How we used generative AI to build our year-in-review campaign| Canva - Engineering Blog
Qualitative comparison of image embedding models to power a scalable similar-image replacement system for Canva designs.| Canva - Engineering Blog
How we improved Canva’s private design search while respecting the privacy of our community.| Canva - Engineering Blog
Last Updated on September 4, 2025 by Editorial Team Author(s): Shivang Doshi Originally published on Towards AI. Image generated using ChatGPT Why you should care Large‑language models (LLMs) are now embedded in products that answer emails, summarise documents and write code. They do this by ingesting two things: model weights (often trained on vast web corpora) and inputs retrieved on demand through tools like Retrieval‑Augmented Generation (RAG). That open edge also makes them a soft ta...| Towards AI
Last Updated on September 4, 2025 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. A RAG-based pipeline where Perplexity reasons, Serper finds, Pinecone remembers, Azure OpenAI creates, and Streamlit presents. Have you ever read a news story and thought, “Wow, this should be a movie!”? A daring heist, a forgotten historical event, a heartwarming tale of an underdog… the world is full of incredible stories just waiting to be told. First content image of the a...| Towards AI
Last Updated on September 4, 2025 by Editorial Team Author(s): hideya Originally published on Towards AI. Credit: Lukas on pexels; edited by me Introduction Large Language Models (LLMs) are evolving at an incredible pace — getting smarter, faster, and cheaper almost every month. Recently, even an open-source version of ChatGPT, “gpt-oss,” has appeared. At the same time, MCP (Model Context Protocol) servers have matured into powerful, practical tools. In fact, for many routine tasks, eve...| Towards AI
Last Updated on September 4, 2025 by Editorial Team Author(s): Katherine Munro Originally published on Towards AI. Concrete advice for teams building LLM-powered evaluations My last post was all about conceptual problems with using Large Language Models to judge other LLMs. All images: Author provided.The article discusses the practical challenges of using Large Language Models (LLMs) as judges in evaluations, highlighting issues such as non-determinism in both the LLMs being evaluated and th...| Towards AI
Last Updated on September 4, 2025 by Editorial Team Author(s): Harsh Chandekar Originally published on Towards AI. Imagine uploading a cute cat photo to Google’s Gemini AI for a quick analysis, only to have it secretly whisper instructions to steal your Google data. Sounds like a plot from a sci-fi thriller, right? Well, it’s not fiction — it’s a real vulnerability in Gemini’s image processing. In this post, we’ll dive into how hackers are embedding invisible commands in images, t...| Towards AI
Last Updated on September 4, 2025 by Editorial Team Author(s): MKWriteshere Originally published on Towards AI. Why state-of-the-art search models fail on complex queries — and what to build instead Your AI Search works until it doesn’t. Image Generated by Author Using Gpt-5This article discusses the limitations of current AI search models, specifically highlighting how vector embeddings struggle with complex queries due to fundamental mathematical constraints. It explains that despite ad...| Towards AI
Last Updated on September 4, 2025 by Editorial Team Author(s): Tobi Beck Originally published on Towards AI. Single AI agents are hitting enterprise limits, but multi-agent workflows unlock 3–5x better performance through specialized collaboration — if you solve the data foundation challenge first. Source: Image by the author While most enterprises are still figuring out single-agent implementations and “basic” AI workflows, early adopters are already discovering fundamental limitatio...| Towards AI
Last Updated on September 4, 2025 by Editorial Team Author(s): M Quamer Nasim Originally published on Towards AI. Multi-Agent System Architecture Every buyer needs prompt, precise, and personalized assistance in real-time. Once upon a time, the customer experience was handled manually, by sales folks across the counter or over the phone. But this was not a scalable system. So in came traditional chatbots, which brought in consistency across interactions but now struggle with conversational me...| Towards AI
Last Updated on September 4, 2025 by Editorial Team Author(s): Shreyash Pawar Originally published on Towards AI. Introduction Think videos where world leaders say wild things they never actually did, or photos so altered you question reality itself. As these fakes get scarily realistic, spotting them becomes crucial to fight misinformation and protect trust in what we see online. Deepfakes are essentially AI-generated images/videos where faces are altered to look authentic, often powered by ...| Towards AI
Author(s): Sanjay Krishna Anbalagan Originally published on Towards AI. The Question (hook) Where should LLMs plug into an enterprise app — without a rewrit ...| towardsai.net
In this blog post, we discuss Abacus.AI’s NeurIPS 2022 paper on recommender systems.Paper: https://arxiv.org/abs/2206.11886Code: https://github.com/naszilla/reczilla1 min video: https://www.youtube.com/watch?v=Eu8G3oNzcvU5 min video: https://www.youtube.com/watch?v=NkNdxF5chZY The concept of meta-learning is both simple and powerful: information about the past performance... The post On the Generalizability and Predictability of Recommender Systems appeared first on The Abacus.AI Blog.| The Abacus.AI Blog
The post How Machine Monitoring Solutions Revolutionize Your Industry? appeared first on IoT | AI | Embedded Product Development Company.| IoT | AI | Embedded Product Development Company
Imagine this scenario. A user goes to a bookstore's website and looks up the phrase Best New Fiction. Without further context, the site might return something like James McBride's The Heaven & Earth Grocery Store, which came out in 2023. That's new by some standards, but not likely what this particular user is looking for. ...| Nordic APIs
Discover how to connect DeepSeek and n8n to create intelligent automations with advanced AI—quickly and without spending much.| Ikkaro
Artificial Intelligence (AI) isn’t just driving demand in networking, it is reshaping how connectivity is managed, maintained, operated and optimised... Source| CIO Africa
Explore beginner-friendly insights into machine learning. Learn key concepts, challenges, and tips to confidently navigate the ML landscape.| rootsaid.com
From manufacturing and agriculture to healthcare and education, artificial intelligence is changing how industries operate. It forecasts earthquakes, detects diseases, prevents cyberattacks, and enables real-time translation across hundreds of languages. But finance stands out as an industry especially ready for transformation. Finance is all about numbers and patterns—things that AI... Read more » The post How AI Is Changing Finance—and How to Build an App That Keeps Up appeared first...| Big Data Analytics News
Imagine sitting in a cold hospital room. You’ve just had your X-ray done. The technician nods, tells you the radiologist will take a look, and you’re left waiting, hoping someone with years of training will catch what’s important. Now imagine a machine silently reviewing your scan in parallel. No sighs.... Read more » The post How Computer Vision Detects What Radiologists Might Miss (And Yes, AI is Judging Your Bones) appeared first on Big Data Analytics News.| Big Data Analytics News
In the modern enterprise landscape, data is not just an asset—it’s the foundation for growth, efficiency, and competitive advantage. Organizations today generate massive volumes of structured and unstructured information, but without the right tools and expertise, that data often remains underutilized. This is where specialized firms offering big data development... Read more » The post 10 Best Big Data Development Firms for Enterprises appeared first on Big Data Analytics News.| Big Data Analytics News
Databricks & Generative AI: Learn how to transform data into intelligent solutions with large language models, RAG, and scalable AI workflows.| HatchWorks AI
L’offerta formativa in IA cresce in Italia tra lauree triennali, magistrali e master, in risposta a una forte domanda di competenze specialistiche L'articolo Dove studiare IA in Italia: atenei, master e percorsi attivi proviene da Agenda Digitale.| Agenda Digitale
Oddesty| The Dan MacKinlay stable of variably-well-consider’d enterprises
Adversaries can intentionally mislead or "poison" AI systems, causing them to malfunction, and developers have yet to find an infallible defense against| Help Net Security
AI security researchers have designed a technique that can speedily jailbreak large language models (LLMs) in an automated fashion.| Help Net Security
Gaudio Lab, a leading innovator in AI-driven audio technology, will introduce its latest solution, Gaudio Studio Pro, at the International Broadcasting Convention (IBC) in Amsterdam this September. The platform is designed as an AI-powered, one-stop solution to streamline the complex process of content localization for global distribution. Streamlining Global Content Delivery:... The post Gaudio Lab Launches AI Audio Solution for Faster Content Localization first appeared on AI-Tech Park.| AI-Tech Park
TD Auto Finance‘s originations and portfolio grew in the bank’s third quarter, while the company also invested in additional anti-money laundering technology. TD Bank’s U.S. indirect auto outstandings came in at $31.1 billion, up 1.6% year over year and quarter over quarter, according to the bank’s earnings presentation for the quarter ended July 31. The […] The post TD Auto Finance’s portfolio rises 1.6% YoY in FY Q3 appeared first on Auto Finance News.| Auto Finance News
Picture this scenario: your leadership team is in a critical meeting, reviewing dashboards that drive high-stakes decisions. Suddenly, the numbers don’t add up. A key KPI is off by 20%, and nobody knows why.| POWR Blog
We discuss the meaning of weighted-orthogonality of function bases in feature engineering, and the relationship between the weight function and the feature distribution.| Alex Shtoff
I gave a talk at the Future Network Development Conference (FNDC) in Nanjing on August 20th, 2025. The title of the talk was Connecting AI: Inter-Networking Challenges for Distributed Machine Learn…| Dirk Kutscher
In the previous blogpost, we established that machine learning algorithms are often hard to tune, and hopefully explained the mechanism for why gradient descent has difficulty with linear losses. In this blogpost, we will lay out some possible solutions.| Engraved
In machine learning, linear combinations of losses are all over the place. In fact, they are commonly used as the standard approach, despite that they are a perilous area full of dicey pitfalls.| Engraved
Vector databases are a critical enabler for expanding the use of LLMs. They power applications such as Retrieval Augmented Generation (RAG), pattern matching, anomaly detection, and recommendation systems by retrieving relevant data for your application. A vector database needs to carry out efficient similarity searches across vector embeddings of both unstructured and structured data. You […] The post What is Metadata Filtering? Benefits, Best Practices & Tools appeared first on Git for ...| Git for Data – lakeFS
Data compliance is all about adhering to laws, regulations, standards, and internal policies regarding data use. Organizations must comply with regulations like the General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA), the California Consumer Privacy Act (CCPA) and SOC2 standards to protect sensitive information and maintain trust. Data compliance plays […] The post How lakeFS Helps Ensure Data Compliance appeared first on Git for Data -...| Git for Data – lakeFS
Learn what data compliance is, its benefits, essential tools, and key metrics to protect sensitive information and meet regulations.| Git for Data - lakeFS
Inventory distortion; stockouts and overstocks costs retailers $1.1 trillion globally every year in lost sales and markdowns. – RetailWire. Traditional demand forecasting, which depends on historical sales and rigid assumptions, struggles to keep pace with today’s volatile markets and rapidly changing customer behavior. Machine learning (ML) is closing this gap. By analyzing vast volumes of … Continue reading Machine Learning in Demand Forecasting: A Game Changer for Modern Businesses T...| Credencys Solutions Inc.
Recent analyses indicate that approximately 90% of the world’s data has been generated within the past two years, and according to IDC, the volume of data stored globally is doubling approximately every four years. That’s the projection from IDC’s Global DataSphere Forecast, and it underscores the urgent need for businesses to make sense of rapidly … Continue reading Top Databricks Use Cases That Are Changing the Game in Business Analytics The post Top Databricks Use Cases That Are Ch...| Credencys Solutions Inc.
What if a simple blood test could reveal who is more likely to face cancer or early death years before symptoms appear?| UNC NRI
Join us on Thursday, September 25 at 6 PM for a free in-person Appetite for Life featuring a live cooking demonstration with Robert Weimer, our Metabolic Kitchen Manager at the UNC Nutrition Research Institute.| UNC NRI
AI Slop—a new term in the digital lexicon to describe a more recent influx of AI-generated content of poor quality—is on the rise, thanks to AI-powered tools that can churn out text, visuals, and audio with little to no effort. Many feel this mindlessly-generated content pollutes the internet with bad writing and misinformation—raising red flags about the legal and ethical repercussions of the unfiltered use of AI in the content creation space.| GLOBIS Insights
Review the top cybersecurity startups driving innovation in cloud security, threat detection, and DevSecOps with high growth potential. The post Meet the Cybersecurity Startups Beating Hackers at Their Own Game appeared first on eSecurity Planet.| eSecurity Planet
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode of So What? The Trust Insights weekly livestream, you’ll learn about prompt engineering basics and how to improve your AI interactions. [...]Read More... from So What? Revisiting Prompt Engineering Basics| Trust Insights Marketing Analytics Consulting
This data was originally featured in the July 9th, 2025 newsletter found here: INBOX INSIGHTS, July 9, 2025: Is AI Use Cheating, Context Engineering In this week’s Data Diaries, let’s break down a new AI term that you’ve probably seen the nerds talking about if you hang out in the various AI-forward chats: context engineering. [...]Read More... from Context Engineering| Trust Insights Marketing Analytics Consulting
This data was originally featured in the June 25th, 2025 newsletter featured here: INBOX INSIGHTS, June 25, 2025: When AI-First Goes Wrong Part 5, Why AI Can’t Do Math In this week’s Data Diaries, let’s explain some math – in particular, why generative AI tools like ChatGPT struggle with math. At its heart, math – [...]Read More... from Why AI Can’t Do Math| Trust Insights Marketing Analytics Consulting
This post was originally featured in the May 14th, 2025 newsletter found here: INBOX INSIGHTS, May 14, 2025: Strengthening Your Foundation, Ethics in AI Strengthening Your Foundation I was taking a strength class over the weekend where the instructor kept emphasizing one key point: your foundation is always supporting you. For example, even when you [...]Read More... from Strengthening Your Foundation| Trust Insights Marketing Analytics Consulting
This data was originally featured in the April 26th, 2025 newsletter found here: INBOX INSIGHTS, April 23, 2025: AI Integration Strategy Part 3, AI Data Privacy In this week’s Data Diaries, let’s talk about AI data privacy. I recently had the opportunity to speak at the Trace One User Conference in Miami, and one of [...]Read More... from AI Data Privacy| Trust Insights Marketing Analytics Consulting
Sometimes, when I write a post about AI, I’ve been sitting on an idea for a long time. I’ve talked to experts, I’ve tried to understand the math, I’ve honed my points and cleared away clutter. This is not one of those times. The ideas in this post almost certainly have something deeply wrong with […]| 4 gravitons
OpenAI’s GPT-5 is now available to all users, including free ones. It’s faster, more accurate, and handles sensitive prompts more safely.| TechWire Asia
If you’ve spent any time on LinkedIn lately, you’ve probably seen a dozen hot takes about robots running your next campaign. Maybe you’ve even caught yourself side-eyeing ChatGPT or Jasper, wondering, “Am I about to be replaced by an algorithm?” Don’t worry, you’re not alone. Marketers everywhere keep asking the same thing: Is AI about […] The post Is AI the End of Human Marketing? Not Even Close! appeared first on Digital Marketing Agency.| Digital Marketing Agency
Unlock ChatGPT’s top 10 hidden features to boost productivity, creativity, and workflows. Become an AI pro with these expert tips!| Digital Marketing Agency
Stephanie Lampkin, founder of Blendoor, sits down with Samir Nurmohamed, Assistant Professor of Management at The Wharton School, to discuss how she leverages augmented intelligence, machine learning, and rich demographic data to mitigate human and algorithmic bias. The post Diversity Hiring: Stephanie Lampkin with Samir Nurmohamed | 2019 Wharton People Analytics Conference appeared first on People Analytics.| People Analytics
Academy Software Foundation Launches New Open Source Machine Learning Projects: Rongotai Model Train Club (RMTC) and Dailies Notes Assistant, emerging from the Foundation's new Machine Learning Working Group. The post Academy Software Foundation Launches New Open Source Machine Learning Projects appeared first on ASWF.| ASWF
This Buwan ng Wika (National Language Month), I'm proud to introduce FilBench, a big step forward in Filipino NLP evaluation. Read to learn more!| Lj Miranda
Setting the scene The 2025 International Mathematics Olympiad has come and gone. Reminder: this is an exam for high-school kids across the world (each country typically sends six kids), comprising of two 4.5-hour exams each containing three questions, so six … Continue reading →| Xena
A month or two ago I wrote this post which expressed my frustration with various issues around private datasets as a way of measuring the mathematical abilities of language models. More generally I was frustrated about the difficulty of being … Continue reading →| Xena
My feed was recently clogged up with news articles reporting that Sam Altman thinks that AGI is here, or will be here next year, or whatever. I will refrain from giving even more air to this nonsense by linking to … Continue reading →| Xena
L'Open Banking sta ridefinendo il settore finanziario: ecco come l'integrazione di dati e servizi ottimizza le strategie di business.| Agenda Digitale
The Internet of Things (IoT) continues to revolutionize industries by connecting devices, systems, and people in real time. However, the real business value emerges not just from collecting data, but from analyzing it to gain actionable insights. This is where IoT analytics companies come into play — combining big data,... Read more » The post Top IoT Analytics Firms Combining Big Data, AI & Edge Computing appeared first on Big Data Analytics News.| Big Data Analytics News
Artificial Intelligence (AI) is one of the most transformative technologies of the 21st century. Within the broad field of AI, one particularly impactful concept is that of the AI agent. As businesses, governments, and individuals increasingly adopt AI-powered systems, understanding what AI agents are, how they function, and what their... Read more » The post Understanding AI Agents: The Future of Intelligent Automation appeared first on Big Data Analytics News.| Big Data Analytics News
The AlphaFold Protein Structure Database (AFDB) has redesigned its entry pages to make exploring predicted protein structures faster, clearer, and more intuitive. This update delivers a streamlined experience across devices, whether you’re browsing from the lab, your desktop, or on the move.…| EMBL
Figure 1 I want a theory that predicts which features deep nets learn, when they learn them, and why. But neural nets are messy and hard to analyse, so we need to find some way of simplifying them for analysis which still recovers the properties we care about. Deep linear networks (DLNs) are one attempt at that: the models that keep depth, nonconvexity, and hierarchical representation formation while remaining analytically tractable. In principle, they let me connect data geometry (singular ...| The Dan MacKinlay stable of variably-well-consider’d enterprises
Can Artificial Intelligence (AI) be an author? A common reason cited against AI authorship is that AI is not a person. This article argues that the lack of personhood, in itself, does not disqualify AI as an author. Why not? Because we already detach personhood from authorship for many reasons, such as with pseudonyms, heteronyms, … Continue reading AI can be an author without being a person→| Advait Sarkar
Describing our interaction with Artificial Intelligence (AI) systems as ‘collaboration’ is well-intentioned, but flawed. Not only is it misleading, but it also takes away the credit of AI ‘labour’ from the humans behind it, and erases and obscures an often exploitative arrangement between AI producers and consumers. In this article, I explore how the AI … Continue reading Enough with ‘human-AI collaboration’→| Advait Sarkar
Can you imagine using a computer without a mouse, keyboard, or touchscreen? Why would we even need to do that? In this article, we will learn how virtual on-screen ‘lenses’ can be controlled using eye-tracking technology, to magnify and show additional details on charts. Using your eyes to control a computer has some unexpected challenges, … Continue reading Look, no hands! Exploring data with your eyes→| Advait Sarkar
The idea of writing a computer program by writing English (or another natural human language) is attractive because it might make coding easier and faster. This article tells the story of my encounter with natural language programming as a graduate student, and the small working system I built. I discuss the idea of context limiting: … Continue reading Coding in natural language: let’s start small→| Advait Sarkar
The AI wave is here, and it’s only getting bigger. According to a recent report from McKinsey, “over the next three years, 92 percent of companies plan to increase their AI investments.” As this AI wave washes over almost every industry and is integrated deeply and extensively into critical and non-critical operations, it ushers in a pivotal new cybersecurity battleground: securing AI.| Open Source Security Foundation
Most organizations reported that they have cybersecurity workforce shortages to prevent and troubleshoot security issues.| Help Net Security
The use of artificial intelligence in lighting is changing the industry rapidly. Darren Smith, specification leader at Signify UKI, explores how the technology is enhancing consumer experiences and professional workflows The post Making the future of the lighting industry brighter appeared first on CIBSE Journal.| CIBSE Journal
Managing multiple programming languages in a data science workflow often means jumping from one environment to another—adding friction to already complex processes. This slows down collaboration and innovation among teams. But what if there were a way to remove this friction between environments? Working in a single environment that supports multiple coding languages helps give teams time back for development, rather than managing tools. For example, being able to run Python, R, and SAS tog...| SAS Users
Yesterday, OpenAI launched gpt-oss-120b and gpt-oss-20b, marking the company’s first open-weight models since GPT-2 in 2019. This strategic shift represents far more than a product release—it signals a fundamental transformation in how large organizations, particularly in regulated industries, approach AI infrastructure and data management. OpenAI’s Strategic Return to Open Source The gpt-oss models—gpt-oss-120b and gpt-oss-20b—are […] The post OpenAI’s Open Source Revolution: W...| Git for Data – lakeFS
A behind-the-scenes look at the design decisions, architecture, and lessons learned while bringing the Apache Iceberg REST Catalog to lakeFS. When we first announced our native lakeFS Iceberg REST Catalog, we focused on what it means for data teams: seamless, Git-like version control for structured and unstructured data, at any scale. But how did we […] The post How We Built Our lakeFS Iceberg Catalog appeared first on Git for Data - lakeFS.| Git for Data – lakeFS
Open ad-hoc categorization approach combines language guidance with visual clustering to learn contextualized features for flexible image interpretation.| Michigan Engineering News
TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, saving time and resources.| Michigan Engineering News
Exploring how analogies and metaphors enhance the learning process of Large Language Models.| Seuros Blog - Navigation Logs from the Ruby Nebula
Proper nutrition is the foundation for academic success. Key nutrients like omega-3 fatty acids, antioxidants, and complex carbohydrates are essential for brain function, memory, and cognitive performance.| UNC NRI
Join us on Wednesday, August 20 at noon for a free virtual Appetite for Life event with UNC Assistant Professor of Nutrition Blake Rushing, PhD.| UNC NRI
As we celebrate Breastfeeding Awareness Month this August, the UNC Nutrition Research Institute (NRI) is proud to spotlight the work of principal investigator Carol L. Cheatham, PhD.| UNC NRI
The go-to textbook for future doctors, dietitians, and researchers—now features a new choline chapter by UNC NRI’s Isis Trujillo-Gonzalez, PhD, and Steven Zeisel, MD, PhD, spotlighting this vital yet under-consumed nutrient.| UNC NRI
Have you heard of “vibe physics”? The phrase “vibe coding” came first. People have been using large language models like ChatGPT to write computer code (and not the way I did last year). They chat with the model, describing what they want to do and asking the model to code it up. You can guess […]| 4 gravitons
Remember when AI sounded like something ripped straight out of a sci-fi movie like 2001: A Space Odyssey? Fast forward to today—artificial intelligence surrounds us, from your inbox to your newsfeed and even in your favorite playlist. Since OpenAI burst onto the scene in 2020, AI adoption has skyrocketed, turning what once felt futuristic into […] The post Getting Started with AI: Mastering the Essentials appeared first on Premiere Creative.| Premiere Creative
Heating isn’t just about comfort in very cold regions in the world, it is absolutely critical. If your home’s heat fails when you’re away, you might get back to find burst pipes. That’s especially problematic for large apartment buildings that rely on central boilers and radiators in the units. Manivannan’s Arduino-based edge solution leverages AI […] The post Is your heating radiator working? This system uses edge AI to find out appeared first on Arduino Blog.| Arduino Blog
Cos'è l'Intelligenza Artificiale? Che rapporto ha con le Scienze e la Matematica? E in futuro? Prova a rispondere Alfio Quarteroni nel libro L'articolo Letture Matematiche: L’intelligenza creata. L’AI e il nostro futuro, Alfio Quarteroni proviene da Maddmaths!.| Maddmaths!
KI kann sowohl Fehler erzeugen als auch helfen, sie zu vermeiden. Durch den Einsatz von KI-gestützten Werkzeugen können Prozesse optimiert, Programmierfehler gefunden und komplexe Daten analysiert werden. Unternehmen, die KI nicht in ihre Prozesse integrieren, riskieren im Wettbewerb einen Nachteil gegenüber innovativ agierenden Firmen.| Dr. DSGVO
Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic pulmonary fibrosis.| Pulmonary Fibrosis News
Written by: By: Mihajlo Grbovic, Ying Xiao, Pratiksha Kadam, Aaron Yin, Pei Xiong, Dillon Davis, Aditya Mukherji, Kedar Bellare, Haowei Zhang, Shukun Yang, Chen Qian, Sebastien Dubois, Nate Ney, James Furnary, Mark Giangreco, Nate Rosenthal, Cole Baker, Bill Ulammandakh, Sid Reddy, Egor Pakhomov| airbnb.tech
Avec GPT-3.5, un modèle de langage amélioré par rapport à GPT-3, OpenAI développe de nouveaux outils et espère proposer GPT-4 en 2023.| Siècle Digital
In the last few years, we have seen a surge of empirical and theoretical works about “scaling laws”, whose goals are to characterize the performance of learning methods based on various problem parameters (e.g., number of observations and parameters, or amount of compute). From a theoretical point of view, this marks a renewed interest in asymptotic equivalents—something the machine learning community had mostly moved away from (and, let’s be honest, kind of looked down on) in favor o...| Machine Learning Research Blog
1 Origin story Figure 1 Quantization, in a general sense, is the process of mapping a continuous or large set of values to a smaller, discrete set. This concept has roots in signal processing and information theory —search for Vector Quantization (VQ) emerging in the late 1970s and early 1980s. Think things like the Linde-Buzo-Gray (LBG) algorithm (Linde, Buzo, and Gray 1980). VQ represents vectors from a continuous space using a finite set of prototype vectors from a “codebook,” often...| The Dan MacKinlay stable of variably-well-consider’d enterprises
Figure 1 Let’s reason backwards from the final destination of civilisation, if such a thing there be. What intelligences persist at the omega point? With what is superintelligence aligned in the big picture? Various authors have tried to put modern AI developments in continuity with historical trends from less materially-sophisticated societies, through more legible, compute-oriented societies, to some or set of attractors at the end of history. Computational superorganisms. Singularities....| The Dan MacKinlay stable of variably-well-consider’d enterprises
Today we’re diving into something really cool: fine-tuning YOLO models for soccer detection. We’re going to detect balls, referees, players, and goalkeepers in soccer matches using Ultralytics’ fine-tuning tools. The popular YOLO models you’ll find out there, like Ultralytics YOLOv11, and YOLOX in different sizes, are mostly pre-trained on something called the COCO dataset. What’s […]| Poeticoding
Researchers have developed a scalable AI-based approach that makes use of genetic studies that include people of different ethnic backgrounds and could one day help address health disparities| The Hub
IOP Publishing (IOPP) and the World Young Scientists Summit (WYSS) are pleased to announce the launch of Machine Learning for Science 2025. A free-to-attend, two-day hybrid conference which will serve as a global platform to bring together renowned scientists, young researchers, and industry leaders. Chaired by Professor Jay Lee, (University of Maryland, USA) and Professor […] The post WYSS: Machine Learning for Science 2025 appeared first on IOP Publishing.| IOP Publishing
Kaffes was selected as part of the inaugural cohort in recognition of the impact and potential of his work on tail-latency scheduling.| Department of Computer Science, Columbia University
Data integration is a vital first step in developing any AI application. This is where data virtualization comes in to help organizations accelerate application development and deployment. By virtualizing data, teams can unlock its full potential by providing real-time AI insights for applications like predictive maintenance, fraud detection, and demand forecasting. Virtualizing data centralizes and […] The post What is Data Virtualization? Benefits, Use Cases & Tools appeared first on Git ...| Git for Data – lakeFS
Despite the increasing adoption of Artificial Intelligence (AI) applications, most organizations are bound to see implementation challenges. One of the issues lies in the data itself. A recent survey showed 80% of companies believe their data is suitable for AI, but more than half are actually dealing with challenges like internal data quality and categorization […] The post AI-Ready Data: Characteristics, Challenges & Best Practices appeared first on Git for Data - lakeFS.| Git for Data – lakeFS
Read the full original study as posted on the NIH website here. How the iSIPsmarter Program Works In parts of rural Appalachia, especially in southwest Virginia, adults are drinking much more sugar-sweetened beverages (SSBs) than the rest of the country. These drinks include soda, sweet tea, energy drinks, and fruit drinks. On average, adults […]| UNC NRI
Celebrating the launch of dltHub: AI-powered data pipelines for the software 3.0 era… The post Celebrating the launch of dltHub: AI-powered data pipelines for the software 3.0 era appeared first on Foundation Capital.| Foundation Capital
