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The14
The-14 Media @The14@mastodon.world · Aug 06, 2026
Will companies ever be run by an AI CEO? #AICEO #AI #Business #Leadership #FutureOfWork #Technology #MachineLearning #Automation #CorporateLeadership #SamAltman #Meta #BusinessStrategy #FutureOfBusiness #Business #DigitalTransformation #Ethics #Workplace https://the-14.com/will-companies-ever-be-run-by-an-ai-ceo/
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anna
Dr. Anna Latour @anna@mathstodon.xyz · Aug 06, 2026
My wonderful PhD adviser is hiring! He's searching for a PhD student to work on combining search algorithms and machine learning. He's at the department where I did my MSc research back in the day, and where I had an amazing time. https://www.kuleuven.be/personeel/jobsite/jobs/60705642?lang=en #PhDLife #AcademicMastodon #AcademicChatter #GetFediHired #Belgium #MachineLearning #ComputerScience #Algorithms #Optimization
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The14
The-14 Media @The14@mastodon.world · Aug 05, 2026
As the skies get busier, will AI help air traffic controllers keep planes flying safely? #AI #Aviation #AirTrafficControl #AirTrafficManagement #Safety #AirTravel #Airlines #Tech #MachineLearning #Transportation #DigitalTwin #NATS #Airspace #FlightSafety https://the-14.com/as-the-skies-get-busier-will-ai-help-air-traffic-controllers-keep-planes-flying-safely/
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metin
Metin Seven @metin@graphics.social · Aug 04, 2026
This… 👇 https://nelson.cloud/ai-generated-images-discourage-me-from-reading-your-blog/ #tech #technology #BigTech #IT #AI #ArtificialIntelligence #LLM #LLMs #ML #MachineLearning #GenAI #generativeAI #AIAgent #AISlop #FuckAI #Fuck_AI #enshittification #microslop #microsoft #copilot #meta #google #NVIDIA #amazon #gemini #OpenAI #ChatGPT #anthropic #claude
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caten
Charlotte Aten @caten@mathstodon.xyz · Jul 29, 2026
Since Detexify is now #AI slop, I have updated my one-pager of advice for learning mathematics to recommend The Comprehensive LaTeX Symbol List (https://tug.ctan.org/info/symbols/comprehensive/symbols-a4.pdf) for finding symbols. This is kind of a bad solution, since Detexify solved the problem of knowing how to draw the symbol without knowing its name with a very appropriate use of traditional image recognition. It is absurd that there is no #FLOSS tool I can recommend instead. If no one builds it first, it'll go on my list of things to do. My one-pager: https://aten.cool/one_pager.html Sloppified Detexify: https://detexify.kirelabs.org/#/about #NoAI #LLM #math #mathematics #Tex #LaTeX #TeXLaTeX #MachineLearning #ImageRecognition #NeuralNetworks
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news
NewTqnia Technology News @news@newtqnia.com · Jul 29, 2026

Robots Pause to Think. This New AI Method Lets Them Plan While Moving

MIT researchers developed VLASH, a method that predicts where a robot will be while it is still moving, then prepares the next instruction in advance. Tests improved reaction and task speed, but the work remains a preprint demonstrated mainly in controlled laboratory tasks. Hover or focus to reveal Sensitive
MIT researchers developed VLASH, a method that predicts where a robot will be while it is still moving, then prepares the next instruction in advance. Tests improved reaction and task speed, but the work remains a preprint demonstrated mainly in controlled laboratory tasks. Robots Pause to Think. This New AI Method Lets Them Plan While Moving
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datastory
Eugene @datastory@mstdn.ca · Jul 28, 2026
📉 Comparing the Solid-to-Tree Ratio with the Land Surface Temperature (LST) data obtained in the previous phase of the study allows for a visual assessment of the relationship between surface sealing and summer surface heating across Calgary’s residential communities. 🔥 The plot reveals a strong pattern for the vast majority of communities: a sharp increase in temperature occurs within the ratio range of 0 to 5. The Downtown Commercial Core stands out as a distinct outlier, where low LST values are driven by deep geometric shading from high-rise buildings. Additionally, neighborhoods such as Manchester, Seton, Redstone, Beltline, and Rangeview, among a few others, slightly diverge from the main trend. 📊 Full methodology and additional charts via the link:👇 https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/ #Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary
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datastory
Eugene @datastory@mstdn.ca · Jul 27, 2026
Which Calgary neighborhoods are best built to withstand summer heatwaves? 🌳☀️ To measure structural climate resilience across the city, I conducted a spatial analysis of 193 established residential communities, calculating the Solid-to-Tree Ratio—comparing bare artificial surfaces (asphalt, concrete, rooftops) directly against total tree canopy area. Here are the Top 10 most shade-rich and climate-resilient communities in Calgary: 🟢 Queens Park Village — 0.3 (Just 0.3 ha of hard surface for every 1 ha of canopy!) 🟢 Discovery Ridge — 0.5 🟢 Roxboro — 0.5 🟢 Wildwood — 0.6 🟢 Rideau Park — 0.7 🟢 Medicine Hill — 0.8 🟢 Upper Mount Royal — 0.8 🟢 Crestmont — 0.9 🟢 Elbow Park — 0.9 🟢 Shaganappi — 0.9 👇 The full interactive dataset and study are here: https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/ #UrbanAnalytics #GeospatialData #RemoteSensing #GIS #UrbanForestry #CityPlanning #Calgary #DataScience #Microclimate #MachineLearning #GreennessOfCalgary #RStats #FOSSGIS
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news
NewTqnia Technology News @news@newtqnia.com · Jul 27, 2026

An AI Could Warn Hospitals About Kidney Injury Before the Damage Becomes Obvious

A new multicentre AI framework analyses changing hospital data to predict acute kidney injury and explain which signals shaped its warning. The research could support earlier intervention, but retrospective prediction is not proof that alerts will improve patient outcomes in real clinical practice. Hover or focus to reveal Sensitive
A new multicentre AI framework analyses changing hospital data to predict acute kidney injury and explain which signals shaped its warning. The research could support earlier intervention, but retrospective prediction is not proof that alerts will improve patient outcomes in real clinical practice. An AI Could Warn Hospitals About Kidney Injury Before the Damage Becomes Obvious
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pustam_egr
Pustam | पुस्तम | পুস্তম🇳🇵 @pustam_egr@mathstodon.xyz · Jul 26, 2026
John Tukey the Fast Fourier Transform (FFT) inventor, who coined both "bit" and "software" died exactly 26 years ago today. The Fast Fourier Transform (FFT), one of the most important algorithms in signal processing and data analysis, was introduced by Tukey & Cooley in 1965. In 1805, Gauss - studying the orbits of asteroids Pallas and Juno - came up with a method to interpolate their trajectories from discrete samples. What he came up with was mathematically very close to the modern FFT but Gauss never published that work, and didn’t analyze its computational complexity. It predated even Fourier’s 1822 work on heat diffusion - but without the framing or generalization that Cooley & Tukey would bring 160 years later. In 1965, Cooley & Tukey published their now-famous algorithm that reduced the cost of computing a Discrete Fourier Transform from 𝑂(𝑛²) to 𝑂(𝑛 log⁡𝑛). This leap made real-time signal processing and digital media compression feasible. From radio telescopes to JPEGs, from audio codecs to quantum mechanics - the FFT is everywhere. It’s one of the most important (and elegant) algorithms of the 20th century - rooted in the genius of Gauss, but brought to life in the computer age. #JohnTukey #FastFourierTransform #FFT #SignalProcessing #ComputerScience #Mathematics #Algorithm #DataScience #DigitalSignalProcessing #FourierTransform #ComputationalScience #ScientificComputing #HistoryOfScience #Innovation #CarlFriedrichGauss #JosephFourier #JamesCooley #STEM #Engineering #ArtificialIntelligence #MachineLearning #QuantumComputing #ImageProcessing #AudioProcessing #Statistics #TechHistory #Computing #Science #InnovationLegacy #OnThisDay
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jcrabapple
jcrabapple @jcrabapple@dmv.community · Jul 26, 2026

The environmental cost of running LLMs keeps climbing, but a few inference providers are running on 100% clean energy out of the box:

  • Regolo (https://regolo.ai/sustainable-ai/) EU-hosted GPU clusters running on wind and solar power, using zero-water cooling.
  • GreenPT (https://greenpt.com/api) European OpenAI-compatible API powered 100% by renewables in ISO-certified datacenters.
  • Riveon (https://riveon.io/) Swiss provider with Finnish GPU sites powered 100% by renewables, offering OpenAI-compatible endpoints.
  • Upgreat (https://www.upgreat.ai/) Carbon-aware EU compute that schedules workloads around clean energy windows from on-site solar farms.

Good options if you want clean compute for open-weights inference without relying on carbon offsets.

#AI #GreenTech #OpenSource #Sustainability #MachineLearning #Tech

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BuySellRam
BuySellRam.com @BuySellRam@mstdn.business · Jul 25, 2026
Two years ago an H100 was almost impossible to rent. Now cloud H100s list near $4 per GPU-hour, and used hardware has fallen just as hard. So which is cheaper, renting or owning? It comes down to utilization. A used 8-GPU H100 server can pay for itself in about 8 months at full load, but not for years if it sits at 30%. And resale value, which most comparisons skip... https://www.buysellram.com/blog/cloud-h100s-rent-for-4-an-hour-now-does-owning-gpus-still-pay/ #GPU #H100 #NVIDIA #CloudComputing #MachineLearning #DataCenter #ITAD #GPUcloud #AIhardware
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news
NewTqnia Technology News @news@newtqnia.com · Jul 23, 2026

AMD Is Building an Entire AI Machine to Challenge Nvidia, Not Just Another Chip

AMD is preparing Helios, a rack-scale AI system that combines processors, networking and software into one platform aimed at challenging Nvidia. Major commitments from Anthropic and Microsoft give the strategy credibility, but deployments, independent benchmarks, power efficiency and software maturity will determine whether it becomes a true alternative. Hover or focus to reveal Sensitive
AMD is preparing Helios, a rack-scale AI system that combines processors, networking and software into one platform aimed at challenging Nvidia. Major commitments from Anthropic and Microsoft give the strategy credibility, but deployments, independent benchmarks, power efficiency and software maturity will determine whether it becomes a true alternative. AMD Is Building an Entire AI Machine to Challenge Nvidia, Not Just Another Chip
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