Supervised vs. unsupervised learning 101: Key differences and applications
We will explore the concepts of supervised and unsupervised learning and highlight their key differences.| AI Accelerator Institute
In this episode, IBM’s Kal Gyimesi and Vishal Rane explore how AI is redefining efficiency in asset lifecycle management. They share why […]| IFMA Knowledge Library
In this week’s Data Diaries, let’s talk about AI for frameworks. One of the most important tools you can have on hand at any given time is a set of frameworks that you’ve built or gathered and that you can deploy at a moment’s notice. Frameworks are like templates; when you’re staring at a blank [...]Read More... from AI for Frameworks| Trust Insights Marketing Analytics Consulting
Hands-on PyTorch: Building a 3-layer neural network for multiple regression The post PyTorch Tutorial for Beginners: Build a Multiple Regression Model from Scratch appeared first on Towards Data Science.| Towards Data Science
We will explore the concepts of supervised and unsupervised learning and highlight their key differences.| AI Accelerator Institute
There are a variety of real-world applications of machine learning, including predictive analytics, computer vision, and more.| AI Accelerator Institute
Machine learning applications are moving towards local / Edge inference needs. Ajay Nair, Product Management Lead, Google, dives into the new requirements and how the industry is evolving to address the needs from key vertical markets. If you found this useful, catch-up on more presentations from other industry thought-leaders from the| AI Accelerator Institute
Supervised learning can be used to build extremely accurate machine learning models but just how does it work?| AI Accelerator Institute
AI, science, education, & ethics| rachel.fast.ai
If you ask any data leader what keeps them up at night, you’ll hear the same themes:“Our data pipeline is too complex… We’re constantly firefighting data quality issues… Governance consumes more time than it should… The business wants answers faster than we can deliver.” This pressure isn’t surprising. Enterprises today generate more data in one […] The post Augmented Data Management: How AI/ML Is Automating Data Quality & Governance at Scale appeared first on AnalyticsWeek ...| AnalyticsWeek | All Things Analytics Leadership News, Blogs, and Magazine
Which is actually how some people do it The post How to Build an Over-Engineered Retrieval System appeared first on Towards Data Science.| Towards Data Science
Introduction Automatic plant leaf detection is a remarkable innovation in computer vision and machine learning, enabling the identification of plant species by examining a photograph of the leaves. Deep learning is applied to extract meaningful features from an image of leaves and convert them into small, numerical representations known as embeddings. These embeddings capture the […] The post How Deep Feature Embeddings and Euclidean Similarity Power Automatic Plant Leaf Recognition appeare...| Towards Data Science
I was talking to a friend the other day about our shared mutual appreciation of virtio-vsock, and it made me wonder something. How do virtual machines on Linux actually work? I know it involves qemu and the kernel’s KVM virtual machine implementation, but exactly how do they interact? How does the kernel get qemu to do emulation tasks as required?| Made by Mikal
Deep learning is often seen as a black box. We know that it learns from data, but we rarely stop to ask how it truly learns. What if we could open that box and watch each step happen right before our eyes? With Excel, we can do exactly that, see how numbers turn into patterns, and how simple calculations become the foundation of what we call “deep learning.” In this article, we will build a tiny Convolutional Neural Network (CNN) directly in Excel to understand, step by step, how machines...| Towards Data Science
Why you should not explain your time-series data with tabular Shapley methods| Towards Data Science
Image by Pixabay.com The post I Measured Neural Network Training Every 5 Steps for 10,000 Iterations appeared first on Towards Data Science.| Towards Data Science
Janna Lipenkova on AI strategy, AI products, and how domain knowledge can change the entire shape of an AI solution. The post “The success of an AI product depends on how intuitively users can interact with its capabilities” appeared first on Towards Data Science.| Towards Data Science
A comprehensive guide into Meta, Apple, Reddit, Amazon, Google, and Snap ML design interviews The post How to Crack Machine Learning System-Design Interviews appeared first on Towards Data Science.| Towards Data Science
This is how to build an AI-powered Song Explainer using Python and OpenAI The post Music, Lyrics, and Agentic AI: Building a Smart Song Explainer using Python and OpenAI appeared first on Towards Data Science.| Towards Data Science
What I’ve learned leading AI teams across industries The post Critical Mistakes Companies Make When Integrating AI/ML into Their Processes appeared first on Towards Data Science.| Towards Data Science
An isolated, idyllic, and inspiring setting in the gorgeous Centennial Valley of Montana, where nothing pulls your attention from the task ahead, a motivated group of PhD students and postdocs in glaciology, and five energetic lecturers: the perfect combination for tackling the ambitious challenge of exploring the interface between glaciology and machine learning. Who wouldn’t learn well here, especially with wild geese, antelopes, and hummingbirds as your neighbours? From the 14th until th...| Cryospheric Sciences
StandardScaler is used to standardize the input data in a way that ensures that the data points have a balanced scale.| GeekPython - Python Programming Tutorials
Our findings show a completely novel function of resveratrol that help us understand how it may target cancer cells by altering how they generate energy. By uncovering these shifts in fat metabolism we’re identifying new ways to think about nutrition’s role in cancer research.| UNC NRI
Culturally attuned nutrition research is essential to improving health for all communities. Food choices, eating patterns, and family routines are deeply shaped by culture, and effective nutrition science must recognize and respect that diversity. When researchers move beyond a one-size-fits-all approach and engage families as true partners, they can design interventions that reflect real experiences and lead to meaningful, lasting change. At the UNC Nutrition Research Institute, this commitm...| uncnri.org
As artificial intelligence (AI) becomes part of everyday business operations, companies rethink how they want these systems to behave. AI models generate| PYMNTS.com
Dell and Microsoft venture capital arms are investing in AI start-ups that have products to help companies manage data and harness machine learning to gain a competitive advantage.| CNBC
Bicycle safety is always a concern, but is a particularly big problem in cities where cycling is less common. Drivers in cars don’t expect to encounter cyclists and don’t know how to share the road properly. To protect themselves, cyclists need to be as predictable as possible and overt with their intentions. Signaling is critical, […] The post Improving bicycle safety with voice-activated turn signals appeared first on Arduino Blog.| Arduino Blog
Collaboration Combines Verinext’s Secure AI Expertise with DevRev’s AI Teammate to Unify Data, Automate Work, and Accelerate Business Growth Verinext, the company that delivers transformative business outcomes through technology and services for everything that comes next, announced a strategic partnership with DevRev, an AI-native enterprise software company focused on transforming how teams collaborate. The two […] The post Verinext Expands AI Services Portfolio with Computer by DevRe...| AiThority
Kleiner Perkins leads the Series A round alongside new investor NVentures and previous investors Coatue, Latitude Capital, Madrona, GTM Capital, Menlo Ventures, and U First Capital WisdomAI, the company behind the most accurate AI Data Analyst for trusted business insights in the enterprise, announced a $50 million Series A financing. Kleiner Perkins led the funding […] The post WisdomAI Raises $50 Million to Lead the Next Generation of AI Analytics and Business Intelligence appeared first ...| AiThority
The 622-mile inland corridor expands network across the western U.S., connecting the data, compute, and cloud environments driving AI at scale. Zayo, a leading global communications infrastructure provider, announced the completion of its Umatilla–Prineville–Reno (UPR) long-haul fiber route, a 622-mile corridor that establishes a new backbone for how the western U.S. connects and scales AI. As […] The post Zayo Builds the Backbone for Western U.S. AI Growth with Completion of the Umati...| AiThority
Finch AI, a leading developer of powerful AI-enabled solutions for government and commercial enterprises, announced that its products are accessible to customers via the NASA SEWP (Solutions for Enterprise-Wide Procurement) GWAC (Government-Wide Acquisition Contract) contracting vehicle via technology reseller, Carahsoft. “We are thrilled to be able to offer this additional purchasing vehicle to customers,” Finch […] The post Finch AI Solutions Available on the NASA SEWP Contract appear...| AiThority
DataJoint, a leading informatics platform revolutionizing data management and analysis in scientific research and the life sciences sector, announced the appointment of John Apathy as a Strategic Advisor, deepening the company’s expertise in data-driven transformation across key research and development domains. John Apathy brings more than 35 years of experience in consulting and technology leadership in the […] The post John Apathy Joins DataJoint as Strategic Advisor, Strengthening D...| AiThority
How do you teach an AI to drive a car, perform surgery, or navigate a chaotic warehouse? You could spend years collecting massive amounts of real-world data, a process that is slow, expensive, and often incomplete. Else, you could build a better, smarter, and safer world for it to learn in, i.e., a digital one. […] The post To Build Smarter AI, Create a Smarter Fake World appeared first on AiThority.| AiThority
New Chief AI Officer role positions top intellectual property services company for accelerated AI innovation while strengthening service delivery Black Hills AI (BHAI), the leading provider of attorney-built generative AI platform Otto IP™ and automated, outsourced Intellectual Property (IP) services, announced a strategic leadership transition designed to accelerate innovation in artificial intelligence while deepening integration across its […] The post Black Hills AI Elevates Tom Mar...| AiThority
Runloop.ai announced the general availability of Deploy to VPC. This deployment model allows enterprises to run Runloop’s high-performance AI infrastructure entirely within their own Amazon Web Services (AWS) environment. Designed for the emerging generation of AI agents and multi-turn developer workflows, Deploy to VPC delivers complete data sovereignty, sub-second startup performance, and native integration with […] The post Runloop.ai Brings AI Infrastructure to Enterprise Cloud; Googl...| AiThority
Master Kubernetes Operators for ML workloads. Complete guide to Custom Resource Definitions, controller implementation, and best practices with code examples.| Collabnix
Learn to build production-grade LLM evaluation pipelines on Kubernetes with practical YAML configs, code examples, and best practices for scalable AI/ML workflows.| Collabnix
Master autoscaling for AI/ML workloads on Kubernetes using HPA and KEDA. Complete guide with YAML configs, code examples, and production best practices.| Collabnix
Regardless of what AI regulation is coming, it is worthwhile for every business to understand how the risk is being evaluated.| Help Net Security
Intervistando professori esperti del mercato del lavoro e società di consulenza del mercato digitale, ecco quali sono i dieci lavori del futuro nel digitale in Italia ed Europa, le professioni più in ascesa fra opportunità e rischi L'articolo Le 10 professioni del futuro: l’AI nel 2025 apre strade, non le chiude proviene da Agenda Digitale.| Agenda Digitale
Launched into the thought leadership stratosphere in 2014 with The Second Machine Age (with Erik Brynjolfsson).| Thinkers50
See why HatchWorks AI partnered with Databricks to help businesses unify data, improve AI readiness, and scale smarter with a powerful data platform.| HatchWorks AI
Understand the Coefficient of Variation's in regression modeling. Learn when high variability is good, when to investigate further with examples.| Analytics Yogi
Build a production-ready local development environment for AI applications using Docker, Kubernetes, and GPU support. Includes code examples and best practices.| Collabnix
Learn to deploy vector embeddings using Sentence Transformers in Docker. Includes practical examples, YAML configs, and production-ready containerization.| Collabnix
Master Kubernetes StatefulSets for AI/ML storage with practical examples, YAML configs, and best practices for distributed training workloads.| Collabnix
How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a machine learning approach that treats a model as a collection of smaller nested optimization problems, instead of a single network trained by one outer loop. […] The post Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to E...| MarkTechPost
Tabular data is still where many important models run in production. Finance, healthcare, energy and industry teams work with tables of rows and columns, not images or long text. Prior Labs now extends this space with TabPFN-2.5, a new tabular foundation model that scales in context learning to 50,000 samples and 2,000 features while keeping […] The post Prior Labs Releases TabPFN-2.5: The Latest Version of TabPFN that Unlocks Scale and Speed for Tabular Foundation Models appeared first on ...| MarkTechPost
In this tutorial, we build an advanced Reflex web application entirely in Python that runs seamlessly inside Colab. We design the app to demonstrate how Reflex enables full-stack development with no JavaScript, just reactive Python code. We create a complete notes-management dashboard featuring two pages, real-time database interactions, filtering, sorting, analytics, and user personalization. We […] The post How to Build an Advanced Multi-Page Reflex Web Application with Real-Time Database...| MarkTechPost
In this tutorial, we build an advanced multi-agent pipeline that interprets integrated omics data, including transcriptomics, proteomics, and metabolomics, to uncover key biological insights. We begin by generating coherent synthetic datasets that mimic realistic biological trends and then move step by step through agents designed for statistical analysis, network inference, pathway enrichment, and drug repurposing. […] The post Build a Multi-Agent System for Integrated Transcriptomic, Prot...| MarkTechPost
How do we design AI systems that can plan, reason, and act over long sequences of decisions without constant human guidance? Moonshot AI has released Kimi K2 Thinking, an open source thinking agent model that exposes the full reasoning stream of the Kimi K2 Mixture of Experts architecture. It targets workloads that need deep reasoning, […] The post Moonshot AI Releases Kimi K2 Thinking: An Impressive Thinking Model that can Execute up to 200–300 Sequential Tool Calls without Human Interfe...| MarkTechPost
TL;DR Data engineering services have evolved into a critical pillar of enterprise strategy. They empower businesses to manage massive datasets, optimize decisions, and uncover hidden insights. In 2025, companies that leverage big data engineering services are achieving faster innovation, stronger operational efficiency, and a data-driven edge over their competitors. Introduction... Read more » The post How Data Engineering Services Are Reshaping Global Business Strategies appeared first on B...| Big Data Analytics News
Cloud technology keeps growing faster than anyone expected. Businesses rely on it for everything—from storing data to running daily operations. But as companies move more systems online, security concerns grow too. Hackers are more skilled, threats are more complex, and protecting sensitive data has become a major challenge. Organizations can’t... Read more » The post Top 7 Trends Shaping the Future of Cloud Security appeared first on Big Data Analytics News.| Big Data Analytics News
Using Machine Learning to Personalize and Optimize Product Experiences Users expect more than just functional products — they expect personalized, intuitive, and continuously improving experiences. Whether it’s a streaming platform suggesting the perfect show or an e-commerce app recommending what you’re likely to buy next, personalization has become a core driver of user engagement and business growth. At the heart of this shift lies Machine Learning (ML) — the technology ...| Kasadara Technology Solutions
Figure 1 I am working up some proposals in AI safety at the moment, including this one. This proposal is the “big picture” one, that should explain to a less-technical audience why I think AI persuasion is important to keep an eye on, and, in particular, the kinds of problems that, in my experience, people underestimate the importance of. In particular I argue that right now the kind of “weak” persuasion that we see AIs doing is already incredibly dangerous, because it opens us up to...| The Dan MacKinlay stable of variably-well-consider’d enterprises
Wherein RNN surrogates of human learners are fitted and mechanised SCM discovery, MEG quantification, and behavioural intention probes are applied to detect preference‑shaping by AIs within dialogue interactions.| The Dan MacKinlay stable of variably-well-consider’d enterprises
Edge AI has been gaining traction, and deploying deep learning models on microcontrollers (MCUs) has evolved from a niche experiment to a mainstream engineering practice. In 2025, embedded machine learning (ML) has grown from keyword spotting experiments to powering industrial anomaly detection, predictive maintenance, and vision-based automation, all on devices with just a few hundred […]| Shawn Hymel
Pydantic and Large Language Models: A High-Level Overview Large Language Models (LLMs) such as GPT-4o deliver powerful natural language understanding and generation capabilities. However, one of the key challenges with LLMs in practical applications is managing their outputs, which are often unstructured, inconsistent, and unpredictable. This makes it difficult to integrate them reliably into real-world systems that require precise, validated data. Pydantic, a Python library built around...| Kasadara Technology Solutions
Learn about the six areas where the Senzing real-time AI for entity resolution stands apart from its competitors.| Senzing Entity Resolution AI
Learn how to build scalable distributed training systems on Kubernetes with PyTorch and TensorFlow. Includes YAML configs, code examples, and best practices.| Collabnix
Explore how Pydantic enhances Large Language Models by ensuring data validation, structure, and reliability in AI applications.| Kasadara Technology Solutions
Learn to build, deploy, and scale AI agents using Kubernetes Jobs and CronJobs. Includes YAML configs, Python examples, and production best practices.| Collabnix
Creating and Using Google Gemini Gems By Jeannie Hill Google Gems are a feature that streamlines workloads once created. This guide is for Gemini users| Hill Web Creations: Digital Marketing, SEM, SEO
Author(s): Phrugsa Limbunlom (Gift) Originally published on Towards AI. Photo by Theo Crazzolara on Unsplash Enhancing visual-language reasoning through reinforcement learning optimization using a rented GPU from Vast.ai. Table of Content · Introduction· Reinforcement Learning in Language models· Group Relative Policy Optimization (GRPO)· The intuition behind the GRPO objective function· Practical Implementation· Rent a GPU on Vast.AI · Code Walkthrough· Practical Applications· Concl...| Towards AI
Author(s): Luca Derumier Originally published on Towards AI. Why 95% of AI Automation Projects Fail As CTO at Codika, I spend a lot of time talking to business leaders about automation. Lately, these conversations have followed a predictable pattern. They start with excitement — “2025 is the year of AI agents!” — and end with frustration: “We tried to automate X, but it went nowhere.” Photo by Google DeepMind on Pexels.The article discusses the alarming rate of failure in AI autom...| Towards AI
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie DeepSeek has been relatively quiet this year after a series of huge innovations in 2024 culminated in it breaking into mainstream awareness in early 2025. While DeepSeek’s next-generation LLM has yet to be released, the lab is clearly working on foundational research that may well shape it. This week, they released DeepSeek-OCR, a model that is both a powerful tool for document pr...| Towards AI
Last Updated on October 28, 2025 by Editorial Team Author(s): Shauvik Kumar Originally published on Towards AI. “If you spend too much time thinking about a thing, you’ll never get it done.” I wish I could tell you every day runs smoothly. That my daily workflows click, and the hours stretch out, generous and long. But the truth? Most days aren’t like that — and that’s why I’m obsessed with automation. 35 Perplexity Comet Prompts to Automate Your Daily WorkflowsThis article dive...| Towards AI
Last Updated on October 28, 2025 by Editorial Team Author(s): M Originally published on Towards AI. How a startup became a $10.2B company without being the smartest in the room. Crazy amounts of money are flowing into AI coding startups, yet we’re already drowning in AI coding tools. GitHub Copilot suggests code as you type. Cursor gives you an AI-powered IDE that feels like magic. Anthropic offers Claude Code for terminal-based development. OpenAI’s models keep getting better at writing ...| Towards AI
Last Updated on October 28, 2025 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Our AI team attended COLM 2025 this year. In this piece, François Huppé-Marcoux, one of our AI engineers, shares the “aha” moment that reshaped his view of reasoning in LLMs. We talk about “reasoning” as if it’s a universal boost: add more steps, get a better answer. But reasoning isn’t one thing. Sometimes it’s the quiet, automatic pattern-matching that ...| Towards AI
Last Updated on October 28, 2025 by Editorial Team Author(s): MKWriteshere Originally published on Towards AI. How tree search revolutionizes reinforcement learning for multi-turn language model agents Training AI agents to handle complex, multi-step tasks has always been expensive. Really expensive. Every time an agent interacts with its environment, you’re burning through tokens and API calls. Image Generated by Author using AIThe article discusses a revolutionary method called Tree-Group...| Towards AI
Last Updated on October 28, 2025 by Editorial Team Author(s): R Rajesh Swamy Originally published on Towards AI. Building the CNC With the AI brain ready to make machining decisions, it was time to give it a body — the CNC machine itself.This phase focused on creating a fully functional three-axis dental CNC prototype, capable of interpreting AI-generated toolpaths and executing them precisely. The goal was clear: Build a stable, compact, and intelligent CNC system that could cut, measure, ...| Towards AI
Last Updated on October 28, 2025 by Editorial Team Author(s): DiPAK KNVDL Originally published on Towards AI. How modern enterprises build scalable, production-ready ML systems across AWS & Azure In today’s data-driven world, enterprises generate massive amounts of data across distributed systems, mobile applications, IoT devices, and transactional platforms. Transforming this raw data into real business value requires a strategic pipeline for building, training, deploying, and monitoring M...| Towards AI
Author(s): Sayanteka Chakraborty Originally published on Towards AI. 1. IntroductionIn e-commerce, success hinges on one thing: showing the right product to ...| towardsai.net
Master MLOps on Kubernetes with practical CI/CD pipelines for ML models. Includes YAML configs, Python examples, and production-ready workflows.| Collabnix
Why machine learning is the next efficiency frontier for fiber providers: how it helps predict issues, automate operations and scale profitably.| CSG
The future of computing is VERY cool, -273° C to be precise...| Nick Yoder
| UNC NRI
I ran into this Bluesky post, and while a lot of the argument resonated with me, I think the author is missing something important. Shannon Vallor is a philosopher of technology at the University o…| 4 gravitons
Data-engineers besteden 37% van hun tijd aan AI-projecten. In 2027 loopt dit op tot 61%. Ontdek hoe hun rol verandert.| ICTMagazine.nl
Electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.| News-Medical
Die angeblich "souveräne" SAP Delos Cloud ist nicht wirklich unabhängig, da sie auf Microsoft Azure und OpenAI Technologie basiert, welche US-amerikanisches Recht unterliegen. US-amerikanische Gesetze wie der CLOUD Act zwingen diese Unternehmen zur Kooperation mit den amerikanischen Behörden bei der Überwachung von Daten aus aller Welt. Dadurch besteht ein hohes Risiko für die Sicherheit deutscher Daten in der SAP Delos Cloud.| Dr. DSGVO
KI-Chatbots wie ChatGPT bieten Chancen, bergen aber Risiken für Datensicherheit, Datenschutz und rechtliche Vorgaben. Unternehmen sollten lokale KI-Systeme bevorzugen, um Kontrolle über sensible Daten zu behalten und Datenschutzbestimmungen einzuhalten. Öffentliche Chatbots können sinnvoll in bestimmten Anwendungsbereichen eingesetzt werden, müssen aber stets kritisch hinterfragt und niemals als zuverlässige Quelle für präzise Ergebnisse angesehen werden.| Dr. DSGVO
Udacity has partnered with Amazon Web Services (AWS) to offer Nanodegree scholarships for Artificial Intelligence & Machine Learning. The post Udacity is Currently Accepting Scholarship Applications to Its AWS AI & Machine Learning Program appeared first on MyeLearningWorld.| MyeLearningWorld
Il digital degrowth propone di ridurre la dipendenza dal digitale e restituire senso critico e umano all’educazione e alla conoscenza.| Agenda Digitale
Scientists have long been gloomy about the prospects for coral-reef survival around the warming world, but according to the Wildlife Conservation Society (WCS) artificial intelligence is inclined to look on the brighter side than humans. A new study led by the New York-based WCS has concluded that AI models are providing “more accurate and more […]| Divernet
Discover how to run GNU Octave seamlessly in your browser using JupyterLite and xeus-octave. No installation, just instant computation! The post GNU Octave and JupyterLite: Computing Anywhere, Anytime with Xeus-Octave appeared first on Ikkaro.| Ikkaro
A conversation with trailblazing computer scientist Suchi Saria, who is on a mission to augment human care with the latest in AI and machine learning technology| The Hub
The post What Is a Data Lake: A Comprehensive Guide appeared first on Intellisoft.| Intellisoft
AI agents are increasingly autonomous in the way they interact with APIs and the systems those APIs represent. But unlike human developers, who can intuit solutions pretty readily, agents aren’t quite up to the task of reading docs, joining Slack channels, or pinging support when something breaks. They rely entirely on metadata, structure, and observed ...| Nordic APIs
Assumed audience: Other people interested in world-saving work Figure 1 An experience shook me last week and clarified some things. I had the incredible privilege of turning down a job offer I’d worked towards for a decade. Notionally, it was my dream job — working on an important problem with people I respect, using my skills and aligning with my research interests. Moreover, such jobs are unobtainium in Australia right now, since Australia is not very serious about science and technolo...| The Dan MacKinlay stable of variably-well-consider’d enterprises
Assumed audience: Mid career technical researchers considering moving into AI Safety research, career advisors in the EA/AI Safety space, AI Safety employers and grantmakers Nonetl;dr AI career advice orgs, prominently 80,000 Hours, encourage career moves into AI safety roles, including mid‑career pivots. I analyse the quality of this advice from the private satisfaction, public-good, and counterfactual equilibrium perspectives, and learn the following things: Rational Failure: If you value...| The Dan MacKinlay stable of variably-well-consider’d enterprises
Wherein a graphical formalism is presented that generalizes Bayesian networks and factor graphs, is capable of representing inconsistent beliefs, and is shown to induce variational bounds and simple proofs.| The Dan MacKinlay stable of variably-well-consider’d enterprises
A while back, Google DeepMind unveiled Gemini Diffusion, an experimental language model that generates text using diffusion. Unlike traditional GPT-style models that generate one word at a time, Gemini Diffusion creates whole blocks of text by refining random noise step-by-step. I read the paper Large Language Diffusion Models and was surprised to find that discrete language diffusion is just a generalization of masked language modeling (MLM), something we’ve been doing since 2018. The firs...| nathan.rs
Instead of forcing LLMs to pick a number on a 1–5 scale, ask them to speak like a person and map the text to a Likert distribution via Semantic Similarity Rating (SSR). In benchmarks across 57 personal-care concept surveys (9.3k human responses), SSR reproduced human purchase intent signals with ~90% of human test–retest reliability and […]| DEJAN
THIS POST IS CURRENTLY UNDER CONSTRUCTION| Matthew N. Bernstein
Follow us on Bluesky, Twitter (X), Mastodon and Facebook at @Hackread| Hackread - Latest Cybersecurity, Hacking News, Tech, AI & Crypto
Artificial Intelligence is here to stay, and users are increasingly using it to streamline routine tasks. The virtual assistant ChatGPT, a language model| Techoreon
Two recently awarded grants from the National Institute on Alcohol Abuse and Alcoholism (NIAAA) will fuel research aimed at better understanding, and ultimately preventing, the effects of prenatal alcohol exposure.| UNC NRI
Some of the boldest ideas in nutrition science are being tested not only by seasoned investigators, but by graduate students who bring fresh questions and innovative approaches to the field. The new Student Spotlight in UNC Nutrition Research Institute’s (NRI) Research Seminar Series shines a light on this next generation of researchers, giving them the opportunity to present their work to colleagues across the institute and share novel projects under way in the NRI labs.| uncnri.org
Breakthrough training system utilizing imitation learning opens 'new frontier' in medical robotics| The Hub
