Sat.Dec 09, 2023

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8 GitHub Alternatives for Data Science Projects

Analytics Vidhya

Introduction Ae you ready to break free from the GitHub cage? While GitHub has long been the trusted companion for code management, it’s time to explore the vast landscape of alternative platforms designed specifically for the unique needs of data science projects. Key features of these platforms are that the large datasets are handled with […] The post 8 GitHub Alternatives for Data Science Projects appeared first on Analytics Vidhya.

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System of intelligence — generative AI at the app layer

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As generative AI shapes the next generation of application products, we can expect even more sweeping evolution. © 2023 TechCrunch. All rights reserved. For personal use only.

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Recent Anthropic Research Tells that You can Increase LLMs Recall Capacity by 70% with a Single Addition to Your Prompt: Unleashing the Power of Claude 2.1 through Strategic Prompting

Marktechpost

This research tackles an inherent challenge in Claude 2.1 ‘s functionality: its reluctance to answer questions based on individual sentences within its extensive 200K token context window. This hesitancy poses a significant hurdle in maximizing the model’s recall capacity, prompting the exploration of a solution. Examining current methods reveals Claude 2.1’s hesitation when confronted with questions about individual sentences, especially those deemed out of place.

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The most popular TED Talks of 2023 | TED Talks

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From AI and the future of learning to a mysterious, millennia-old pattern and a radical way to repair your relationships, these TED Talks took off the quickest in 2023.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Researchers from MIT and ETH Zurich Developed a Machine-Learning Technique for Enhanced Mixed Integer Linear Programs (MILP) Solving Through Dynamic Separator Selection

Marktechpost

Efficiently tackling complex optimization problems, ranging from global package routing to power grid management, has been a persistent challenge. Traditional methods, notably mixed-integer linear programming (MILP) solvers, have been the go-to tools for breaking down intricate problems. However, their drawback lies in the computational intensity, often leading to suboptimal solutions or extensive solving times.

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This AI Research Unveils Alpha-CLIP: Elevating Multimodal Image Analysis with Targeted Attention and Enhanced Control”

Marktechpost

How can we improve CLIP for more focused and controlled image understanding and editing? Researchers from Shanghai Jiao Tong University, Fudan University, The Chinese University of Hong Kong, Shanghai AI Laboratory, University of Macau, and MThreads Inc. propose Alpha-CLIP that aims to address the limitations of Contrastive Language-Image Pretraining (CLIP) by enhancing its capabilities in recognizing specified regions defined by points, strokes, or masks.

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ChatGPT with Voice made me forget I was talking to an AI

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Hopping on a phone call with ChatGPT for the first time can be a terrifying experience. Calvin WankhedeOpinion Post Imagine this: you’re walking down the street wearing earbuds with your phone locked away in a pocket.

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Google AI Research Proposes TRICE: A New Machine Learning Algorithm for Tuning LLMs to be Better at Solving Question-Answering Tasks Using Chain-of-Thought (CoT) Prompting

Marktechpost

The team of researchers from Google developed a new fine-tuning strategy to address the challenge of generating correct answers using LLMs. The strategy, called chain-of-thought (CoT) fine-tuning, optimizes the average log-likelihood of correct answers and aims to maximize the marginal log-likelihood of generating accurate responses, ultimately improving the overall performance of LLMs.

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AI can predict intimate partner femicide from variables extracted from legal documents

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In a new study published in Scientific Reports, researchers have utilized artificial intelligence to distinguish between lethal and non-lethal violence against women in intimate relationships. This innovative approach has shown promising results in predicting the likelihood of severe outcomes in such relationships.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Meta AI Presents EfficientSAM: SAM’s Little Brother with 20x Fewer Parameters and 20x Faster Runtime

Marktechpost

In vision, the Segment Anything Model (SAM) has achieved remarkable success, attaining cutting-edge results in numerous image segmentation tasks, including zero-shot object proposal generation, zero-shot instance segmentation, and edge detection, among other practical uses. The SA-1B visual dataset, which contains over a billion masks from eleven million photos, is the foundation of SAM’s Vision Transformer (ViT) model.

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Unleashing the Power of Google Bard for Accelerated Learning

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In the realm of artificial intelligence, large language models (LLMs) like Google Bard and ChatGPT have emerged as powerful tools capable of …

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This AI Research from The University of Hong Kong and Alibaba Group Unveils ‘LivePhoto’: A Leap Forward in Text-Controlled Video Animation and Motion Intensity Customization

Marktechpost

The researchers from The University of Hong Kong, Alibaba Group, and Ant Group developed LivePhoto to solve the issue of temporal motions being overlooked in current text-to-video generation studies. LivePhoto enables users to animate images with text descriptions while reducing ambiguity in text-to-motion mapping. The study addresses limitations in existing image animation methods by presenting LivePhoto, a practical system enabling users to animate images with text descriptions.

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How to build AI apps visually with no coding required using Ironclad Rivet

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In the rapidly evolving world of artificial intelligence (AI), the ability to quickly and efficiently prototype AI applications is more important than …

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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How Old Is the Earth?

Extreme Tech

Few topics have been as contentious among both scientists and laypeople as the age of the Earth. How old is Earth, and how did scientists arrive at that number?

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Machine learning algorithm predicts DOGE price for Xmas

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With Christmas Day approaching, investors are closely monitoring specific cryptocurrencies to gauge their performance during the season, even as the …

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Researchers from MIT and FAIR Meta Unveil RCG (Representation-Conditioned Image Generation): A Groundbreaking AI Framework in Class-Unconditional Image Generation

Marktechpost

How can high-quality images be generated without relying on human annotations? This paper from MIT CSAIL and FAIR Meta has addressed the challenge of generating high-quality images without relying on human annotations. They have introduced a novel framework called Representation-Conditioned Image Generation (RCG) that utilizes a self-supervised representation distribution obtained from the image distribution through a pre-trained encoder.

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AI in Medical Research and Its Growing Impact - A comparative Study | Cryptopolitan

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The landscape of medical research is witnessing a significant transformation with the advent of generative AI technologies. As these tools gain traction in the academic community, their reliability and efficiency become crucial topics of discussion. A recent study by Professor Masaru Enomoto and his team at Osaka Metropolitan University sheds light on this evolving scenario.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Columbia and Google Researchers Introduce ‘ReconFusion’: An Artificial Intelligence Method for Efficient 3D Reconstruction with Minimal Images

Marktechpost

How can high-quality 3D reconstructions be achieved from a limited number of images? A team of researchers from Columbia University and Google introduced ‘ReconFusion,’ An artificial intelligence method that solves the problem of limited input views when reconstructing 3D scenes from images. It addresses issues such as artifacts and catastrophic failures in reconstruction, providing robustness even with a small number of input views.

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This startup is solving the biggest problem to creating drugs that work

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Lab-grown human tissues could revolutionize drug development. This AI-powered robot can create and test 10,000 of them at once.

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This AI Paper from Google and UC Berkeley Introduces NeRFiller: An Artificial Intelligence Approach that Revolutionizes 3D Scene Reconstruction Using 2D Inpainting Diffusion Models

Marktechpost

How can missing portions of a 3D capture be effectively completed? This research paper from Google Research and UC Berkeley introduces “NeRFiller,” a novel approach for 3D inpainting, which addresses the challenge of reconstructing incomplete 3D scenes or objects often missing due to reconstruction failures or lack of observations. This approach allows precise and customizable scene completions by controlling the inpainting process through reference examples.

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How to clone your voice using AI and why you would want to

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Do you have a written book that you would like to transform into an audiobook?

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Researchers from AI2 and the University of Washington Uncover the Superficial Nature of Alignment in LLMs and Introduce URIAL: A Novel Tuning-Free Method

Marktechpost

Large Language Models (LLMs) are recent innovations in the field of Artificial Intelligence (AI) and Deep Learning. Some of the well-known LLMs, like GPT, PaLM, LLaMa, etc, have demonstrated incredible potential in generating content. From question answering and text summarization to language translation and code completion, these models can do a lot.

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Doom at 30: A Revolution in PC Gaming

Extreme Tech

The world’s most important first-person shooter turns 30 and still holds up to this day.

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Meet Notus: Enhancing Language Models with Data-Driven Fine-Tuning

Marktechpost

In the pursuit of refining language models to align more closely with user intent and elevate response quality, a new iteration emerges – Notus. Stemming from Zephyr’s foundations, Notus , a fine-tuned version of Data Preference Optimization (DPO), emphasizes high-quality data curation for a more refined response generation process. Zephyr 7B Beta, released recently, marked a significant stride in creating a more compact yet intent-aligned Language Model (LLM).

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The Blessing of Dimensionality?! (Part 1)

Towards AI

Last Updated on December 11, 2023 by Editorial Team Author(s): Avi Mohan, Ph.D. Originally published on Towards AI. The Blessing of Dimensionality?! (Part 1) Fig 1. Shakey the Robot built at the Stanford Research Institute, circa 1972 (source: Wikimedia Commons) From Dartmouth to LISP “We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer,” said the proposal.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Meet MVHumanNet: A Large-Scale Dataset that Comprises Multi-View Human Action Sequences of 4,500 Human Identities

Marktechpost

Researchers from FNii CUHKSZ, SSE CUHKSZ introduce MVHumanNet, a vast dataset for multi-view human action sequences with extensive annotations, including human masks, camera parameters, 2D and 3D key points, SMPL/SMPLX parameters, and textual descriptions. MVHumanNet facilitates exploration in action recognition, human NeRF reconstruction, text-driven view-unconstrained human image generation, and 2D/3D avatar creation, aiming to drive innovation in large-scale 3D human-centric tasks.

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Training a Haar Cascade Object Detector in OpenCV

Machine Learning Mastery

Using a Haar cascade classifier in OpenCV is simple. You just need to provide the trained model in an XML file to create the classifier. Training one from scratch, however, is not so straightforward. In this tutorial, you will see how the training should be like. In particular, you will learn: What are the tools […] The post Training a Haar Cascade Object Detector in OpenCV appeared first on MachineLearningMastery.com.

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What is Full Stack AI? All You Need to Know

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Dive into the realm of Full Stack AI!

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