February, 2025

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Data Science for Humanity: One of the First-Ever Machine Learning Models to Aid in the War Crisis- Russian Ukrainian

Towards AI

Last Updated on February 10, 2025 by Editorial Team Author(s): MSVPJ Sathvik Originally published on Towards AI. We have all been seeing the transformation of data science from being used extensively in technical domains for analysis to being used as an excellent tool for solving social and global issues. It has helped open different perspectives on significant global crises in various fields, such as poverty and overpopulation.

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How AI Improves Nondestructive Testing

ODSC - Open Data Science

Artificial intelligence (AI) is necessary in every sector now, as it analyzes large amounts of data, offers query-based determinations, and helps businesses innovate. Tech experts combine its potential with nondestructive testing (NDT) to rewrite how corporations execute evaluations. What does this look like, and how does AIhelp? What Is Nondestructive Testing?

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Banks are turning to AI—Pavel Baltabayev shows them how

Dataconomy

Artificial intelligence is already generating significant revenue for banks, and its future advancements promise even greater benefits. JPMorgan CEO Jamie Dimon, in a Bloomberg interview, emphasized that AI-driven solutions will reshape financial institutions by addressing critical operational challenges. One of the most pressing issues in banking today is the lack of time and resources to respond efficiently to customer inquiries.

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3 Ways to Secure Your Data Science Job From Layoffs in 2025

KDnuggets

As tech layoffs increase, data scientists must adapt. Here's how to safeguard your data science job in 2025.

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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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DeepSeek AI: How it Makes High-Powered LLMs Accessible on Budget Hardware?

Data Science Dojo

In the fast-paced world of artificial intelligence, the soaring costs of developing and deploying large language models (LLMs) have become a significant hurdle for researchers, startups, and independent developers. As tech giants like OpenAI, Google, and Microsoft continue to dominate the field, the price tag for training state-of-the-art models keeps climbing, leaving innovation in the hands of a few deep-pocketed corporations.

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Data Science in Mental Health: How We Integrated Dunn’s Model of Wellness in Mental Health Diagnosis Through Social Media Data

Towards AI

Author(s): MSVPJ Sathvik Originally published on Towards AI. The World Health Organization suggests that about one in four people in todays world experience mental health conditions at some point in their lives, which are not only confined to emotional well-being but also physical, social, and cognitive abilities. Counselling session by a therapist In our work on medical diagnosis, we have focused on identifying conditions such as depression and anxiety for suicide risk detection using large lan

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Words Matter: Are Language Barriers Driving Quiet Failures in AI

Towards AI

Author(s): Kris Naleszkiewicz Originally published on Towards AI. The AI revolution is upon us, transforming how we work, live, and interact with the world. Yup. We know. Weve all heard. The media loves to cover spectacular successes and failures. But what about the quiet failures? The stalled projects. The initiatives that never quite get off the ground.

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How Rocket Companies modernized their data science solution on AWS

AWS Machine Learning Blog

This post was written with Dian Xu and Joel Hawkins of Rocket Companies. Rocket Companies is a Detroit-based FinTech company with a mission to Help Everyone Home. With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. This comprehensive framework streamlines every step of the homeownership journey, empowering consumers to search, purchase, and manage home financing effortlessly.

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Social Links Launches Darkside AI Initiative to Address Cybercrime and Misinformation

insideBIGDATA

Social Links, an open-source intelligence (OSINT) solutions company, has announced the Darkside AI initiative designed to combat the rising misapplication of artificial intelligence in cybercrime, disinformation, and digital fraud. Social Links is inviting enterprises, researchers, policymakers and individual experts.

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A Comprehensive Guide to Pre-training LLMs

Analytics Vidhya

We’re already into the second month of 2025, and every passing day brings us closer to Artificial General Intelligence (AGI)AI that can tackle complex problems across multiple sectors at a human level. Take DeepSeek, for instance. Until recently, could you have imagined an organization before 2024 that could build a cutting-edge Generative AI model for […] The post A Comprehensive Guide to Pre-training LLMs appeared first on Analytics Vidhya.

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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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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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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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Starbucks lays off over 1,000 jobs and slashes 30% of its menu

Dataconomy

Starbucks announced on Monday that it will lay off over 1,000 corporate workers and simplify its menu in a bid to turn around lagging sales. The restructuring aims to streamline operations as the coffee chain continues to face challenges. Starbucks to lay off over 1,000 workers and cut menu by 30% The company plans to cut about 30% of its menu, including several Frappuccino blended drinks, the Royal English Breakfast Latte, and White Hot Chocolate.

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AI Hype Will Plunge America Into Financial Ruin, Economist Warns

Flipboard

What hasn't been said about artificial intelligence? It's a disruptor, a game changer, the next technological revolution. Soon we'll all be chilling with our feet up while our AI assistants do all the heavy lifting right? One economist isn't so sure. A new study by Caleb Maresca at New York University predicts that just the looming possibility of transformative AI has the potential to completely upend the economy in a bad way, decimating wages and sending interest rates skyward.

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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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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.

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China’s New AI Video Star: Step-Video-T2V

Analytics Vidhya

China is advancing rapidly in generative AI, building on successes like DeepSeek models and Kimi k1.5 in language models. Now, its leading the vision domain with OmniHuman and Goku excelling in 3D modeling and video synthesis. With Step-Video-T2V, China directly challenges top text-to-video models like Sora, Veo 2, and Movie Gen. Developed by Stepfun AI, […] The post Chinas New AI Video Star: Step-Video-T2V appeared first on Analytics Vidhya.

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Master Data Annotation in LLMs: A Key to Smarter and Powerful AI!

Data Science Dojo

Large Language Models ( LLMs ) have emerged as a cornerstone technology in the rapidly evolving landscape of artificial intelligence. These models are trained using vast datasets and powered by sophisticated algorithms. It enables them to understand and generate human language,transforming industries from customer service to content creation. A critical component in the success of LLMs is data annotation, a process that ensures the data fed into these models is accurate, relevant, and meaningful

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Framework’s first desktop is a strange—but unique—mini ITX gaming PC

Hacker News

The original Framework Laptops sales pitch was that it wanted to bring some of the modularity and repairability of the desktop PC ecosystem to a functional, thin-and-light laptop. For nearly half a decade, the company has made good on that promise with multiple motherboard upgrades and other tweaks for the original 13-inch Framework Laptop; with the Framework Laptop 16 and Laptop 12, the company has tried to bring the same ethos to gaming/workstation laptops and budget PCs for students.

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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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Microsoft expands Phi line with new multimodal models

Dataconomy

Microsoft Corp. has expanded its Phi line of open-source language models with the introduction of two new algorithms designed for multimodal processing and hardware efficiency: Phi-4-mini and Phi-4-multimodal. Phi-4-mini and Phi-4-multimodal features Phi-4-mini is a text-only model that incorporates 3.8 billion parameters, enabling it to run efficiently on mobile devices.

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

Flipboard

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Amazon Q Business , a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprises systems. Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management.

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VAST Data Adds Blocks to Unified Storage Platform

insideBIGDATA

VAST Data today announced the addition of block storage to its data platform, completing what the company said is its vision for the VAST DataStore as a universal storage platform that now encompasses files, objects and blocks.

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DeepSeek-R1 vs DeepSeek-V3: Detailed Comparison

Analytics Vidhya

DeepSeek has made significant strides in AI model development, with the release of DeepSeek-V3 in December 2024, followed by the groundbreaking R1 in January 2025. DeepSeek-V3 is a Mixture-of-Experts (MoE) model that focuses on maximizing efficiency without compromising performance. DeepSeek-R1, on the other hand, incorporates reinforcement learning to enhance reasoning and decision-making.

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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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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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Distributed Systems Programming Has Stalled

Hacker News

Over the last decade, weve seen great advancements in distributed systems, but the way we program them has seen few fundamental improvements. While we can sometimes abstract away distribution (Spark, Redis, etc.), developers still struggle with challenges like concurrency, fault tolerance, and versioning. There are lots of people (and startups) working on this.

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O-SAIF pushes for open-source government AI

Dataconomy

A new organization, the Open-Source AI Foundation (O-SAIF) , has launched with a mission to end closed-source artificial intelligence contracts in civilian government agencies. The foundation argues that open-source AI promotes transparency, security, and responsible spending of taxpayer dollars , making it a necessary standard for government technology.

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DeepSeek goes beyond “open weights” AI with plans for source code release

Flipboard

Last month, DeepSeek turned the AI world on its head with the release of a new, competitive simulated reasoning model that was free to download and use under an MIT license. Now, the company is preparing to make the underlying code behind that model more accessible, promising to release five open source repos starting next week. In a social media post late Thursday , DeepSeek said the daily releases it is planning for its "Open Source Week" would provide visibility into "these humble building bl

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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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InFlux Technologies Debuts AI-Based Document Intelligence

insideBIGDATA

CAMBRIDGE, UK Feb. 14, 2025InFlux Technologies (Flux), a decentralized technology company specializing in cloud infrastructure, AI and decentralized cloud computing services, has launched FluxINTEL, an advanced document intelligence engine designed to help businesses analyze critical data with greater speed and insight.

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Claude 3.7 Sonnet vs Grok 3: Which LLM is Better at Coding?

Analytics Vidhya

Since last June, Anthropic has ruled over the coding benchmarks with its Claude 3.5 Sonnet. Today with its latest Claude 3.7 Sonnet LLM, it’s here to shake the world of generative AI even more. Claude 3.7 Sonnet much like Grok 3, released a week ago – comes with advanced reasoning, mathematical, and coding abilities. Both […] The post Claude 3.7 Sonnet vs Grok 3: Which LLM is Better at Coding?

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Transfer Learning in Scalable Graph Neural Network for Improved Physical Simulation

Machine Learning Research at Apple

In recent years, graph neural network (GNN) based models showed promising results in simulating complex physical systems. However, training dedicated graph network simulator can be costly, as most models are confined to fully supervised training. Extensive data generated from traditional simulators is required to train the model. It remained unexplored how transfer learning could be applied to improve the model performance and training efficiency.

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Hard problems that reduce to document ranking

Hacker News

There are two claims I’d like to make: LLMs can be used effectively1 for listwise document ranking. Some complex problems can (surprisingly) be solved by transforming them into document ranking problems. I’ve primarily explored both of these claims in the context of using patch diffing to locate N-day vulnerabilitiesa sufficiently domain-specific problem that can be solved using general purpose language models as comparators in document ranking algorithms.

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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.