Sat.Feb 15, 2025 - Fri.Feb 21, 2025

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Copyright Policies for AI-Generated Content: The Global Landscape

Towards AI

Author(s): Mohit Sewak, Ph.D. Originally published on Towards AI. Copyrighting the Clones: Is AI the Future Picasso or Just a Fancy Photocopier? Lets come straight to the point and kick things off with a place you know pretty well good ol USA! Section 1: Uncle Sam Says No Robots Allowed in Copyright Town (USA) Ah, America! Land of the free, home of the brave, and sticklers for human-made art.

AI 67
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Understanding Machine Learning Challenges: Insights for Professionals

Pickl AI

Summary: Machine Learning’s key features include automation, which reduces human involvement, and scalability, which handles massive data. It uses predictive modelling to forecast future events and adaptiveness to improve with new data, plus generalization to analyse fresh data. Introduction: The Reality of Machine Learning Consider a healthcare organisation that implemented a Machine Learning model to predict patient outcomes based on historical data.

professionals

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Like a snake eating its own tail: What happens when AI consumes its own data? : Short Wave

Flipboard

Asked ChatGPT anything lately? Talked with a customer service chatbot? Read the results of Google's "AI Overviews" summary feature? If you've used the Internet lately, chances are, you've been consuming content created by a large language model.

AI 156
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Helix: A Vision-Language-Action Model for Generalist Humanoid Control

Hacker News

Figure was founded with the ambition to change the world.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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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Understanding RAG Part V: Managing Context Length

Machine Learning Mastery

Conventional LLMs had context length limit, which restricts the amount of information processed in a single user-model interaction, as one of their major limitations. Where do RAGs play into this?

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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.

More Trending

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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

AI 178
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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.

AI 167
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Survey Finds 25% of Data Managers Greenlight Any Projects Powered by AI

insideBIGDATA

For enterprise data teams, GenAI expectations are sky-high, and a new survey finds that management often leads the charge. A quarter of executives (25 percent) say their leaders will greenlight any project with AI as a core component, while the largest group (44 percent) are a bit more.

AI 273
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A Quick Guide to PyLab

Analytics Vidhya

Python has become the lingua franca for scientific computing and data visualization, thanks in large part to its rich ecosystem of libraries. One such tool that has been a favourite among researchers and practitioners alike is PyLab. In this article, we will delve into the world of PyLab, exploring its origins, features, practical use cases, […] The post A Quick Guide to PyLab appeared first on Analytics Vidhya.

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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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Reinforcement Learning Triples Spot’s Running Speed

Flipboard

About a year ago, Boston Dynamics released a research version of its Spot quadruped robot , which comes with a low-level application programming interface (API) that allows direct control of Spots joints. Even back then, the rumor was that this API unlocked some significant performance improvements on Spot, including a much faster running speed. That rumor came from the Robotics and AI (RAI) Institute , formerly The AI Institute, formerly the Boston Dynamics AI Institute , and if you were at Mar

AI 181
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Amazon remembers it has an Android app store, kills it

Hacker News

After 14 years of trying and failing to gain a smartphone foothold, Amazon has announced it will discontinue its app store. Anyone who has content in Amazon's store will be able to access it for now, but all bets are off beginning on August 20, 2025. As part of the pull-back, the company is also discontinuing the Amazon Coins digital currency. The Amazon Appstore made waves when it launched in 2011 , offering an alternative to what at the time was known as the Android Market.

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Together AI Cloud Raises $305M Series B

insideBIGDATA

SAN FRANCISCO, February 20, 2025 — AI acceleration cloud complany Together AIannounced a $305 million Series B investment led by General Catalyst and co-led by Prosperity7.

AI 195
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Grok 3 vs DeepSeek R1: Which is Better?

Analytics Vidhya

Just a few months ago, DeepSeek shook the AI world with its V3, R1, and Janus models. And recently, Elon Musk’s Grok 3 has joined the party! With the claim of being the smartest AI on Earth, expectations from Grok 3 are quite high. As per the official benchmarks shared by the xAI team at […] The post Grok 3 vs DeepSeek R1: Which is Better?

Analytics 276
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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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7 MLOPs Projects for Beginners

KDnuggets

Develop AI applications, test them, and deploy on the cloud using user-friendly MLOps tools and straightforward methods.

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Improving Retrieval and RAG with Embedding Model Finetuning

databricks

Finetuning Embedding Models for Better Retrieval and RAG TL;DR: Finetuning an embedding model on in-domain data can significantly improve vector search and retrieval-augmented generation (RAG).

AI 317
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British Business Investments Commits £10M to Twin Path Ventures for UK AI

insideBIGDATA

20th February 2025, London — Twin Path Ventures, a UK pre-seed investor in AI-first startups, has received support from British Business Investments for its strategy to invest in UK-based tech founders building and launching AI-powered solutions.

AI 195
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OLMo 2 vs. Claude 3.5 Sonnet: Which is Better?

Analytics Vidhya

The AI industry is divided between two powerful philosophies – Open-source democratization and proprietary innovation. OLMo 2(Open Language Model 2), developed by AllenAI, represents the pinnacle of transparent AI development with full public access to its architecture and training data. In contrast, Claude 3.5 Sonnet, Anthropics flagship model, prioritizes commercial-grade coding capabilities and multimodal reasoning […] The post OLMo 2 vs.

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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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Parallelize NumPy Array Operations for Increased Speed

KDnuggets

Enhance the array operational process with methods you may not have previously known.

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Google’s new AI generates hypotheses for researchers

Flipboard

Over the past few years, Google has embarked on a quest to jam generative AI into every product and initiative possible. Google has robots summarizing search results, interacting with your apps, and analyzing the data on your phone. And sometimes, the output of generative AI systems can be surprisingly good despite lacking any real knowledge. But can they do science?

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Large language models (LLMs) excel at generating human-like text but face a critical challenge: hallucinationproducing responses that sound convincing but are factually incorrect. While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings.

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Grok 3 is Here! And What It Can Do Will Blow Your Mind!

Analytics Vidhya

Elon Musk has just unveiled x.AIs latest model, Grok 3 – known to be the smartest and most powerful AI in the world. This new AI chatbot from x.AI comes with exceptional reasoning capabilities and advanced features like Deep Search. Trained on the powerful Colossus Supercomputer, Grok 3 proves to be a tough competitor to […] The post Grok 3 is Here!

Analytics 286
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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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Satya Nadella just exposed AI’s biggest lie

Dataconomy

Microsoft CEO Satya Nadella emphasized the need for realistic expectations regarding artificial intelligence (AI) during a recent podcast interview , citing the lack of meaningful economic impact from current AI spending and hype. Microsoft CEO stresses need for realistic AI expectations Nadella’s remarks aimed at the tech industry advocate for a focus on measurable outcomes, asserting that success should be quantified by global economic growth rather than theoretical achievements of AI sy

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Large Law Firm Sends Panicked Email as It Realizes Its Attorneys Have Been Using AI to Prepare Court Documents

Flipboard

The law firm Morgan & Morgan has rushed out astern email to its attorneys after two of them were caught citing fake court cases invented by an AI model, Reuters reports. Sent earlier this month to all of its over 1,000 lawyers, the email warns at length about the tech's proclivity for hallucinating. But the pros of the tech, apparently, still outweigh the cons; rather than banning AI usage something that plenty of organizations have done Morgan & Morgan leadership take the middle road

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Upskill on foundational data and AI competencies with free training from Databricks

databricks

As part of our commitment to help upskill the current and future workforce, we are excited to announce new, free courses to help professionals learn.

AI 273
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Apache Iceberg vs Delta Lake vs Hudi: Best Open Table Format for AI/ML Workloads

Analytics Vidhya

If you’re working with AI/ML workloads(like me) and trying to figure out which data format to choose, this post is for you. Whether you’re a student, analyst, or engineer, knowing the differences between Apache Iceberg, Delta Lake, and Apache Hudi can save you a ton of headaches when it comes to performance, scalability, and real-time […] The post Apache Iceberg vs Delta Lake vs Hudi: Best Open Table Format for AI/ML Workloads appeared first on Analytics Vidhya.

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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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How Neurosymbolic AI merges logical reasoning with LLMs

Dataconomy

AI is good at pattern recognition but struggles with reasoning. Meanwhile, human cognition is deeply rooted in logic and coherence. What if we could combine the best of both worlds the raw processing power of Large Language Models (LLMs) and the structured, rule-based thinking of symbolic AI? This is the goal behind Neurosymbolic AI , a new approach that merges deep learning with coherence-driven inference (CDI).

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AI making up cases can get lawyers fired, scandalized law firm warns

Flipboard

Morgan & Morganwhich bills itself as "America's largest injury law firm" that fights "for the people"learned the hard way this month that even one lawyer blindly citing AI-hallucinated case law can risk sullying the reputation of an entire nationwide firm. In a letter shared in a court filing, Morgan & Morgan's chief transformation officer, Yath Ithayakumar, warned the firms' more than 1,000 attorneys that citing fake AI-generated cases in court filings could be cause for disciplinary ac

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Using DistilBERT for Resource-Efficient Natural Language Processing

KDnuggets

DistilBERT is a smaller, faster version of BERT that performs well with fewer resources. Its perfect for environments with limited processing power and memory.

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7 Real-world Applications of DeepSeek V3

Analytics Vidhya

DeepSeekV3 is sparking a seismic shift in the AI arena. Developed by DeepSeekAI, this 671billionparameter MixtureofExperts (MoE) model trained on 14.8 trillion tokens challenges proprietary giants like GPT4o and Claude 3.5 Sonnet. With a design that dynamically allocates specialized experts for each input, DeepSeekV3 delivers high performance, cost efficiency, and unprecedented flexibility.

Analytics 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!