2025

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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
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F1 Score: A Key Metric in LLM Evaluation

Data Science Dojo

Evaluating the performance of Large Language Models (LLMs) is an important and necessary step in refining it. LLMs are used in solving many different problems ranging from text classification and information extraction. Choosing the correct metrics to measure the performance of an LLM can greatly increase the effectiveness of the model. In this blog, we will explore one such crucial metric the F1 score.

AI 359
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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.

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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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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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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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Towards AI-Driven Sign Language Generation with Non-Manual Markers

Machine Learning Research at Apple

Sign languages are essential for the Deaf and Hard-of-Hearing (DHH) community. Sign language generation systems have the potential to support communication by translating from written languages, such as English, into signed videos. However, current systems often fail to meet user needs due to poor translation of grammatical structures, the absence of facial cues and body language, and insufficient visual and motion fidelity.

AI 259

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Children's arithmetic skills do not transfer between applied and academic math

Hacker News

Many children from low-income backgrounds worldwide fail to master school mathematics1; however, some children extensively use mental arithmetic outside school2,3. Here we surveyed children in Kolkata and Delhi, India, who work in markets (n = 1,436), to investigate whether maths skills acquired in real-world settings transfer to the classroom and vice versa.

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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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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.

AI 157
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Introducing SAP Databricks

databricks

Today we are announcing a deep partnership with SAP which we think can be game changing for our industry. In short, it is.

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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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IBM Adds Granite 3.2 LLMs for Multi-Modal AI and Reasoning

insideBIGDATA

IBM (NYSE: IBM) today announced additions to its Granite portfolio of large language models intended to deliver small, efficient enterprise AI. The new Granite 3.

AI 402
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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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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.

Python 344
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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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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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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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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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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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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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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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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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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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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

Artificial intelligence is evolving rapidly, reshaping industries from healthcare to finance, and even creative arts. If you want to stay ahead of the curve, networking with top AI minds, exploring cutting-edge innovations, and attending AI conferences is a must. According to Statista, the AI industry is expected to grow at an annual rate of 27.67% , reaching a market size of US$826.70bn by 2030.

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A Gentle Introduction to Rust for Python Programmers

KDnuggets

Rust is a systems programming language that offers high performance and safety. Python programmers will find Rust's syntax familiar but with more control over memory and performance.

Python 335
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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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The Data Engineering Grease, Guts & Gears Behind AI

Adrian Bridgwater for Forbes

Alonside data management frameworks, a holistic approach to data engineering for AI is needed along with data provenance controls and data preparation tools.

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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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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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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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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.

AI 175
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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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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.