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Day 48 of learning AI/ML

I studied Statistics & Probability
(Khan Academy - Unit 3)

• Interquartile range & range
• Variance & standard deviation
• Understanding spread of data
• Population vs sample variance/std
• Mean & std vs median & IQR

#LearnInPublic #AI #ML

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Your MCP Server Is Eating Your Context Window. There's a Simpler Way TL;DR: MCP tool definitions can burn 55,000+ tokens before an agent processes a single user message. We built the Apideck CLI as an AI-agent interface instead:an ~80-token agent prompt replaces tens o...

MCP Token Efficiency: this is apparently a real concern - and it's making me think that my current API-shape-driven client-side tool defs might be worth investing more in - check out this article: www.apideck.com/blog/mcp-ser... #ai #mcp #llms #tokens #ml

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The Power of Spiking Neural Networks: Simulating a Fly’s Brain In March 2026, researchers achieved something once relegated to speculative fiction, they simulated an entire adult fruit fly brain, all ~140,000 neurons and ~50 million synapses, inside a computer, w...

It is now possible to simulate an entire insect brain inside a computer. In this article, I explore Spiking Neural Networks (SNNs), a class of computational models designed to capture the behaviour of biological neurons. #AI #ML #AIResearch #FlyBrain www.linkedin.com/pulse/power-...

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Google proposed a training method that teaches #LLMs to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system.

The goal: improve how models update beliefs as new information arrives during multi-step interactions.

🔗 bit.ly/4cJRj97

#AI #ML #InfoQ

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📣 Our paper “On the (In)Security of Loading Machine Learning Models” has been accepted at IEEE S&P 2026 (13% acceptance rate this cycle). (1/5)

👇 Preprint: arxiv.org/abs/2509.06703

#ieeesp #ieeesp26 #ieee #cybersecurity #softwaresecurity #aisecurity #machinelearning #ml #zeroday

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🔥 New paper! Turns out denoising diffusion is a contractive fractal system, where the noise schedule is literally sculpting an attractor toward your data distribution🌀 A math dive with huge practical payoff
#GenAI #ML​​​​​​​​​​​​​​​​ #image #DenoisingDiffusion #FractalGeometry

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How Generative and Agentic AI Shift Concern from Technical Debt to Cognitive Debt The term technical debt is often used to refer to the accumulation of design or implementation choices that later make the software harder and more costly to understand, modify, or extend over time...

sn-news: #management #ai #ml #lm #hmc How Generative and Agentic AI Shift Concern from Technical Debt to Cognitive Debt margaretstorey.com/blog/2026/02...

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sn-news: #ai #ml #security A Practical Guide for Securing AI Models www.rand.org/pubs/tools/T...

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Cloud ML testing pushes people to skip risky inputs to save money/privacy. InferProbe lets you test everything locally without compromise. What's the riskiest input you've been hesitant to throw at your model?

#MachineLearning #ArtificialIntelligence #DevTools #ML #AI

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Intelligent AI Delegation AI agents are able to tackle increasingly complex tasks. To achieve more ambitious goals, AI agents need to be able to meaningfully decompose problems into manageable sub-components, and safely…

sn-news: #ai #ml #lm #hmc Intelligent AI Delegation arxiv.org/abs/2602.11865

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Day 47 of learning AI/ML

I studied Statistics & Probability
(@khanacademy -Unit 3)
• Calculating mean, median, mode
• Effects of outliers on mean & median
• Impact of shifting, adding, removing data
• Mean as the balancing point
• Solving missing-value puzzles

#LearnInPublic #AI #ML

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"Researchers/scholars illegally experimenting" they didn't want me thinking it out loud in my #brain, thus wld show mentioned in their #ML #pipeline #training #data. #Mindcontrol @vonderleyen.ec.europa.eu @ec.europa.eu @europol.europa.eu @interpol.int @pewresearch.org @ihr.bsky.social @irtf.org #AI

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InferProbe: Fearless ML debugging — local, private, cheap. Perturb aggressively, get clear answers, ship confidently. What one feature would make your testing 10× easier?

#MachineLearning #ArtificialIntelligence #DevTools #ML #AI

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Hallucination is a major concern in Radiology AI; this new article defines the problem https://doi.org/10.1148/ryai.250203 #AIhallucination #ML #MachineLearning

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Day 46 of learning AI/ML

I studied Statistics & Probability
(@khanacademy - Unit 2)

• Shapes of distributions
• Identifying clusters, gaps & peaks
• Comparing distributions with dot plots, histograms & box plots
• Comparing center and spread of datasets

#LearnInPublic #AI #ML

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am i each day closer to draw manga #yaoi #ml

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Happy #PiDay! π may be infinite, but at TTIC we love turning elegant math into real algorithms—powering advances in #ML, #computervision, #NLP, #robotics, and beyond. Here’s to the constant that keeps inspiring new ideas in #computerscience.

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

A comprehensive, machine-interpretable taxonomy of AI performance metrics https://doi.org/10.1148/ryai.260070 #AI #AIperformance #ML

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Data Resources articles describe important datasets, algorithms, and standards made available to the #AI community https://pubs.rsna.org/page/ai/data_resources #ML #Radiomics #ArtificialIntelligence

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Nvidia launches 120B parameter Nemotron 3 Super open model Nvidia launched Nemotron 3 Super, a 120-billion-parameter open-weight model designed for large-scale agentic AI systems. The company announced the release

NVIDIA's Nemotron 3 Super is a 120B parameter open model delivering 5x higher throughput for agentic AI, a 1M token context window, and open weights under a permissive license. A significant shift in the enterprise ML landscape.
#MachineLearning #ML #NVIDIA #AgenticAI

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Recognizing our most engaged and thorough reviewers of 2025 with the Editor's Recognition Awards https://doi.org/10.1148/ryai.260178 #AI #reviewers #ML

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Google Fixes Two Chrome Zero-Days Exploited in the Wild Affecting Skia and V8 Google on Thursday released security updates for its Chrome web browser to address two high-severity vulnerabilities that it said have been exploited in the wild. The list of vulnerabilities is as follows - CVE-2026-3909 (CVSS score: 8.8) - An out-of-bounds write vulnerability in the Skia 2D graphics library that allows a remote attacker to perform out-of-bounds memory access via a crafted HTML

Google Fixes Two Chrome Zero-Days Exploited in the Wild Affecting Skia and V8

Google on Thursday released security updates for its Chrome web browser to address two high-severity vulnerabilities that it said have been exploited in the wild.
The list of vulnerabilities is as f…
#hackernews #ml #news

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

A Taxonomy of Machine Hallucination in Radiology https://doi.org/10.1148/ryai.250203 #AIhallucination #Radiology #ML

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China-nexus Threat Actor Targets Persian Gulf Region With PlugX ThreatLabz observed a new activity from a China-nexus threat actor targeting countries in the Persian Gulf region on March 1, 2026. The threat actor quickly weaponized the theme of the conflict in the Middle East, using an Arabic-language document lure depicting missile attacks for social engineering. The campaign used a multi-stage attack chain that ultimately deployed a PlugX backdoor variant. The attack chain involved a ZIP archive containing a Windows shortcut file that downloaded a malicious Windows Compiled HTML Help file from a threat actor-controlled server. The CHM content was then leveraged to deploy a multi-stage payload, progressing from a shellcode loader to heavily obfuscated shellcode, and ultimately to the installation of a PlugX backdoor variant. The PlugX backdoor variant used in this campaign supports HTTPS for command-and-control communication and DNS-over-HTTPS for domain resolution. The shellcode and PlugX backdoor used obfuscation techniques such as control flow flattening and mixed boolean arithmetic to hinder reverse engineering. The threat actor used a custom index-based XOR algorithm to decrypt strings and the encrypted shellcode payload. The decrypted payload contained a corrupted MZ/PE header, which was used as an anti-forensics mechanism to evade memory forensics solutions. The PlugX backdoor was reflectively loaded by mapping all the sections to memory allocated using VirtualAlloc, performing relocations, resolving imports, and marking the memory region as executable. The decrypted and decompressed payload was loaded into memory, and the PlugX configuration was decrypted in two stages using custom algorithms. The decrypted configuration revealed the C2 channels, including TCP, HTTPS, and DOH for domain resolution, as well as the supported C2 commands. The threat actor used a decoy PDF containing images of missile strikes, with Arabic text translating to "Iranian missile strikes against US base in Bahrain". The attack chain involved multiple stages, including the use of a Windows shortcut file, a CHM file, and a shellcode loader, to ultimately deploy the PlugX backdoor variant. The use of obfuscation techniques, such as control flow flattening and mixed boolean arithmetic, made it difficult to reverse engineer the malware. The campaign demonstrated the threat actor's ability to quickly adapt to current events and use social engineering tactics to target victims in the Persian Gulf region.

China-nexus Threat Actor Targets Persian Gulf Region With PlugX

ThreatLabz observed a new activity from a China-nexus threat actor targeting countries in the Persian Gulf region on March 1, 2026. The threat actor quickly weaponized the theme of the conflict in the Middle East…
#hackernews #ml #news

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Collaboration celebration.
@terryfoxresearch.bsky.social president & scientific director, @jwoodgett.bsky.social reflects on how joining forces with MEDTEQ+ has helped accelerate the DHDP and the Innovation Fund.

www.dhdp.ca/updates/news... (EN)

#precisionmedicine #AI #ML #datasharing

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Day 45 of learning AI/ML

I studied Statistics & Probability
(@khanacademy - Unit 2)

• Representing quantitative data
• Frequency tables & dot plots
• Creating & interpreting histograms
• Stem and leaf plots

#LearnInPublic #AI #ML

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How to Create a DAO in 2026: 5 Critical Factors to Consider Creating a DAO in 2026 requires more than deploying smart contracts. You need a clear strategic vision, a proper legal wrapper (Wyoming, Marshall Islands, or EU under MiCA), modular cross-chain architecture, AI-secured governance, and ongoing AML compliance. Costs range from $5K for basic templates to $400K+ for advanced DeFi DAOs, with security audits and legal engineering being critical to long-term sustainability.

How to Create a DAO in 2026: 5 Critical Factors to Consider

Creating a DAO in 2026 requires more than deploying smart contracts. You need a clear strategic vision, a proper legal wrapper (Wyoming, Marshall Islands, or EU under MiCA), modular cross-chain architecture, AI-secur…
#hackernews #ml #news

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