January, 2025

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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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Sam Altman, OpenAI: ‘Lucky and humbling’ to work towards superintelligence

AI News

Sam Altman, CEO and co-founder of OpenAI , has shared candid reflections on the companys journey as it aims to achieve superintelligence. With ChatGPT recently marking its second anniversary, Altman outlines OpenAIs achievements, ongoing challenges, and vision for the future of AI. The second birthday of ChatGPT was only a little over a month ago, and now we have transitioned into the next paradigm of models that can do complex reasoning, Altman reflects.

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Daniel Cane, Co-CEO and Co-Founder of ModMed – Interview Series

Unite.AI

Daniel Cane is co-CEO and cofounder of South Florida-based ModMed , a healthcare IT company that is transforming healthcare through specialty-specific, intelligent platforms to increase practice efficiency and improve patient outcomes. Founded in February 2010, ModMed has grown to over 1,200 employees and has raised over $332 million in total investment.

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DeepSeek R1 vs OpenAI o1: Which One is Faster, Cheaper and Smarter?

Analytics Vidhya

The DeepSeek R1 has arrived, and it’s not just another AI modelit’s a significant leap in AI capabilities, trained upon the previously released DeepSeek-V3-Base variant. With the full-fledged release of DeepSeek R1, it now stands on par with OpenAI o1 in both performance and flexibility. What makes it even more compelling is its open weight […] The post DeepSeek R1 vs OpenAI o1: Which One is Faster, Cheaper and Smarter?

OpenAI 367
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Speeding Robotics Automation with AI

The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.

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AI News Weekly - Issue #421: In AI copyright case, Zuckerberg turns to YouTube for his defense - Jan 16th 2025

AI Weekly

In the News In AI copyright case, Zuckerberg turns to YouTube for his defense Meta CEO Mark Zuckerberg appears to have used YouTubes battle to remove pirated content to defend his own companys use of a data set containing copyrighted e-books, reveals newly released snippets of a deposition he gave late last year. techcrunch.com Sponsor Discover what the most trusted industry experts are reading Use the Power of AI to access a forward-thinking audience of professional decision makers !

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28 AI Marketing Tools to Save Time and Boost Performance

Flipboard

Artificial intelligence is transforming digital marketing by empowering us to do our best work. The right AI marketing tools will help you automate repetitive tasks, make data-driven decisions, and unblock your creativity. They ultimately let us get back to the work we find more meaningful, like strategy, creativity, innovation, and relationship-building.

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AI giants pay thousands for creators’ unused footage to train models

AI News

The race for AI video training has taken an unexpected turn. Major tech companies are now paying content creators thousands of dollars for their unused footage, marking a significant shift in how artificial intelligence companies acquire training data. In a revealing report from Bloomberg , tech giants including Google, OpenAI, and Moonvalley are actively seeking exclusive, unpublished video content from YouTubers and digital content creators to train AI algorithms.

Big Data 297
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The Dual-Edged Sword of AI in Cybersecurity: Opportunities, Threats, and the Road Ahead

Unite.AI

As we move into 2025, the cybersecurity landscape is entering a critical period of transformation. The advancements in artificial intelligence that have driven innovation and progress for the last several years, are now poised to become a double-edged sword. As security professionals, these tools promise new capabilities for defense and resilience. On the other hand, they are being co-opted more and more by malicious actors , leading to a rapid escalation in the sophistication and scale of cyber

AI 290
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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.

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Agentic AI Explained: Smarter Conversations, Better Experiences

AI has transformed how enterprises deliver customer service, enabling faster engagement, problem-solving, and cost savings. However, traditional AI Agents often rely on rigid conversation flows, risking customer trust when conversations stray from predefined paths. These limitations prevent businesses from fully realizing AI’s potential for cost-efficiency and productivity.

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Top 9 Different Types of Retrieval-Augmented Generation (RAGs)

Marktechpost

Retrieval-Augmented Generation (RAG) is a machine learning framework that combines the advantages of both retrieval-based and generation-based models. The RAG framework is highly regarded for its ability to handle large amounts of information and produce coherent, contextually accurate responses. It leverages external data sources by retrieving relevant documents or facts and then generating an answer or output based on the retrieved information and the user query.

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How AI Is Helping Us Do Better—for the Planet and for Each Other

NVIDIA

Artificial intelligence and accelerated computing are being used to help solve the worlds greatest challenges. NVIDIA has reinvented the computing stack spanning GPUs, CPUs, DPUs, networking and software. Our platform drives the AI revolution, powering hundreds of millions of devices in every cloud and fueling 75% of the worlds TOP500 supercomputers.

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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

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Meta accused of using pirated data for AI development

AI News

Plaintiffs in the case of Kadrey et al. vs. Meta have filed a motion alleging the firm knowingly used copyrighted works in the development of its AI models. The plaintiffs, which include author Richard Kadrey, filed their Reply in Support of Plaintiffs Motion for Leave to File Third Amended Consolidated Complaint in the United States District Court in the Northern District of California.

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The AI Productivity Shift: How 3,000 Pros And 140K Users Are Transforming Work

Hubstaff’s new report, The AI Productivity Shift, highlights how 3,000+ professionals and 140,000+ users are transforming the way they work with AI. Adoption is high—85% are using AI—and the potential is just beginning. Teams that integrate AI into daily workflows report 77% faster task completion, 70% improved focus, and stronger results across the board.

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Rethinking AI: The Push for a Right to Repair Artificial Intelligence

Unite.AI

Artificial Intelligence (AI) is no longer just a fictional concept. It is a driving force behind some of the most astonishing changes in industries like healthcare, transportation, and entertainment. These systems, from self-driving cars to AI-powered diagnostic tools, are essential to our daily lives. Yet, as these systems become more complex and embedded in critical industries, a question arises that many have yet to consider: Why cant we repair AI systems the same way we repair our phones or

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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.

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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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NVIDIA Releases NIM Microservices to Safeguard Applications for Agentic AI

NVIDIA

AI agents are poised to transform productivity for the worlds billion knowledge workers with knowledge robots that can accomplish a variety of tasks. To develop AI agents, enterprises need to address critical concerns like trust, safety, security and compliance. New NVIDIA NIM microservices for AI guardrails part of the NVIDIA NeMo Guardrails collection of software tools are portable, optimized inference microservices that help companies improve the safety, precision and scalability of their g

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From Curiosity to Competitive Edge: How Mid-Market CEOs Are Using AI to Scale Smarter

Speaker: Lee Andrews, Founder at LJA New Media & Tony Karrer, Founder and CTO at Aggregage

This session will walk you through how one CEO used generative AI, workflow automation, and sales personalization to transform an entire security company—then built the Zero to Strategy framework that other mid-market leaders are now using to unlock 3.5x ROI. As a business executive, you’ll learn how to assess AI opportunities in your business, drive adoption across teams, and overcome internal resource constraints—without hiring a single data scientist.

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Secure a generative AI assistant with OWASP Top 10 mitigation

Flipboard

A common use case with generative AI that we usually see customers evaluate for a production use case is a generative AI-powered assistant. However, before it can be deployed, there is the typical production readiness assessment that includes concerns such as understanding the security posture, monitoring and logging, cost tracking, resilience, and more.

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UK Government signs off sweeping AI action plan  

AI News

AI is set to become a cornerstone of the UKs vision for economic and societal renewal with a sweeping action plan unveiled today by Prime Minister Keir Starmer. The government has committed to all 50 recommendations outlined in the ambitious AI Opportunities Action Plan created by Matt Clifford CBE, tech entrepreneur and chair of the Advanced Research and Invention Agency.

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DeepSeek-R1: Transforming AI Reasoning with Reinforcement Learning

Unite.AI

DeepSeek-R1 is the groundbreaking reasoning model introduced by China-based DeepSeek AI Lab. This model sets a new benchmark in reasoning capabilities for open-source AI. As detailed in the accompanying research paper , DeepSeek-R1 evolves from DeepSeeks v3 base model and leverages reinforcement learning (RL) to solve complex reasoning tasks, such as advanced mathematics and logic, with unprecedented accuracy.

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30 Must-Try Computer Vision Projects for 2025

Analytics Vidhya

Computer vision, a dynamic field blending artificial intelligence and image processing, is reshaping industries like healthcare, automotive, and entertainment. With advancements such as OpenAIs GPT-4 Vision and Metas Segment Anything Model (SAM), computer vision has become more accessible and powerful than ever. By 2025, the global computer vision market is projected to surpass $41 billion, fueled by innovations in […] The post 30 Must-Try Computer Vision Projects for 2025 appeared first o

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Prospect, Personalize, Profit: The New Way Sales & Marketing Teams Are Aligning with AI

Speaker: Kevin Burke, Founder & Managing Director at Digital One and AI & Automation Consultant

AI and automation are currently transforming the way sales and marketing teams operate. Generative AI crafts personalized outreach at scale, while conversational AI bots are engaging prospects in real time. Robotic process automation streamlines manual workflows by triggering tasks the moment a prospect takes a key action, and advanced AI analytics surface hidden patterns in the pipeline, improve forecasting, and help teams make data-driven decisions with confidence.

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Heavy Machinery and AI are Going to Disrupt Traditional Industries

Aiiot Talk

The convergence of artificial intelligence and advanced machinery is poised to transform traditional industries in ways few could have imagined just a decade ago. From construction sites to manufacturing plants, the integration of AI-powered systems with heavy equipment is creating new paradigms of efficiency and productivity while simultaneously raising important questions about the future of work.

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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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AI Has Changed Student Cheating. But Strategies to Stop It Remain Consistent.

Flipboard

Teachers and professors can make adjustments in how they teach that will greatly reduce incidents of student cheating with AI. It turns out, those changes arent much different than what worked to deter previous cheating methods. Thats the argument of Tricia Bertram Gallant, a longtime expert in academic integrity who is director of the Academic Integrity Office at the University of California San Diego.

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Microsoft advances materials discovery with MatterGen

AI News

The discovery of new materials is key to solving some of humanity’s biggest challenges. However, as highlighted by Microsoft , traditional methods of discovering new materials can feel like finding a needle in a haystack. Historically, finding new materials relied on laborious and costly trial-and-error experiments. More recently, computational screening of vast materials databases helped to speed up the process, but it remained a time-intensive process.

Big Data 314
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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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Teen ChatGPT Usage Surges: What Does This Mean for Education?

Unite.AI

The numbers are clear: teen ChatGPT use for schoolwork has doubled since 2023. This is not a minor shift. It is a signal that students are taking a drastic new approach to learning. Let's look at what's actually happening in schools right now. The latest Pew Research data shows 26% of teens are now using ChatGPT for schoolwork, up from 13% in 2023. This dramatic increase happened in a fairly short amount of time, and the trend line keeps pointing up.

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OpenAI’s New Function Calling Guide

Analytics Vidhya

OpenAI has announced the release of its brand-new Function Calling Guide, designed to help developers extend the capabilities of OpenAI models by integrating custom tools and functions. Based on extensive user feedback, the guide has been revamped to be 50% shorter and clearer, featuring new best practices, in-doc function generation, and a fully functional example […] The post OpenAI’s New Function Calling Guide appeared first on Analytics Vidhya.

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Python Speech Recognition in 2025

AssemblyAI

If you're looking to implement Automatic Speech Recognition (ASR) in Python, you may have noticed that there is a wide array of available options. Navigating these choices can be daunting, but we’re here to guide you. Broadly, Python speech recognition and Speech-to-Text solutions can be categorized into two main types: open-source libraries and cloud-based services.

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