Thu.Jul 18, 2024

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Top 18 Companies Hiring Data Professionals through Hackathons

Analytics Vidhya

Introduction Forget endless resumes and interviews! Hackathons are now the new way for companies to find the best data professionals. These intense coding competitions bring together talented folks to tackle tricky problems. It’s a chance to show off your skills and think outside the box under friendly pressure. But it’s not just about bragging rights. […] The post Top 18 Companies Hiring Data Professionals through Hackathons appeared first on Analytics Vidhya.

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Meta joins Apple in withholding AI models from EU users

AI News

Meta has announced it will not be launching its upcoming multimodal AI model in the European Union due to regulatory concerns. This decision from Meta comes on the heels of Apple’s similar move to exclude the EU from its Apple Intelligence rollout, signalling a growing trend of tech giants hesitating to introduce advanced AI technologies in the region.

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Meta Suspends Generative AI Features in Brazil Amid Regulatory Pressure

Unite.AI

In a significant development, Meta has announced the suspension of its generative AI features in Brazil. This decision, revealed on July 18, 2024, comes in the wake of recent regulatory actions by Brazil's National Data Protection Authority (ANPD). There are growing tensions between technological innovation and data privacy concerns, particularly in emerging markets.

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7 Best Platforms to Practice Python

Analytics Vidhya

Introduction Want to improve your knowledge of Python? Examine these seven best platforms to improve your coding skills. Whether your goal is to become an expert in algorithmic difficulties, software development, or data science, these resources can help you along the way with carefully chosen courses, practical projects, and active communities. With a range of […] The post 7 Best Platforms to Practice Python appeared first on Analytics Vidhya.

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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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The AI Advantage: Reshaping Loyalty Programs and Customer Segmentation

Unite.AI

Whether it's online or in a store, consumers are used to being prompted to join loyalty programs when making a purchase. It’s a part of the shopping experience people have come to expect, but the mechanics behind these programs aren’t always obvious. Most loyalty programs follow the same formula — you sign up and receive the same rewards and offers as all (or most) of the other loyalty program members.

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Overcoming Cross-Platform Deployment Hurdles in the Age of AI Processing Units

Unite.AI

AI hardware is growing quickly, with processing units like CPUs, GPUs, TPUs, and NPUs, each designed for specific computing needs. This variety fuels innovation but also brings challenges when deploying AI across different systems. Differences in architecture, instruction sets, and capabilities can cause compatibility issues, performance gaps, and optimization headaches in diverse environments.

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Top 30 SQL String Functions with Usage and Syntax

Analytics Vidhya

Introduction Think of SQL string functions as a Swiss Army knife for working with text in databases. They’re the go-to tools to slice, dice, clean up, or transform text data. Whether you’re a developer trying to make sense of messy user input or an analyst preparing data for a report, these functions have your back. […] The post Top 30 SQL String Functions with Usage and Syntax appeared first on Analytics Vidhya.

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10 industries that use distributed computing

IBM Journey to AI blog

Distributed computing is a process that uses numerous computing resources in different operating locations to mimic the processes of a single computer. Distributed computing assembles different computers, servers and computer networks to accomplish computing tasks of widely varying sizes and purposes. Distributed computing even works in the cloud. And while it’s true that distributed cloud computing and cloud computing are essentially the same in theory, in practice, they differ in their g

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50+ MongoDB Interview Questions and Answers

Analytics Vidhya

Introduction MongoDB is a NoSQL database offering high performance and scalability. It stores data as documents, similar to JSON objects, allowing for complex structures like nested documents and arrays. This approach matches native data types in many programming languages. It also reduces the need for joins with embedded documents and arrays. Moreover, it supports dynamic […] The post 50+ MongoDB Interview Questions and Answers appeared first on Analytics Vidhya.

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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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Speech-to-Text security: Top foundational security questions to consider for your next project using speech

AssemblyAI

You’re testing out a new Speech-to-Text API or speech recognition software. You upload your audio or video files, select your requirements, receive your transcription, and move on to the next step in your project. But what happens to the files you uploaded? Are the files protected? When considering a Speech-to-Text provider to work with, don’t assume all your data is safe.

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Chain of Verification: Prompt Engineering for Unparalleled Accuracy

Analytics Vidhya

Introduction Imagine a world where AI-generated content is astonishingly accurate and incredibly reliable. Welcome to the forefront of artificial intelligence and natural language processing, where an exciting new approach is taking shape: the Chain of Verification (CoV). This revolutionary method in prompt engineering is set to transform our interactions with AI systems.

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Unveiling Neural Patterns: A Breakthrough in Predicting Esports Match Outcomes

Unite.AI

In a groundbreaking discovery, NTT Corporation has identified neural oscillation patterns that are closely linked to the outcomes of esports matches , achieving prediction accuracy of approximately 80%. This innovative research marks a significant advancement in understanding the brain's role in competitive performance and opens new avenues for individualized mental conditioning.

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What is Python Caching?

Analytics Vidhya

Introduction Imagine you could make your Python programs run much faster without much effort. That’s what caching can do for you. Think of python caching as a way to save the answers to hard problems so you don’t have to solve them again. By keeping these answers handy, your programs can skip the hard work […] The post What is Python Caching?

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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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Mistral AI and NVIDIA Unveil Mistral NeMo 12B, a Cutting-Edge Enterprise AI Model

NVIDIA

Mistral AI and NVIDIA today released a new state-of-the-art language model, Mistral NeMo 12B, that developers can easily customize and deploy for enterprise applications supporting chatbots, multilingual tasks, coding and summarization. By combining Mistral AI’s expertise in training data with NVIDIA’s optimized hardware and software ecosystem, the Mistral NeMo model offers high performance for diverse applications. “We are fortunate to collaborate with the NVIDIA team, leveraging their to

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Exploring Different Capabilities of CodeLlama

Analytics Vidhya

Introduction Imagine a world where coding becomes as seamless as conversing with a friend, where complex programming tasks are tackled with just a few prompts. This is not science fiction—this is CodeLlama, the revolutionary tool leveraging Meta’s Llama 2 model to transform the way we write and understand code. In this article, we’ll delve into […] The post Exploring Different Capabilities of CodeLlama appeared first on Analytics Vidhya.

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10 tasks I wish AI could perform for financial planning and analysis professionals

IBM Journey to AI blog

It’s no secret that artificial intelligence (AI) transforms the way we work in financial planning and analysis (FP&A). It is already happening to a degree, but we could easily dream of many more things that AI could do for us. Most FP&A professionals are consumed with manual work that detracts from their ability to add value to their work.

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Transcending the Euclidean Paradigm: A Roadmap for Advancing Machine Learning with Geometric, Topological, and Algebraic Structures

Marktechpost

This Paper addresses the limitations of classical machine learning approaches primarily developed for data lying in Euclidean space. Modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean, exhibiting intricate geometric, topological, and algebraic structures. Extracting knowledge from such non-Euclidean data necessitates a broader mathematical perspective beyond the traditional Euclidean framework.

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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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Metadata filtering for tabular data with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. To equip FMs with up-to-date and proprietary information, organizations use Retrieval Augmented Generation (RAG), a technique that fetches data from company data sources and enriches the prompt to provide more relevant and accurate responses.

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Deepset-Mxbai-Embed-de-Large-v1 Released: A New Open Source German/English Embedding Model

Marktechpost

Deepset and Mixedbread have taken a bold step toward addressing the imbalance in the AI landscape that predominantly favors English-speaking markets. They have introduced a groundbreaking open-source German/English embedding model, deepset-mxbai-embed-de-large-v1 , to enhance multilingual capabilities in natural language processing (NLP). This model is based on intfloat/multilingual-e5-large and has undergone fine-tuning on over 30 million pairs of German data, specifically tailored for retrieva

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How Mend.io unlocked hidden patterns in CVE data with Anthropic Claude on Amazon Bedrock

AWS Machine Learning Blog

This post is co-written with Maciej Mensfeld from Mend.io. In the ever-evolving landscape of cybersecurity, the ability to effectively analyze and categorize Common Vulnerabilities and Exposures (CVEs) is crucial. This post explores how Mend.io , a cybersecurity firm, used Anthropic Claude on Amazon Bedrock to classify and identify CVEs containing specific attack requirements details.

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Groq Releases Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use: Open-Source, State-of-the-Art Models Achieving Over 90% Accuracy on Berkeley Function Calling Leaderboard

Marktechpost

Groq has recently released two innovative open-source models for tool use: Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use. These models are developed in collaboration with Glaive and designed to advance tool use and function-calling capabilities in AI. The Llama-3-Groq-70B-Tool-Use model is the highest-performing model on the Berkeley Function Calling Leaderboard (BFCL), outperforming all other open-source and proprietary models.

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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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Engineers Develop Stretchy Lithium-Ion Battery

Extreme Tech

The mostly transparent battery can reportedly stretch to 5,000% of its original length and withstand at least 67 charge cycles.

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Researchers from Google DeepMind Introduce YouTube-SL-25: A Multilingual Corpus with Over 3,000 Hours of Sign Language Videos Covering 25+ Languages

Marktechpost

Sign language research aims to advance technology that improves the understanding, translation, and interpretation of sign languages used by Deaf and hard-of-hearing communities globally. This field involves creating extensive datasets, developing sophisticated machine-learning models, and enhancing tools for translation and identification in various applications.

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Ensuring Quality Forecasts with Databricks Lakehouse Monitoring

databricks

Discover how Databricks Lakehouse Monitoring empowers you to ensure reliable, accurate forecasts by proactively detecting data drift, model degradation, and more.

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Make-An-Agent: A Novel Policy Parameter Generator that Leverages the Power of Conditional Diffusion Models for Behavior-to-Policy Generation

Marktechpost

Traditional policy learning uses sampled trajectories from a replay buffer or behavior demonstrations to learn policies or trajectory models that map from state to action. This approach models a narrow behavior distribution. However, there is a challenge to guide high-dimensional output generation using low-dimensional demonstrations. Diffusion models have shown highly competitive performance on tasks like text-to-image synthesis.

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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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#32 Understanding AdaBoost From Its Original 1997 Paper

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, I have a very exciting announcement to make. I have partnered with O’Reilly to create two specific “shortcut” video series on LLMs and GenAI research. The first shortcut series on LLM techniques covers the latest approaches and techniques related to LLMs.

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Sibyl: An AI Agent Framework Designed to Enhance the Capabilities of LLMs in Complex Reasoning Tasks

Marktechpost

Large language models (LLMs) have revolutionized human-computer interaction but face challenges in complex real-world scenarios requiring extensive reasoning. LLM-based agents struggle with lengthy reasoning chains, leading to error propagation and reduced accuracy. Existing systems’ complexity hinders practical deployment and scalability. Also, long-context management poses a significant challenge, with a gap between claimed and effective context lengths LLMs can handle.

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TSMC's AI Hardware Earnings Have Now Eclipsed Smartphone Chip Revenue

Extreme Tech

The company's balance sheet highlights the industry's shift from mobile to AI.

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