March, 2025

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Python Tooling Beyond Pandas: Libraries to Broaden Your Data Science Toolkit

KDnuggets

Pandas alternative libraries that you might not know before.

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Mastering Data Normalization: A Comprehensive Guide

Data Science Dojo

Data normalizationsounds technical, right? But at its core, it simply means making data normal or well-structured. Now, that might sound a bit vague, so lets clear things up. But before diving into the details, lets take a quick step back and understand why normalization even became a thing in the first place. Think about itdata is everywhere. It powers business decisions, drives AI models, and keeps databases running efficiently.

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Top Data Science Facts You Should Know

Pickl AI

Summary: This blog takes you on a journey to explore the interesting data facts. In the last decade, this technology has emerged as a powerful one. With the data powered decisions, organisations across the globe are creating a massive wave of change. Read more to understand how this technology is working and what are some of its key aspects. Introduction Data is the new gold.

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Can AI help us understand what animals feel?

Dataconomy

Can artificial intelligence help us understand what animals feel? A new study by researchers from the University of Copenhagens Department of Biology suggests that it can. Published in iScience , the study demonstrates that a machine-learning model can distinguish between positive and negative emotional states across seven different ungulate species, achieving an 89.49% accuracy rate.

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Automation, Evolved: Your New Playbook For Smarter Knowledge Work

Speaker: Frank Taliano

Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.

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Leaked data exposes a Chinese AI censorship machine

Flipboard

A complaint about poverty in rural China. A news report about a corrupt Communist Party member. A cry for help about corrupt cops shaking down entrepreneurs.

AI 181
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@HPCpodcast: Dr. Ian Cutress on the State of Advanced Chips, the GPU Landscape and AI Compute, Global Chip Manufacturing and GTC Expectations

insideBIGDATA

[link] Just before GTC (and for the 100th episode of the @HPCpodcast and this one sponsored by liquid cooling company CoolIT), we welcome special guest and high-powered chip industry analyst Dr.

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More Trending

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GPT 4.5: The New Addition to Open AI’s GPT Family

Data Science Dojo

The world of AI never stands still, and 2025 is proving to be a groundbreaking year. The first big moment came with the launch of DeepSeek -V3, a highly advanced large language model (LLM) that made waves with its cutting-edge advancements in training optimization, achieving remarkable performance at a fraction of the cost of its competitors. Now, the next major milestone of the AI world is here – Open AI’s GPT 4.5.

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Evaluating LLMs Series Part 1: Evaluating Language Models with BLEU Metric

Analytics Vidhya

In artificial intelligence, evaluating the performance of language models presents a unique challenge. Unlike image recognition or numerical predictions, language quality assessment doesn’t yield to simple binary measurements. Enter BLEU (Bilingual Evaluation Understudy), a metric that has become the cornerstone of machine translation evaluation since its introduction by IBM researchers in 2002.

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Airline Demand Between Canada & United States Collapses, Down 70%+

Hacker News

Recently, I wrote about how were seeing a general softening of demand for travel to the United States, for a variety of reasons. Theres no denying that the most contentious situation is between Canada and the United States, and we now have some data that shows just how extreme the change in demand is. Transborder flight bookings are down by 70%+ Weve known that travel demand between Canada and the United States has been decreasing, both by air and by roads.

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Headroom for AI development

Machine Learning (Theory)

( Dylan Foster and Alex Lamb both helped in creating this.) In thinking about what are good research problems, its sometimes helpful to switch from what is understood to what is clearly possible. This encourages us to think beyond simply improving the existing system. For example, we have seen instances throughout the history of machine learning where researchers have argued for fixing an architecture and using it for short-term success, ignoring potential for long-term disruption.

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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

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Fluidstack and Eclairion to Deliver 18K GPU Supercomputer in France

insideBIGDATA

AI cloud platform Fluidstack and Eclairion, a French maker of modular, high-density data centers, have partnered to build what the companies said is Europes largest GPU supercomputer that they will deliver in 2025 for Mistral AI, the French AI startup.

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Exploring Prediction Targets in Masked Pre-Training for Speech Foundation Models

Machine Learning Research at Apple

Speech foundation models, such as HuBERT and its variants, are pre-trained on large amounts of unlabeled speech data and then used for a range of downstream tasks. These models use a masked prediction objective, where the model learns to predict information about masked input segments from the unmasked context. The choice of prediction targets in this framework impacts their performance on downstream tasks.

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You can now download the source code that sparked the AI boom

Flipboard

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet , the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that "deep learning" could achieve things conventional AI techniques could not. Deep learning , which uses multi-layered neural networks that can learn from data without explicit programming, represented a significant departure from traditional AI approaches that relied on hand-crafted ru

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Top 13 Advanced RAG Techniques for Your Next Project

Analytics Vidhya

Can AI generate truly relevant answers at scale? How do we make sure it understands complex, multi-turn conversations? And how do we keep it from confidently spitting out incorrect facts? These are the kinds of challenges that modern AI systems face, especially those built using RAG. RAG combines the power of document retrieval with the […] The post Top 13 Advanced RAG Techniques for Your Next Project appeared first on Analytics Vidhya.

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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.

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Google makes Android development private, will continue open source releases

Hacker News

Google is planning a major change to the way it develops new versions of the Android operating system. Since the beginning , large swaths of the software have been developed in public-facing channels, but that will no longer be the case. This does not mean Android is shedding its open source roots, but the process won't be as transparent. Google has confirmed to Android Authority that all Android development work going forward will take place in Google's internal branch.

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Announcing Anthropic Claude 3.7 Sonnet is natively available in Databricks

databricks

Were excited to announce that Anthropic Claude 3.7 Sonnet is now natively available in Databricks across AWS, Azure, and GCP. For the first time, you.

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@HPCpodcast: Live from GTC 2025, Among the Crowds for the New AI Compute Landscape

insideBIGDATA

[link] In what is becoming an annual tradition for the @HPCpodcast, we present “Live from Nvidia GTC 2025,” covering highlights from the Nvidia extravaganza with an AI-everywhere theme.

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When Does a Predictor Know Its Own Loss?

Machine Learning Research at Apple

Given a predictor and a loss function, how well can we predict the loss that the predictor will incur on an input? This is the problem of loss prediction, a key computational task associated with uncertainty estimation for a predictor. In a classification setting, a predictor will typically predict a distribution over labels and hence have its own estimate of the loss that it will incur, given by the entropy of the predicted distribution.

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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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Why extracting data from PDFs is still a nightmare for data experts

Flipboard

For years, businesses, governments, and researchers have struggled with a persistent problem: How to extract usable data from Portable Document Format (PDF) files. These digital documents serve as containers for everything from scientific research to government records, but their rigid formats often trap the data inside , making it difficult for machines to read and analyze.

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Chain of Draft Prompting with Gemini and Groq

Analytics Vidhya

Recent advancements in reasoning models, such as OpenAI’s o1 and DeepSeek R1, have propelled LLMs to achieve impressive performance through techniques like Chain of Thought (CoT). However, the verbose nature of CoT leads to increased computational costs and latency. A novel paper published by Zoom Communications presents a new prompting technique called Chain of Draft […] The post Chain of Draft Prompting with Gemini and Groq appeared first on Analytics Vidhya.

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Chaos in Cloudflare’s Lisbon office: securing the Internet with wave motion

Hacker News

Over the years, Cloudflare has gained fame for many things, including our technical blog, but also as a tech company securing the Internet using lava lamps , a story that began as a research/science project almost 10 years ago. In March 2025, we added another layer to its legacy: a "wall of entropy" made of 50 wave machines in constant motion at our Lisbon office, the company's European HQ.

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Announcing Automatic Publishing to Power BI

databricks

Were excited to announce the Public Preview of the Microsoft Power BI task type in Databricks Workflows, available on Azure, AWS, and GCP. With this.

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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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Nexla Expands AI-Powered Integration Platform for Enterprise-Grade GenAI

insideBIGDATA

SAN MATEO, Calif., March 04, 2025 — AI-powered integration company Nexla announced a major update to the Nexla Integration Platform, expanding its no-code integration, RAG pipeline engineering, and data governance capabilities with the intent to make enterprise-grade GenAI more accessible.

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DR-MPC: Deep Residual Model Predictive Control for Real-World Social Navigation

Machine Learning Research at Apple

How can a robot safely navigate around people exhibiting complex motion patterns? Reinforcement Learning (RL) or Deep RL (DRL) in simulation holds some promise, although much prior work relies on simulators that fail to precisely capture the nuances of real human motion. To address this gap, we propose Deep Residual Model Predictive Control (DR-MPC), a method to enable robots to quickly and safely perform DRL from real-world crowd navigation data.

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World's first "Synthetic Biological Intelligence" runs on living human cells

Flipboard

The world's first "biological computer" that fuses human brain cells with silicon hardware to form fluid neural networks has been commercially launched, ushering in a new age of AI technology. The CL1, from Australian company Cortical Labs, offers a whole new kind of computing intelligence one that's more dynamic, sustainable and energy efficient than any AI that currently exists and we will start to see its potential when it's in users' hands in the coming months

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ROUGE: Decoding the Quality of Machine-Generated Text

Analytics Vidhya

Imagine an AI that can write poetry, draft legal documents, or summarize complex research papersbut how do we truly measure its effectiveness? As Large Language Models (LLMs) blur the lines between human and machine-generated content, the quest for reliable evaluation metrics has become more critical than ever. Enter ROUGE (Recall-Oriented Understudy for Gisting Evaluation), a […] The post ROUGE: Decoding the Quality of Machine-Generated Text 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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Firmware update bricks HP printers, makes them unable to use HP cartridges

Hacker News

HP, along with other printer brands , is infamous for issuing firmware updates that brick already-purchased printers that have tried to use third-party ink. In a new form of frustration, HP is now being accused of issuing a firmware update that broke customers laser printerseven though the devices are loaded with HP-brand toner. The firmware update in question is version 20250209, which HP issued on March 4 for its LaserJet MFP M232-M237models.

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TAO: Using test-time compute to train efficient LLMs without labeled data

databricks

Large language models are challenging to adapt to new enterprise tasks. Prompting is error-prone and achieves limited quality gains, while fine-tuning requires large amounts of.

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Palantir and Databricks Announce AI Product Partnership

insideBIGDATA

SAN FRANCISCO,March 13, 2025 —DatabricksandPalantir Technologies Inc.(NASDAQ:PLTR), provider of enterprise operating systems, today announced a strategic product partnership that combines Palantir’s AI operating system and Databricks’ platform for AI, data warehousing and data engineering.

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The Hundred-Page Language Models Book: A Great Technical Intro to LLMs

KDnuggets

The Hundred-Page Language Models Book is the LLM book you shouldn't miss.

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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?