April, 2025

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Data Science Side Quests: 4 Uncommon Projects to Elevate Your Skills

KDnuggets

Doing data science projects can be demanding, but it doesnt mean it has to be boring. Here are four projects to introduce more fun to your learning and stand out from the masses.

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Generative AI Data Scientist: A Booming New Job Role

Analytics Vidhya

Summary Introduction Generative AI (GenAI) has evolved from experimental research to enterprise-grade applications in record time. The rise of tools like ChatGPT, AI-powered copilots, and custom AI agents across industries, has led to the emergence of a bunch of new roles and teams in organizations. One such booming new career path is that of a […] The post Generative AI Data Scientist: A Booming New Job Role appeared first on Analytics Vidhya.

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14 Powerful Techniques Defining the Evolution of Embedding

Analytics Vidhya

You know how, back in the day, we used simple wordcount tricks to represent text? Well, things have come a long way since then. Now, when we talk about the evolution of embeddings, we mean numerical snapshots that capture not just which words appear but what they really mean, how they relate to each other […] The post 14 Powerful Techniques Defining the Evolution of Embedding appeared first on Analytics Vidhya.

Analytics 250
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7 Essential Ready-To-Use Data Engineering Docker Containers

KDnuggets

Ready to level up your data engineering game without wasting hours on setup? From ingestion to orchestration, these Docker containers handle it all.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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6 techniques to fix ChatGPT’s annoying habits

Dataconomy

You’ve experienced it. That flash of frustration when ChatGPT, despite its incredible power, responds in a way that feels… off. Maybe it’s overly wordy, excessively apologetic, weirdly cheerful, or stubbornly evasive. While we might jokingly call it an “annoying personality,” it’s not personality at all. It’s a complex mix of training data, safety protocols, and the inherent nature of large language models (LLMs).

Python 184
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Multiverse Says It Compresses Llama Models by 80%

insideBIGDATA

Donostia, Spain April 8, 2025 Multiverse Computing today released two new AI models compressed by CompactifAI, Multiverse’s AI compressor: 80 percent compressed versions of Llama 3.1-8B and Llama 3.3-70B.

AI 433

More Trending

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Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy

Machine Learning Research at Apple

At Apple, we believe privacy is a fundamental human right. And we believe in giving our users a great experience while protecting their privacy. For years, weve used techniques like differential privacy as part of our opt-in device analytics program. This lets us gain insights into how our products are used, so we can improve them, while protecting user privacy by preventing Apple from seeing individual-level data from those users.

Analytics 353
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A Comprehensive Guide to RAG Developer Stack

Analytics Vidhya

Building a RAG (Retrieval-Augmented Generation) application isnt just about plugging in a few toolsits about choosing the right stack that makes retrieval and generation not just possible but efficient and scalable. Lets say youre working on something like Smart Chat with PDFan AI app that lets users interact with PDFs conversationally. Its not as simple […] The post A Comprehensive Guide to RAG Developer Stack appeared first on Analytics Vidhya.

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Windows RDP lets you log in using revoked passwords. Microsoft is OK with that.

Hacker News

From the department of head scratches comes this counterintuitive news: Microsoft says it has no plans to change a remote login protocol in Windows that allows people to log in to machines using passwords that have been revoked. Password changes are among the first steps people should take in the event that a password has been leaked or an account has been compromised.

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Research: A periodic table for machine learning

Dataconomy

In machine learning, few ideas have managed to unify complexity the way the periodic table once did for chemistry. Now, researchers from MIT, Microsoft, and Google are attempting to do just that with I-Con, or Information Contrastive Learning. The idea is deceptively simple: represent most machine learning algorithmsclassification, regression, clustering, and even large language modelsas special cases of one general principle: learning the relationships between data points.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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News Bytes 20250414: Argonne’s AI-based Reactor Monitor, AI on the Moon, TSMC under $1B Penalty Threat, HPC-AI in Growth Mode

insideBIGDATA

A happy Tax Day (U.S.) Eve to you! Its been an eventful week in the HPC-AI industry, heres a rapid (8:39) run-down of recent news, including: Argonne's AI-based reactor digital twin, AI factory on the moon?, TSMC may face US$1B U.S. export penalty, Chinese AI order of Nvidia H20 GPUs, HPC-AI market growth.

AI 352
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9 Useful Data Anonymization Techniques to Ensure Privacy

Data Science Dojo

Ever wonder what happens to your data after you chat with an AI like ChatGPT ? Do you wonder who else can see this data? Where does it go? Can it be traced back to you? These concerns arent just hypothetical. In the digital age, data is powe r. But with great power comes great responsibility, especially when it comes to protecting peoples personal information.

AI 195
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Controlling Language and Diffusion Models by Transporting Activations

Machine Learning Research at Apple

Large generative models are becoming increasingly capable and more widely deployed to power production applications, but getting these models to produce exactly what's desired can still be challenging. Fine-grained control over these models' outputs is important to meet user expectations and to mitigate potential misuses, ensuring the models' reliability and safety.

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ByteDance’s DreamActor-M1 Turns Photos into Videos

Analytics Vidhya

Imagine you have a single photograph of a person and wish to see them come alive in a video, moving and expressing emotions naturally. ByteDance’s latest AI-powered model, DreamActor-M1, makes this possible by transforming static images into dynamic, realistic animations. This article explores how DreamActor-M1 works, its technical design, and the important ethical considerations that […] The post ByteDance’s DreamActor-M1 Turns Photos into Videos appeared first on Analytics Vi

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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How to Avoid Ethical Red Flags in Your AI Projects

Flipboard

As a computer scientist who has been immersed in AI ethics for about a decade, Ive witnessed firsthand how the field has evolved. Today, a growing number of engineers find themselves developing AI solutions while navigating complex ethical considerations. Beyond technical expertise, responsible AI deployment requires a nuanced understanding of ethical implications.

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The LLM wears Prada: Why AI still shops in stereotypes

Dataconomy

You are what you buyor at least, thats what your language model thinks. In a recently published study , researchers set out to investigate a simple but loaded question: can large language models guess your gender based on your online shopping history? And if so, do they do it with a side of sexist stereotypes? The answer, in short: yes, and very much yes.

AI 196
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Data Center Cooling: PFCC and ENEOS Collaborate on Materials R&D with NVIDIA ALCHEMI Software

insideBIGDATA

March 31, 2025 — Preferred Computational Chemistry Inc. (PFCC) announces that it will team up with ENEOS Corp. to enable AI-driven formulation optimization of chemicals and materials using NVIDIA ALCHEMI software. The collaboration was announced at NVIDIA GTC.

AI 355
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LLM Observability and Monitoring: The Key to Building Reliable and Secure AI Applications

Data Science Dojo

Imagine relying on an LLM-powered chatbot for important information, only to find out later that it gave you a misleading answer. This is exactly what happened with Air Canada when a grieving passenger used its chatbot to inquire about bereavement fares. The chatbot provided inaccurate information, leading to a small claims court case and a fine for the airline.

AI 195
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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Apple Machine Learning Research at ICLR 2025

Machine Learning Research at Apple

Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the worlds understanding of this technology and helps to redefine what is possible with it. To support the broader research community and help accelerate progress in this field, we share much of our research through publications, open source resources, and engagement at conferences.

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Popular Python Web Frameworks to Use in 2025

Analytics Vidhya

As we enter 2025, Python web frameworks are becoming more advanced and diverse than ever. They are empowering developers to create everything from simple sites to complex web applications. Finding the best Python framework for web development is key to building efficient and scalable solutions. In this article, well walk through a comprehensive list of […] The post Popular Python Web Frameworks to Use in 2025 appeared first on Analytics Vidhya.

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Elon Musk Reportedly Doing Something Horrid to Power His AI Data Center

Flipboard

It's no secret that Elon Musk's wealth is staggering. At the time of writing, he's worth over $325 billion. To give that number a sense of scale, that's $62 billion more than the total annual salary of every worker in Michigan combined all 4.3 million of them. So why is he powering his data centers with rinky-dink portable generators? New aerial surveillance footage obtained by the Southern Environmental Law Center has found that Musk's artificial intelligence company, xAI, is using 35 methane

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Rite Aid data breach settlement claims: Full guide

Dataconomy

Rite Aid data breach investigations rarely make it onto a familys weekend todo list, yet a few minutes of paperwork today could translate into thousands of dollars of compensation tomorrow. A hacker working with the RansomHub gang slipped into the pharmacy chains network on June62024 and walked away with the personal information of 2.2million customers.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Oracle Cloud Deploys NVIDIA Blackwell GPUs

insideBIGDATA

Nvidia said Oracle has stood up its first wave of liquid-cooled NVIDIA GB200 NVL72 racks in its data centers.

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Evaluating AI Agents with Arize AI – A Complete Series to Get You Started!

Data Science Dojo

Did science fiction just quietly become our everyday tech reality? Because just a few years ago, the idea of machines that think, plan, and act like humans felt like something straight from the pages of Asimov or a scene from Westworld. This used to be futuristic fiction! However, with AI agents , this advanced machine intelligence is slowly turning into a reality.These AI agents use memory, make decisions, switch roles, and even collaborate with other agents to get things done.

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Carnegie Mellon University at ICLR 2025

ML @ CMU

CMU researchers are presenting 143 papers at the Thirteenth International Conference on Learning Representations (ICLR 2025), held from April 24 – 28 at the Singapore EXPO. Here is a quick overview of the areas our researchers are working on: And here are our most frequent collaborator institutions: Table of Contents Oral Papers Spotlight Papers Poster Papers Alignment, Fairness, Safety, Privacy, And Societal Considerations Applications to Computer Vision, Audio, Language, And Other Modali

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5 Affordable Cloud Platforms for Fine-tuning LLMs

Analytics Vidhya

Fine-tuning large language models is no small featit demands high-performance GPUs, vast computational resources, and often, a wallet-draining budget. But what if you could get the same powerful infrastructure for a fraction of the cost? Thats where affordable cloud platforms come in. Instead of paying premium rates on AWS, Google Cloud, or Azure, smart AI […] The post 5 Affordable Cloud Platforms for Fine-tuning LLMs appeared first on Analytics Vidhya.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

Flipboard

This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Enterprise data by its very nature spans diverse data domains, such as security, finance, product, and HR. Data across these domains is often maintained across disparate data environments (such as Amazon Aurora , Oracle, and Teradata), with each managing hundreds or perhaps thousands of tables to represent and persist business data.

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Nike’s NFT empire crumbles and buyers are suing

Dataconomy

Nike is facing a proposed class-action lawsuit from buyers of its non-fungible tokens (NFTs) who claim the company misled them about the digital assets, according to Reuters. The lawsuit, filed in New York’s Eastern District, accuses Nike of causing “the rug to be pulled out from under them” by winding down its virtual shoe project, RTFKT, last year.

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Vectara Launches Open Source Framework for RAG Evaluation

insideBIGDATA

Palo Alto, April 8, 2025 Vectara, a platform for enterprise Retrieval-Augmented Generation (RAG) and AI-powered agents and assistants, today announced the launch of Open RAG Eval, its open-source RAG evaluation framework.

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Do LLMs Know Internally When They Follow Instructions?

Machine Learning Research at Apple

Instruction-following is crucial for building AI agents with large language models (LLMs), as these models must adhere strictly to user-provided constraints and guidelines. However, LLMs often fail to follow even simple and clear instructions. To improve instruction-following behavior and prevent undesirable outputs, a deeper understanding of how LLMs internal states relate to these outcomes is required.

AI 173
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m