Machine learning and logistic regression in estimating survival in patients with high-malignant deep-seated soft tissue sarcomas: development and analysis based on a population-based retrospective cohort
Andrea Thorn et al.
ttps://doi.org/10.2340/17453674.2026.45509
#High_malignt #Machine_learning

DarioHealth Achieves Significant Blood Glucose Management Through Machine Learning Research Published in Frontiers DarioHealth's latest research highlights the effective management of blood glucose levels using personalized engagement strategies for over 22,000 users.

DarioHealth Achieves Significant Blood Glucose Management Through Machine Learning Research Published in Frontiers #USA #New_York #Machine_Learning #DarioHealth #Blood_Glucose

Fractal Introduces PiEvolve: A Breakthrough in Autonomous AI and Machine Learning Fractal has unveiled PiEvolve, a new evolution-driven engine for AI that excels in machine learning and scientific discovery, setting new benchmarks.

Fractal Introduces PiEvolve: A Breakthrough in Autonomous AI and Machine Learning #USA #New_York #Machine_Learning #Fractal_AI #Pievolve

Discover the World of Machine Learning with This Comprehensive Beginner's Guide Unveil the secrets of machine learning with a new book that's perfect for students and new engineers. Understand key concepts easily without complex math.

Discover the World of Machine Learning with This Comprehensive Beginner's Guide #Japan #Tokyo #Machine_Learning #AI_Development #RevComm

Welcome, Singularity [Note: I’ve been working most of the year on a Sci-Fi novel about AI & doing only a little blogging. In the novel, the poem below was “created” by one of the three Main Charac…

#AI #Machine_Learning #poem #poetry #satire #Singularity
petersironwood.com/2023/08/23/w...

Introducing the Cat Breed Image Dataset for Machine Learning by PIXTA PIXTA has launched a machine learning dataset featuring 1,000 high-quality cat breed images to support AI development in various fields.

Introducing the Cat Breed Image Dataset for Machine Learning by PIXTA #Japan #Machine_Learning #Shibuya #PIXTA #Cat_Breed

Revolutionizing Food Allergy Diagnostics with Advanced AI Technology Recent research indicates that machine learning and deep learning AI models can significantly improve food allergy diagnostics, showcasing a 40% increase in accuracy compared to traditional methods.

Revolutionizing Food Allergy Diagnostics with Advanced AI Technology #USA #Machine_Learning #food_allergy #Milwaukee #Deep_Learning

Advanced Analytics Market To Reach $193.23 Billion By 2031 Through Sustained Growth MarketsandMarkets™ projects the Advanced Analytics Market to skyrocket from USD 97.17 billion in 2026 to USD 193.23 billion by 2031, driven by enterprise needs.

Advanced Analytics Market To Reach $193.23 Billion By 2031 Through Sustained Growth #USA #Delray_Beach #Machine_Learning #Cloud_Native #Analytics_Market

Impulse AI Unveils Revolutionary Autonomous Machine Learning Engineer Outperforming 97.5% of Human Competitors Impulse AI has launched a groundbreaking autonomous machine learning platform that significantly reduces development time for AI models, outperforming human engineers on Kaggle.

Impulse AI Unveils Revolutionary Autonomous Machine Learning Engineer Outperforming 97.5% of Human Competitors #United_States #San_Francisco #Machine_Learning #Kaggle #Impulse_AI

機械学習、本格的に始めてみようかなって。Kaggleに手を出す
初手青本で詰んだので、色々実験してる。以下は重回帰分析で、相関係数の高いラベル同士を見つけている図。何を言ってるか分からないと思うが、僕も何をやっているかは分からない
#Kaggle #machine_learning

Destroying Natural Intelligence At first, they seemed as though they were simply errors. In fact, they were the types of errors you’d expect an AI system to make if it’s “intelligence” were based on a fairly uncritical amalgam of…

#AI #greed #machine_learning
petersironwood.com/2025/03/27/d...

Destroying Natural Intelligence At first, they seemed as though they were simply errors. In fact, they were the types of errors you’d expect an AI system to make if it’s “intelligence” were based on a fairly uncritical amalgam of…

petersironwood.com/2025/03/27/d...
#AI #ChatGPT #machine_learning #thought #thinking #ethics

#OET_highlight Decoding subject-invariant emotional information from cardiac signals detected by photonic sensing system doi.org/10.29026/oet... by Prof. #Rui_Min @BNU_1902 #photonic #sensing #emotion_recognition #machine_learning #subject_invariant

Abracadabra! Abracadabra!   Here’s the thing.   There is no magic.   Of course, there is the magic of love and the wonder at the universe and so there is metaphorical magic. But there is no physical magic and n…

petersironwood.com/2026/01/20/a...
#AI #Greed #future #ethics #ChatGPT #machine_learning #magic

CompuChild Enhances After-School AI and Machine Learning Programs for Kids CompuChild is expanding its AI and ML classes aimed at elementary and middle school students, promoting early awareness and understanding of these technologies.

CompuChild Enhances After-School AI and Machine Learning Programs for Kids #United_States #Machine_Learning #Dublin,_California #COMPUCHILD #AI_Classes

“Comparative Study of Machine Learning Methods for Modeling Graphene-Based Adsorption in Water Treatment”

#adsorption
#machine_learning
#RSM

onlinelibrary.wiley.com/doi/10.1002/...

“Turing’s Nightmares” explores the #future &#ethics of #AI through 23 #short_stories #ChatGPT #Machine_learning #utopia #distopia #fiction #scenarios
Http://tinyurl.com/hz6dg2d

2025's Leading Machine Learning Platforms Revealed Through User Insights The 2025 Machine Learning Emotional Footprint Report uncovers the best machine learning platforms based on user feedback, highlighting their effectiveness in AI.

2025's Leading Machine Learning Platforms Revealed Through User Insights #USA #Arlington #Machine_Learning #Info-Tech #AI_Platforms

Predictive Modeling of Membrane Fouling in Domestic Wastewater Membrane Bioreactor Using Machine Learning Machine learning models accurately predicted membrane fouling in a membrane bioreactor using water quality descriptors, with decision tree regression achieving the highest performance (R2 = 0.99). Th...

“Predictive Modeling of Membrane Fouling in Domestic Wastewater Membrane Bioreactor Using Machine Learning”

#domestic_wastewater
#membrane_fouling
#machine_learning

onlinelibrary.wiley.com/doi/10.1002/...

Snowflake Accelerates Machine Learning with Native NVIDIA CUDA-X Integration The partnership between Snowflake and NVIDIA enhances machine learning workflows by integrating NVIDIA's CUDA-X libraries directly into Snowflake's platform.

Snowflake Accelerates Machine Learning with Native NVIDIA CUDA-X Integration #United_States #New_York #Machine_Learning #NVIDIA #Snowflake

At the Workshop on Geometry, Topology, and Machine Learning #GTML2025 , Anna Gilbert describes a whole field in machine learning that used problematic benchmarks. When she tried to replicate the results, her team shows that usual NN were able to outperform the most advanced architectures in the […]

A Critical Review on the Progress, Challenges, and Future Outlook of Forward Osmosis Desalination in the 21st Century Forward osmosis combined with other membrane-based processes is now reorganized as a promising technology for water desalination and clean water production. However, the development of suitable membr...

"A Critical Review on the Progress, Challenges, and Future Outlook of Forward Osmosis Desalination in the 21st Century"

#forward_osmosis
#commercialization
#machine_learning

onlinelibrary.wiley.com/doi/10.1002/...

PIXTA Launches a Comprehensive Dog Breed Image Dataset for Machine Learning PIXTA has introduced a unique dog breed image dataset designed for machine learning applications, featuring images of 80 popular breeds.

PIXTA Launches a Comprehensive Dog Breed Image Dataset for Machine Learning #Japan #Tokyo #Machine_Learning #Dogs #PIXTA

Researchers create AI for infinite soulless 3D worlds
boingboing.net/2025/10/27/researchers-c...
#3D_graphics #artificial_intelligence #machine_learning #procedural_generation #Technology #virtual_environments #boingboing

Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons - Scientific Reports Scientific Reports - Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons

New multi-label #machine_learning models (predicting both #Photovoltaic (PV) DC and AC grid power). #Random_Forest, #Decision_Tree, and #Deep_Learning perform best. #Cairo #Weather #Power_Forecast
www.nature.com/articles/s41...

Revolutionary Machine Learning Method Doubles Crystal Structure Prediction Accuracy A groundbreaking machine learning technique has been developed to enhance the accuracy of crystal structure predictions, significantly speeding up pharmaceutical and functional organic materials development.

Revolutionary Machine Learning Method Doubles Crystal Structure Prediction Accuracy #Japan #Tokyo #Machine_Learning #Crystal_Structure #Organic_Molecules

Image 1: Alt Text Text block on light gray background with purple highlights marking key phrases. The text describes a study on AI-generated civic education lesson plans evaluated using Bloom's Taxonomy and Banks' multicultural model. Purple highlights emphasize findings that AI plans lacked higher-order thinking and diverse perspectives. Caption A Massachusetts study examined AI-generated civics lesson plans against educational standards for critical thinking and cultural diversity. Researchers found the AI tools rarely developed advanced reasoning skills or multicultural perspectives. The study recommends teachers carefully review and enhance AI-generated materials to ensure students receive rigorous, inclusive learning experiences that promote critical analysis.

Image 2: Alt Text Title slide with dark text on light gray background. Large heading reads "Civic Education in the Age of AI: Should We Trust AI-Generated Lesson Plans?" Authors listed below in alternating green and gray text: Torrey Trust, Robert Maloy, Chenyang Xu, and Kael Pelletier, all from University of Massachusetts Amherst. Caption This research presentation examines whether AI-generated lesson plans meet educational standards for civics instruction. Four University of Massachusetts Amherst researchers investigated AI's capacity to create materials that develop critical thinking and incorporate diverse perspectives. Their findings raise important questions about the role of artificial intelligence in preparing democratic citizens and supporting teacher workload.

#education #edtech #ai #LLM #machine_learning

You can't simulate excellent teaching. arstechnica.com/ai/2025/10/teachers-get-...