January, 2025

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What is Data-driven vs AI-driven Practices?

Pickl AI

Summary: The article explores the differences between data driven and AI driven practices. The right approach is necessary to improve decisions and ensure your business remains competitive. Data-driven and AI-driven approaches have become key in how businesses address challenges, seize opportunities, and shape their strategic directions. Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business?

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Why “Living Intelligence” Is the Next Big Thing

Flipboard

AI is merely one facet of a sweeping technological change underway, and companies that fail to recognize the importance of other converging technologies risk being left behind. Two other technologies advanced sensors and biotechnology are less visible, though no less important, and have been quietly advancing. Soon, the convergence of these three technologies is going to underpin a new reality that will shape the future decisions of every leader across industries.

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Anomaly Detection: How to Find Outliers Using the Grubbs Test

PyImageSearch

Home Table of Contents Anomaly Detection: How to Find Outliers Using the Grubbs Test What Is an Outlier? How to Find Outliers with Grubbs Test Formulating the Hypotheses Null Hypothesis Alternative Hypothesis Calculate the Test Statistic Determining the Critical Value with t-Distribution Key Characteristics of the t-Distribution Performing the Grubbs Test Left-Tailed Grubbs Test Right-Tailed Grubbs Test Two-Tailed Grubbs Test Summary Citation Information Anomaly Detection: How to Find Outliers U

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Debugging in the Age of AI-Generated Code

Towards AI

Author(s): Diop Papa Makhtar Originally published on Towards AI. a Developer coding with his laptop In the fast-evolving world of software development, the landscape is shifting dramatically. The rise of AI-generated code is heralding a new era of productivity and innovation. Tools like GitHub Copilot and OpenAIs Codex promise to speed up development cycles, reduce boilerplate coding, and democratize programming by lowering entry barriers.

AI 105
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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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Data Integrity for AI: What’s Old is New Again

Precisely

Artificial Intelligence (AI) is all the rage, and rightly so. By now most of us have experienced how Gen AI and the LLMs (large language models) that fuel it are primed to transform the way we create, research, collaborate, engage, and much more. Yet along with the AI hype and excitement comes very appropriate sanity-checks asking whether AI is ready for prime-time.

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$200M HPC Data Center for AI in Wisconsin Launched by DPO and Billerud

insideBIGDATA

NEW YORK,Jan. 23, 2025 — Digital Power Optimization, Inc. (“DPO”), a developer and operator of power-dense data centers, today announced it has secured land and a power supply to develop a $200 millionhigh-performance computing facility inWisconsin Rapids, WI. This project will enable up to 20 megawatts of AI computing.

AI 459

More Trending

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Inductive biases of neural network modularity in spatial navigation

ML @ CMU

TL;DR: The brain may have evolved a modular architecture for daily tasks, with circuits featuring functionally specialized modules that match the task structure. We hypothesize that this architecture enables better learning and generalization than architectures with less specialized modules. To test this, we trained reinforcement learning agents with various neural architectures on a naturalistic navigation task.

AI 336
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Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding

Analytics Vidhya

In the era of AI, chatbots have revolutionized how we interact with technology. Perhaps one of the most impactful uses is in the healthcare industry. Chatbots are able to deliver fast, accurate information, and help individuals more effectively manage their health. In this article, we’ll learn how to develop a medical chatbot using Gemini 2.0, […] The post Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding appeared first on Analytics Vidhya.

Analytics 291
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5 Common Mistakes to Avoid When Training LLMs

Machine Learning Mastery

Introduction Training large language models (LLMs) is an involved process that requires planning, computational resources, and domain expertise. Data scientists, machine learning practitioners, and AI engineers alike can fall into common training or fine-tuning patterns that could compromise a model’s performance or scalability.

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On the Modeling Capabilities of Large Language Models for Sequential Decision Making

Machine Learning Research at Apple

Large pretrained models are showing increasingly better performance in reasoning and planning tasks across different modalities, opening the possibility to leverage them for complex sequential decision making problems. In this paper, we investigate the capabilities of Large Language Models (LLMs) for reinforcement learning (RL) across a diversity of interactive domains.

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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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Nvidia at CES: Omniverse Blueprint for Industry, Generative Physical AI, Access to Blackwells, Cosmos Model for Physical AI

insideBIGDATA

Nvidia issued its anticipated raft of news at CES this week, heres an overview of announcements for the HPC-AI sector: Mega Omniverse Blueprint for Industrial Robot Fleet Digital Twins The company said Mega is an omniverse framework for next-gen industrial AI and robot simulation through software-defined testing and optimization of factories and warehouses.

AI 396
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Knowledge Distillation: Making AI Models Smaller, Faster & Smarter

Data Science Dojo

Artificial intelligence (AI) has transformed industries, but its large and complex models often require significant computational resources. Traditionally, AI models have relied on cloud-based infrastructure, but this approach often comes with challenges such as latency, privacy concerns, and reliance on a stable internet connection. Enter Edge AI, a revolutionary shift that brings AI computations directly to devices like smartphones, IoT gadgets, and embedded systems.

AI 195
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Windows 11 just got a big fix but you have to manually update

Dataconomy

Microsoft has released a new preview update, KB5050094 , for Windows 11 24H2 on Tuesday, which aims to fix multiple bugs affecting the operating system, including issues arising from the January Patch Tuesday update. Microsoft releases preview update KB5050094 for Windows 11 24H2 KB5050094 addresses audio issues where USB headphones, as well as other devices connected through a digital-to-analog converter (DAC), failed to produce sound, displaying the error message: “Insufficient system re

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ML and AI Model Explainability and Interpretability

Analytics Vidhya

In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems. Through tools like LIME and SHAP, we demonstrate how to gain insights […] The post ML and AI Model Explainability and Interpretability appeared first on Analytics Vidhya.

ML 271
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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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YOU SEE AN LLM HERE: Integrating Language Models Into Your Text Adventure Games

Machine Learning Mastery

Introduction Text-based adventure games have a timeless appeal. They allow players to imagine entire worlds, from shadowy dungeons and towering castles to futuristic spacecraft and mystic realms, all through the power of language.

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Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models

Machine Learning Research at Apple

Scaling the capacity of language models has consistently proven to be a reliable approach for improving performance and unlocking new capabilities. Capacity can be primarily defined by two dimensions: the number of model parameters and the compute per example. While scaling typically involves increasing both, the precise interplay between these factors and their combined contribution to overall capacity remains not fully understood.

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MasterCard DNS Error Went Unnoticed for Years

Hacker News

The payment card giant MasterCard just fixed a glaring error in its domain name server settings that could have allowed anyone to intercept or divert Internet traffic for the company by registering an unused domain name. The misconfiguration persisted for nearly five years until a security researcher spent $300 to register the domain and prevent it from being grabbed by cybercriminals.

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MicroStrategy Announces New Version of Auto AI Business Intelligence Bot

insideBIGDATA

TYSONS CORNER, VA, Jan. 30, 2025 AI-powered business intelligence company MicroStrategy today announced the latest release of MicroStrategy ONE, which helps enterprises gain value from generative AI by personalizing the AI experience for each user. MicroStrategys Auto AI bot delivers a human-like conversational experience for users interacting with data.

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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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What Companies Succeeding with AI Do Differently

Flipboard

In 2021, researchers at MIT and McKinsey teamed up to ask more than 100 companies how they were using AI in their operations and to learn what separated the highest-performing companies from the rest. They conducted a similar survey in 2023 to see what had changed. They found that the gap between leading companies and the rest had widened; that the payback-period for AI investments was much shorter; and that leading companies were better at identifying and implementing use cases that delivered p

AI 181
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What is Beam Search in NLP Decoding?

Analytics Vidhya

Beam search is a powerful decoding algorithm extensively used in natural language processing (NLP) and machine learning. It is especially important in sequence generation tasks such as text generation, machine translation, and summarization. Beam search balances between exploring the search space efficiently and generating high-quality output. In this blog, we will dive deep into the […] The post What is Beam Search in NLP Decoding?

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HPE data breach could be a nightmare for its customers

Dataconomy

The hacker known as IntelBroker has claimed responsibility for breaching Hewlett Packard Enterprise (HPE), exposing sensitive data, including source code, certificates, and personally identifiable information (PII), now available for sale online. This incident was revealed in a conversation with Hackread.com and later announced on Breach Forums, a cybercrime forum the hacker administers.

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What Are Large Language Models? A Beginner’s Guide for 2025

KDnuggets

Curious about what LLMs are and want to know about them? Explore the Full Guide Right Here, Right Now!

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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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1996 "Authentic" Beta Pokemon Cards Exposed as 2024 Prints via Printer Dots

Hacker News

About the tracking dots Most home and office printers add metadata to printed sheets in the form of very tiny yellow dots (sometimes called a machine identification code) that cant be seen with the naked eye. The layout of the dots are different between printer brands and some dont leave any at all. Information like serial number and sometime the print time is encoded in these dots.

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Bodo.ai Open-Sources HPC Python Compute Engine

insideBIGDATA

SAN MATEO, Calif., Jan. 27, 2025 — Bodo.ai, an open source start-up focused on transformative Python, has released its high performance computing engine for Python under the Apache License. The need to process ever-larger amounts of data with higher precision, faster speeds, lower costs, and a smaller carbon footprint has grown exponentially. Bodo.

Python 195
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What Is China’s DeepSeek and Why Is It Freaking Out the AI World?

Flipboard

DeepSeek, an AI startup just over a year old, stirred awe and consternation in Silicon Valley with its breakthrough artificial intelligence model that offered comparable performance to the worlds best chatbots at seemingly a fraction of the cost.

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Exploring AI Agents in Customer Experience with Navin Dhananjaya

Analytics Vidhya

In this Leading with Data, we explore the transformative journey of Navin Dhananjaya, Chief Solutions Officer at Merkle, as he shares key milestones, practical applications of generative AI, and future possibilities for AI agents. Discover how AI is reshaping customer experiences and the data science landscape. You can listen to this episode of Leading with […] The post Exploring AI Agents in Customer Experience with Navin Dhananjaya appeared first on Analytics Vidhya.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Quantum vs. AI: Which tech stocks are winning the investment race?

Dataconomy

Quantum computing has gained significant attention on Wall Street following Alphabet’s (GOOG 1.62%) (GOOGL 1.60%) announcement of a milestone with its new quantum chip, Willow. Alphabet stated that Willow can exponentially reduce errors as it scales up, completing a standard benchmark computation in five minutesan operation that would take one of the fastest supercomputers today 10 septillion years.

AI 196
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Don’t Manage Your Python Environments, Just Use Docker Containers

KDnuggets

Python environment management can sometimes give you that awful feeling in the pit of your stomach. So don't do it: just use Docker containers.

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DeepSeek R1 on Databricks

databricks

Deepseek-R1 is a state-of-the-art open model that, for the first time, introduces the reasoning capability to the open source community. In particular, the.

AI 333
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Bluwhale Secures $100M for Web3 Layer across L1 and L2 Blockchains 

insideBIGDATA

SAN FRANCISCO Jan. 28, 2025Bluwhale, an AI Web3 start-up, today announces that it has topped its funding to $100 million. This includes its Seed/Series A round as well as a $75 million token purchase commitment, grants, and node sale proceeds.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.