# deep learning (blogs) — RSS Amplifier Recent posts from the 161 feeds in the RSS Amplifier directory that cover deep learning. Page: Feed: --- ## [Data Quality Is Still the Foundation of Information Science](https://taxodiary.com/2026/08/data-quality-is-still-the-foundation-of-information-science/) _2026-08-21 · Melody Smith · Taxodiary_ For information science professionals in higher education, data quality is hardly a new concern. Long before generative artificial intelligence (GenAI), machine learning and advanced analytics entered the conversation, the principle was simple: information systems can only be as trustworthy as the data they contain. This important topic came to us from IT Brief and their… ## [Why AI Still Needs Human Insight](https://taxodiary.com/2026/08/why-ai-still-needs-human-insight/) _2026-08-20 · Melody Smith · Taxodiary_ Artificial intelligence (AI) can process millions of data points in seconds, identify patterns humans might miss and automate tasks that once consumed hours. That makes AI an extraordinarily powerful tool for data analysis. But a tool is exactly what it is. Tech Target brought this topic to our attention in their article, “Will AI replace… ## [Refreshing my homelab](https://baptiste-wicht.com/posts/2026/08/refreshing-my-homelab.html) _2026-08-20 · Baptiste Wicht · Blog blog("Baptiste Wicht");_ Recently, I have bene doing some upgrades and refresh to my homelab rack. Some of these updates are just getting started, but several of these are completed already. Snce we moved to the new house, we have 10G internet. So, I upgraded the networking on the rack to be 10G network. This means, two 10G switches and two 10G NIC (Intel) on the firewall server. I also installed one 10G NIC on my desktop… ## [AI and Unstructured Data: Finding Meaning in the Mess](https://taxodiary.com/2026/08/ai-and-unstructured-data-finding-meaning-in-the-mess/) _2026-08-19 · Melody Smith · Taxodiary_ Organizations have never lacked data. The bigger problem has been figuring out what to do with all of it, especially the information that doesn’t fit neatly into rows and columns. This interesting and important topic came to us from CDO Magazine in their article, “Why AI Changes Unstructured Data: Data X-Ray’s Kyle DuPont on Metadata… ## [Community, Sovereignty, and African AI: Reflections on Deep Learning Indaba 2026](https://dsup.substack.com/p/community-sovereignty-and-african) _2026-08-19 · DS at UP · DS@UP 🚀_ Our PI, Prof. Vukosi Marivate, shares his reflections on DLI 2026 in Lagos, tracing the history of travelling knowledge-sharing across Africa and the path forward for grassroots AI research. ## [Better Data, Better Intelligence](https://taxodiary.com/2026/08/better-data-better-intelligence/) _2026-08-18 · Melody Smith · Taxodiary_ Artificial intelligence (AI) may get the headlines, but its effectiveness still depends on something far less glamorous: data. That is where FAIR data becomes increasingly important. This interesting topic came to us from Nature in their article, “Advancing FAIR data towards comparable, organized, predictive AI-ready data for community validation.” FAIR stands for Findable, Accessible,… ## [How Emerging Technology Is Reshaping Cloud Computing](https://taxodiary.com/2026/08/how-emerging-technology-is-reshaping-cloud-computing/) _2026-08-17 · Melody Smith · Taxodiary_ Cloud computing has been one of the defining technologies of the digital era, giving organizations access to computing power, storage and applications without requiring them to build and maintain everything themselves. Now artificial intelligence (AI) is changing that equation again. AI is not simply another workload moving to the cloud. It is influencing how cloud… ## [Your Research Agent Is an Undisclosed Factor Exposure — And So Is Everyone Else’s](https://jonathankinlay.com/2026/08/your-research-agent-is-an-undisclosed-factor-exposure-and-so-is-everyone-elses/) _2026-08-16 · Jonathan · QUANTITATIVE RESEARCH AND TRADING_ In May I published a case study on running alpha research through a team of LLM agents: four roles, instrumented handoffs, and roughly a 2× lift in hypotheses tested per week. The post was careful about what it measured. It was silent about a risk I had not thought to price. Here is the risk. Continue reading "Your Research Agent Is an Undisclosed Factor Exposure — And So Is Everyone Else s" The… ## [Building an AI Text Detector From Scratch](https://magazine.sebastianraschka.com/p/ai-detector-from-scratch) _2026-08-15 · Sebastian Raschka, PhD_ An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR ## [How Claude's Text Watermarking Works](https://sebastianraschka.com/blog/2026/claude-text-watermarking.html) _2026-08-15 · Sebastian Raschka, PhD_ Short illustration of how Claude's text watermarking is supposed to work based on Anthropic's released materials. ## [Daily plans, scheduled by AI (Sponsored)](https://crawlproof.com/a/IpwDWGHukFy4) _2026-08-15 · **Sponsored**_ AI-made daily plans that schedule tasks and protect focus time. ## [📺 DS4Society Talk Now Available on Youtube: Democratising Sovereign AI with Apertus (Oleg Lavrovsky)](https://dsup.substack.com/p/ds4society-talk-now-available-on) _2026-08-14 · DS at UP · DS@UP 🚀_ The recording of our recent seminar is officially live! ## [Garbage In, Garbage Out: Why Are We Still Having This Conversation?](https://taxodiary.com/2026/08/garbage-in-garbage-out-why-are-we-still-having-this-conversation/) _2026-08-14 · Melody Smith · Taxodiary_ Artificial intelligence (AI) may be advancing at breakneck speed, but one stubborn truth hasn’t changed: AI is only as good as the data behind it. RT Insights brought this topic to us in their article, “Why AI Systems Are Only as Good as the Data Being Fed into Them“. This is not new news. “Garbage… ## [DSFSI Researcher Dr Idris Abdulmumin Sweeps Honours at ACL 2026 🏆](https://dsup.substack.com/p/dsfsi-researcher-dr-idris-abdulmumin) _2026-08-13 · DS at UP · DS@UP 🚀_ Big news from San Diego: research from our lab picked up multiple international awards at the 2026 Annual Meeting of the Association for Computational Linguistics (ACL), one of the most competitive venues in NLP. ## [From Information to Action: Turning Data into Better Decisions](https://taxodiary.com/2026/08/from-information-to-action-turning-data-into-better-decisions/) _2026-08-13 · Melody Smith · Taxodiary_ Organizations today have access to more data than ever before. Customer behavior, operational performance, financial trends, market activity and employee insights can all be measured and analyzed. But having data and making good decisions with it are two very different things. This interesting topic came to us from IDB in their article, “How Can Governments… ## [Bill Watterson's approach to deadlines](http://senthil.learntosolveit.com/posts/2026/08/13/bill-wattersons-approach-to-deadlines.html) _2026-08-13 · Senthil Kumaran · Senthil Kumaran_ I noted down a discipline practice that one of my favorite creators used. I had also seen this practice with a successful student, Yesh Dattareya, at the OMSCS. His (Bill Watterson's) approach to deadlines was to stay well ahead of them. When you’re faced with a due date (as he told Lee Nordling in Your Career in Comics ) “there’s no quality control. It’s just garbage in, garbage out.” This was… ## [Your OpenAPI Spec Is Not an Agent Interface: Compiling Governed MCP Tool Surfaces](https://subhadipmitra.com/blog/2026/api-mcp-compiler/) _2026-08-12 · \["Subhadip Mitra"\] · Subhadip Mitra_ api-mcp-compiler turns OpenAPI, Swagger, and WSDL specifications into MCP tool surfaces with field-level provenance, human approval gates, and compiled-in refusals. Four pre-registered evaluations could not resolve whether semantic planning beats one tool per operation. Here is the design argument, the numbers, and what the evaluation harness caught anyway. ## [Build a Reasoning Model From Scratch Is Now on Amazon](https://sebastianraschka.com/blog/2026/build-a-reasoning-model-from-scratch-on-amazon.html) _2026-08-12 · Sebastian Raschka, PhD_ Short note on the Amazon availability of Build a Reasoning Model From Scratch and a warning about counterfeit black-and-white copies sold through Amazon India. ## [Peer Review in the Age of AI: Is It Time for an Upgrade?](https://taxodiary.com/2026/08/peer-review-in-the-age-of-ai-is-it-time-for-an-upgrade/) _2026-08-12 · Melody Smith · Taxodiary_ For generations, peer review has been a cornerstone of scholarly publishing. Before research enters the academic record, experts evaluate its methodology, evidence, originality and conclusions. The system is imperfect, but its purpose remains essential: protecting the credibility and integrity of scholarship. The Scholarly Kitchen brought this interesting topic to our attention in their… ## [Muse Glimmer 30B Architecture Notes](https://sebastianraschka.com/blog/2026/muse-glimmer-30b-architecture-notes.html) _2026-08-11 · Sebastian Raschka, PhD_ Short architecture note on Meta Muse Glimmer 30B, including gated local and global GQA, KV-cache efficiency, and release-time benchmark comparisons. ## [Data Layers and Semantic Layers: Where AI Finds Meaning](https://taxodiary.com/2026/08/data-layers-and-semantic-layers-where-ai-finds-meaning/) _2026-08-11 · Melody Smith · Taxodiary_ Artificial intelligence (AI) depends on data, but having access to enormous amounts of data does not automatically mean an AI system understands what that data means. That distinction helps explain the relationship between two important components of modern AI applications: the data layer and the semantic layer. DATAVERSITY brought this topic to our attention in… ## [Ship everywhere from one CLI (Sponsored)](https://crawlproof.com/a/HUXXAQdgsSJg) _2026-08-11 · **Sponsored**_ One codebase, hosted runners, encrypted credentials, and automated submissions across stores ## [Deep Learning Indaba 2026 Reflection: Days 5 & 6 (Workshop Days)](https://dsup.substack.com/p/deep-learning-indaba-2026-reflection-68a) _2026-08-11 · DS at UP · DS@UP 🚀_ Dr Idris Abdulmumin at the Deep Learning Indaba 2026 in Lagos, Nigeria. ## [The Norway Problem in Yaml](http://senthil.learntosolveit.com/posts/2026/08/10/the-norway-problem-in-yaml.html) _2026-08-10 · Senthil Kumaran · Senthil Kumaran_ Norway's ISO country code is NO. Under the YAML 1.1 spec, unquoted no (case-insensitive, along with yes, on, off, y, n, true, false) is treated as a boolean and not a string. You can see the problem here. ~ cat test . yaml countries : - NO - SE - NL - IN - US - SG ~ python \>\>\> import yaml \>\>\> with open ( "test.yaml" ) as f : ... data = yaml . safe\_load ( f ) ... \>\>\> print ( data ) { 'countries' :… ## [Deep Learning: How AI Is Expanding the Reach of Machine Intelligence](https://taxodiary.com/2026/08/deep-learning-how-ai-is-expanding-the-reach-of-machine-intelligence/) _2026-08-10 · Melody Smith · Taxodiary_ Artificial intelligence (AI) is often discussed as though it is a single technology. In reality, AI is an umbrella encompassing many approaches designed to enable computers to perform tasks that traditionally required human intelligence. Machine learning sits beneath that umbrella, and deep learning is a specialized and increasingly powerful branch of machine learning. Understanding the… ## [Visualising How Neural Networks Learn](https://daniel-bethell.co.uk/posts/visualising-embeddings/) _2026-08-10 · Home Page on Daniel Bethell_ Neural networks learn complex internal representations of their inputs, but these representations are usually difficult to inspect directly. In this post, I constrain an image classifier to a two-dimensional embedding space and interactively visualise how different training objectives organise that space over time. ## [Let’s Stop Calling Everything “Linear Attention”](https://htor.inf.ethz.ch/blog/index.php/2026/08/09/lets-stop-calling-everything-linear-attention/) _2026-08-09 · blog · Torsten Hoefler's blog_ Let s Stop Calling Everything “Linear Attention” If your “constant-time” attention still scans a million tokens, we need to talk. “Linear attention” is becoming the gluten-free of AI architecture terminology: everyone puts it on the label, nobody agrees what it means, read more ## [Self Hosting Coding LLMs](https://blog.samibadawi.com/2026/08/self-hosting-coding-llms.html) _2026-08-09 · Sami Badawi · Languages and Logic_ The world is in an arms race to create data centers in 2026, to run and train the most intelligent AI. We spent close to $1 trillion in Capex in 2026 for building data centers and GPUs. Recently free open weight LLMs / AI models have shrunk so you can host them on your laptops and phones. I decided to try these for coding tasks to see if they work. My local AI setup I did a little research and… ## [LLMs From Scratch Reaches 100,000 GitHub Stars](https://sebastianraschka.com/blog/2026/llms-from-scratch-reaches-100000-github-stars.html) _2026-08-07 · Sebastian Raschka, PhD_ Short note celebrating the LLMs-from-scratch repository passing 100,000 GitHub stars and summarizing its learning materials. ## [When Meaning Meets Machines: AI, Semantics and Knowledge Graphs](https://taxodiary.com/2026/08/when-meaning-meets-machines-ai-semantics-and-knowledge-graphs/) _2026-08-07 · Melody Smith · Taxodiary_ Semantics and knowledge graphs have been quietly doing important work for years. Semantics helps systems understand that words, concepts and context are related. Knowledge graphs turn those relationships into structured networks of people, places, products, ideas and facts. This interesting topic came to us from Bio-IT World in their article, “Trends from the Trenches: Why… ## [Deep Learning Indaba 2026 Reflection: Day 3](https://dsup.substack.com/p/deep-learning-indaba-2026-reflection) _2026-08-06 · DS at UP · DS@UP 🚀_ Moyahabo Rabothata, a PhD student supported by the AI4D African Languages Lab, is attending the Deep Learning Indaba 2026 in Lagos, Nigeria. ## [Webinar Invitation - 13 Aug 2026: Apertus & Democratizing Global Sovereign AI 🌐🤖](https://dsup.substack.com/p/webinar-invitation-13-aug-2026-apertus) _2026-08-04 · DS at UP · DS@UP 🚀_ Most modern Large Language Models (LLMs) are built behind closed corporate doors. ## [Stop CI/CD & Supply-Chain Attacks (Sponsored)](https://crawlproof.com/a/eKx1g6URdl9p) _2026-08-04 · **Sponsored**_ Per-PR: 17 CI/CD checks and package malware scans with inline Check Run findings. ## [Reflections from Day 1 & 2 of Deep Learning Indaba 2026](https://dsup.substack.com/p/reflections-from-day-1-and-2-of-deep) _2026-08-04 · DS at UP · DS@UP 🚀_ by Nontokozo Manukuza ## [Seminar/Webinar Recording Available: Socio-Technical Evaluations of Future Impacts of AI Systems](https://dsup.substack.com/p/seminarwebinar-recording-available) _2026-08-03 · DS at UP · DS@UP 🚀_ The recording of our last seminar is now available. ## [Research topics in ML, AI and Deep Learning](https://blog.sparsh.dev/research-topics-in-ml-ai-and-deep-learning/) _2026-08-01 · Sparsh · Verbose Tethics_ Geometric Deep Learning Euclidean Geometry Group Invariance Theorem Universal Approximation Player Perceptron, Rosenblatt perceptron Curse of Dimensionality \> neocognitron LeNet-5 Software 1.0 and 2.0 Graph Neural Network, Chemical Precursors, Weisfeiler-Lehman (WL) test DeepSets CNN \> Symmetry translation, GNN \> Symmetry Permutation CNNs are translation-equivariant; GNN layers are… ## [Who Writes the Question](https://korbonits.com/blog/2026-08-01-who-writes-the-question/) _2026-08-01 · Alex Korbonits_ ## [🚀 DSFSI at Deep Learning Indaba 2026: Keynotes, Accepted Papers, Workshops, Tutorials, and Research Showcase](https://dsup.substack.com/p/dsfsi-at-deep-learning-indaba-2026) _2026-07-31 · DS at UP · DS@UP 🚀_ Lagos, Nigeria 🇳🇬 | 2–7 August 2026 ## [Data's hierarchy of needs revisited](https://yanirseroussi.com/2026/07/31/datas-hierarchy-of-needs-revisited/) _2026-07-31 · Yanir Seroussi – AI/ML Success Architect_ Updating data’s hierarchy of needs with org foundations and automated decisions. Neglect the base, and the top still fails. ## [How to use MetalLB LoadBalancer for k3s](https://vl8r.eu/posts/2026/07/30/how-to-use-metallb-loadbalancer-for-k3s/) _2026-07-30 · vincent@vl8r.eu (Vincent Lequertier) · Vincent Lequertier's blog_ ServiceLB has some limitations that one may want to alleviate. This guide walks through replacing k3s’s default ServiceLB with MetalLB. This guide covers MetalLB’s architecture (controller and speakers), installation via Helm, and configuration of IP address pools and layer 2 advertisements, how to use it and the Traefik ingress configuration. Rationale for using MetalLB for k3s By default, k3s… ## [A Four-Dimensional Rubik's Cube](https://theoryandpractice.org/2026/07/four-dimensional-rubiks-cube/) _2026-07-30 · Kyle Cranmer · Theory And Practice_ Porting an old Java applet of a 4D Rubik's cube to a modern web app with Claude Code. ## [Kimi K3 Architecture Notes](https://sebastianraschka.com/blog/2026/kimi-k3-architecture-notes.html) _2026-07-28 · Sebastian Raschka, PhD_ Short architecture note on Kimi K3, including LatentMoE, Kimi Delta Attention, Attention Residuals, NoPE, multimodality, and inference-efficiency choices. ## [My Neuro-Symbolic Meta-Policies paper was accepted at ISWC 2026](https://taewoon.kim/2026/07/28/roomkg-meta-policies-iswc-2026/) _2026-07-28 · Taewoon Kim · Taewoon Kim_ Why I want agents to choose their memory rules, not hide them ## [A Few Notable Open-Weight Models This Week](https://sebastianraschka.com/blog/2026/notable-open-weight-models-this-week.html) _2026-07-26 · Sebastian Raschka, PhD_ Short note on the architectures of six new open-weight models, including Nanbeige 4.2, Laguna S 2.1, Motif-3-Beta, Solar Open 2, Antares 1B, and BTL-3. ## [Correction for Listing 6.5 in Build a Reasoning Model From Scratch](https://sebastianraschka.com/blog/2026/reasoning-model-listing-6-5-correction.html) _2026-07-25 · Sebastian Raschka, PhD_ Short correction note for the random seed in Listing 6.5 on page 198 of Build a Reasoning Model From Scratch. ## [How to prompt LLM?](https://blog.sparsh.dev/how-to-prompt-llms/) _2026-07-22 · Sparsh · Verbose Tethics_ Prompting Techniques Use any one to many according to your knowledge. Roleplay : "Act as a senior database architect. Explain..." "You are a financial advisor speaking to a beginner investor. Explain..." "You're a financial advisor. Explain \[topic\] to a first-time investor." Decomposition : " ## [A Double-Feature Monday 27 July 2026: Join Us for Discussions on Multilingual Access and AI’s Societal Impact](https://dsup.substack.com/p/a-double-feature-monday-27-july-2026) _2026-07-21 · DS at UP · DS@UP 🚀_ We have an exciting double-feature lined up for Monday, 27 July 2026, and we want to personally invite you all to join us. ## [Beating FP16 with 4-bit Weights: A Portable W4A16 GEMM in Triton](https://subhadipmitra.com/blog/2026/w4a16-weight-only-gemm-triton/) _2026-07-20 · \["Subhadip Mitra"\] · Subhadip Mitra_ I wrote a 4-bit weight-only GEMM in pure Triton. The fast W4A16 kernels are all CUDA, so this one runs on NVIDIA and AMD. It beats cuBLAS FP16 by 1.1 to 1.3x in the decode regime, and the road there was mostly me being wrong about memory bandwidth. ## [Trust Nothing, Verify Everything: reproducing the Jacobian counterexample from my couch](https://korbonits.com/blog/2026-07-20-trust-nothing-verify-everything/) _2026-07-20 · Alex Korbonits_ ## [Why Data Scientists Keep Saying Not To Use Prophet](https://codebynight.dev/posts/why-data-scientists-are-skeptical-of-prophet-forecasts/) _2026-07-20 · Code by Night Learning to Program Journey Log_ I tested Prophet against seasonal naive and ETS on two monthly series to see why a clean forecast chart is not enough to trust the model. ## [Language model harnesses are compositional generalizers](https://alexzhang13.github.io/blog/2026/harness/) _2026-07-20 · Alex Zhang · blank_ Harnesses can lead to compositional generalization: we observe a property in training RLMs, in which similarly structured tasks are viewed as isomorphic and all individual LM calls in the harness become in-distribution. ## [Controlling Reasoning Effort in LLMs](https://magazine.sebastianraschka.com/p/controlling-reasoning-effort-in-llms) _2026-07-18 · Sebastian Raschka, PhD_ How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes ## [Inkling: A New Open-Weight 975B MoE with a Few Surprises](https://sebastianraschka.com/blog/2026/inkling-architecture-benchmark-notes.html) _2026-07-16 · Sebastian Raschka, PhD_ Architecture and benchmark notes on Thinking Machines Lab's 975B Inkling MoE, including short convolutions, relative-position bias, training, and effort control.