind researchers propose FunSearch, a method to address this issue. It combines a pre-trained LLM with an evaluator to discover new knowledge by evolving low-scoring programs into high-scoring ones. This iterative process has significant potential for real-world applications and aims to expand functionalities to tackle…
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Pennsylvania candidate first to use AI robot to call voters
Pennsylvania congressional candidate Shamaine Daniels is utilizing an AI robocaller, Ashley, to communicate with prospective voters in multiple languages. Ashley allows for two-way communication, answering questions about Daniels’ campaign and policies. The use of AI in political outreach raises questions about regulation and accountability, as AI technology continues to advance rapidly.
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OpenAI releases first results from Superalignment project
OpenAI’s Superalignment project aims to prepare for the possibility of AI smarter than humans in 10 years. The team’s experiment using GPT-2 to train GPT-4 showed weaker models can guide stronger ones, but also limit their performance. OpenAI seeks solutions to supervising potential superintelligent AI to avoid adverse outcomes. This project involves significant resources and…
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List of Artificial Intelligence Models for Medical Landscape (2023)
Artificial intelligence has made significant strides in 2023, particularly in the medical field. Some notable models include Med-PaLM 2, Bioformer, MedLM, RoseTTAFold, AlphaFold, and ChatGLM-6B. These models show promise in transforming medical processes, from providing high-quality medical answers to predicting protein structures. Researchers continue to assess and fine-tune these models for safe deployment in critical…