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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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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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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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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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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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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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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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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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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Meta and IBM team up against dominant Big Tech players

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The corporations on Tuesday launched the "AI Alliance," a coalition of groups pushing for open-sourced technology.

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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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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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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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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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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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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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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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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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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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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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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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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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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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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 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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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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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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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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AI Poised to Revolutionize Climate Forecasting and Mitigation Efforts

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In late October, a devastating storm struck northern Italy, causing Lake Como and the Seveso River to overflow this event served as a stark reminder …

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