The Ghost Town in Your Flash Array #Technology #EmergingTechnologies #Other #ghosttownstorage #hotstorage #modernarchiving #dataefficiency #systemadministration
https://puretech.news/read?id=235074570703339520
https://puretech.news/read?id=235074570703339520
The Ghost Town in Your Flash Array | HackerNoon
Modern storage infrastructure is plagued by the problem of 90% of data being untouched and occupying expensive hot storage tiers
puretech.news
October 11, 2026 at 7:55 PM
The Ghost Town in Your Flash Array #Technology #EmergingTechnologies #Other #ghosttownstorage #hotstorage #modernarchiving #dataefficiency #systemadministration
https://puretech.news/read?id=235074570703339520
https://puretech.news/read?id=235074570703339520
Nevada's State Board of Education is taking a bold step to streamline reporting by eliminating outdated regulations that burden schools and enhance efficiency.
Click to read more!
#NV #CitizenPortal #AdministrativeBurden #NevadaEducation #DataEfficiency #RegulatoryReform
Click to read more!
#NV #CitizenPortal #AdministrativeBurden #NevadaEducation #DataEfficiency #RegulatoryReform
State Board workshop outlines removal of outdated reporting rules in NAC 387, 389 and repeal of unused special-education unit rule
The Nevada Department of Education told the Board it will remove duplicative or obsolete reporting requirements in NAC chapters related to charter-school budgets, industry-recognized credentials and special-education program units to reduce administrative burden and reflect current reporting practices.
citizenportal.ai
September 28, 2026 at 3:40 AM
Nevada's State Board of Education is taking a bold step to streamline reporting by eliminating outdated regulations that burden schools and enhance efficiency.
Click to read more!
#NV #CitizenPortal #AdministrativeBurden #NevadaEducation #DataEfficiency #RegulatoryReform
Click to read more!
#NV #CitizenPortal #AdministrativeBurden #NevadaEducation #DataEfficiency #RegulatoryReform
QCNNs achieve meaningful image classification from as few as 10 training samples with generalization error scaling with parameter count rather than Hilbert space dimension. Data encoding emerges as the dominant bottleneck for scaling, not optimization.
#QuantumML #DataEfficiency #Research
#QuantumML #DataEfficiency #Research
Few-Shot Generalization in Quantum Convolutional Neural Networks
arxiv.org
September 22, 2026 at 12:16 PM
QCNNs achieve meaningful image classification from as few as 10 training samples with generalization error scaling with parameter count rather than Hilbert space dimension. Data encoding emerges as the dominant bottleneck for scaling, not optimization.
#QuantumML #DataEfficiency #Research
#QuantumML #DataEfficiency #Research
🤖 Explicit Harness Design Boosts AI Agent Reliability
The introduction of DS Lighting, a unified harness toolkit for data science automation, improves reproducibility, comparability, and reliability in large language...
#DataEfficiency #DeepLearning #Benchmarking #AI #AIPulse
The introduction of DS Lighting, a unified harness toolkit for data science automation, improves reproducibility, comparability, and reliability in large language...
#DataEfficiency #DeepLearning #Benchmarking #AI #AIPulse
Read the full article →
www.synestesia.uk
September 1, 2026 at 7:37 AM
🤖 Explicit Harness Design Boosts AI Agent Reliability
The introduction of DS Lighting, a unified harness toolkit for data science automation, improves reproducibility, comparability, and reliability in large language...
#DataEfficiency #DeepLearning #Benchmarking #AI #AIPulse
The introduction of DS Lighting, a unified harness toolkit for data science automation, improves reproducibility, comparability, and reliability in large language...
#DataEfficiency #DeepLearning #Benchmarking #AI #AIPulse
🤖 Tsinghua Professor: Adaptable Robots Require More Than Scaling
Tsinghua University's Professor Xu Mengdi finds that building adaptable general robots cannot solely rely on scaling up model size and data, but also requires...
#Robotics #DataEfficiency #GenerativeAI #AI #AIPulse
Tsinghua University's Professor Xu Mengdi finds that building adaptable general robots cannot solely rely on scaling up model size and data, but also requires...
#Robotics #DataEfficiency #GenerativeAI #AI #AIPulse
Read the full article →
www.synestesia.uk
August 30, 2026 at 7:40 PM
🤖 Tsinghua Professor: Adaptable Robots Require More Than Scaling
Tsinghua University's Professor Xu Mengdi finds that building adaptable general robots cannot solely rely on scaling up model size and data, but also requires...
#Robotics #DataEfficiency #GenerativeAI #AI #AIPulse
Tsinghua University's Professor Xu Mengdi finds that building adaptable general robots cannot solely rely on scaling up model size and data, but also requires...
#Robotics #DataEfficiency #GenerativeAI #AI #AIPulse
🤖 Cloudflare Cuts DNS Cache Memory Usage by 50%, Frees 100 TB
Cloudflare reduced its DNS cache memory usage by over 50% through five successive changes, freeing up approximately 100 terabytes of memory across its fleet....
#OperationalEfficiency #DataEfficiency #Performance #AI #AIPulse
Cloudflare reduced its DNS cache memory usage by over 50% through five successive changes, freeing up approximately 100 terabytes of memory across its fleet....
#OperationalEfficiency #DataEfficiency #Performance #AI #AIPulse
Read the full article →
www.synestesia.uk
August 28, 2026 at 11:37 AM
🤖 Cloudflare Cuts DNS Cache Memory Usage by 50%, Frees 100 TB
Cloudflare reduced its DNS cache memory usage by over 50% through five successive changes, freeing up approximately 100 terabytes of memory across its fleet....
#OperationalEfficiency #DataEfficiency #Performance #AI #AIPulse
Cloudflare reduced its DNS cache memory usage by over 50% through five successive changes, freeing up approximately 100 terabytes of memory across its fleet....
#OperationalEfficiency #DataEfficiency #Performance #AI #AIPulse
🤖 Thai Researchers Adapt Dolma for Improved Language Models
A team of Thai researchers used Dolma to create a 47 billion token Thai pretraining corpus, addressing challenges in building high quality training datasets for Thai...
#DeepLearning #GenerativeAI #DataEfficiency #AI #AIPulse
A team of Thai researchers used Dolma to create a 47 billion token Thai pretraining corpus, addressing challenges in building high quality training datasets for Thai...
#DeepLearning #GenerativeAI #DataEfficiency #AI #AIPulse
Read the full article →
www.synestesia.uk
August 26, 2026 at 10:38 PM
🤖 Thai Researchers Adapt Dolma for Improved Language Models
A team of Thai researchers used Dolma to create a 47 billion token Thai pretraining corpus, addressing challenges in building high quality training datasets for Thai...
#DeepLearning #GenerativeAI #DataEfficiency #AI #AIPulse
A team of Thai researchers used Dolma to create a 47 billion token Thai pretraining corpus, addressing challenges in building high quality training datasets for Thai...
#DeepLearning #GenerativeAI #DataEfficiency #AI #AIPulse
🤖 Deep learning boosts pediatric MRI scan quality with single ultra-low-field input
Deep learning models can generate high quality pediatric MRI scans from a single ultra low field input scan, reducing the need for multiple...
#DeepLearning #MedicalImaging #DataEfficiency #AI #AIPulse
Deep learning models can generate high quality pediatric MRI scans from a single ultra low field input scan, reducing the need for multiple...
#DeepLearning #MedicalImaging #DataEfficiency #AI #AIPulse
Read the full article →
www.synestesia.uk
August 26, 2026 at 3:34 AM
🤖 Deep learning boosts pediatric MRI scan quality with single ultra-low-field input
Deep learning models can generate high quality pediatric MRI scans from a single ultra low field input scan, reducing the need for multiple...
#DeepLearning #MedicalImaging #DataEfficiency #AI #AIPulse
Deep learning models can generate high quality pediatric MRI scans from a single ultra low field input scan, reducing the need for multiple...
#DeepLearning #MedicalImaging #DataEfficiency #AI #AIPulse
Chomsky says kids pick up language in months, while AI needs billions of tokens. Is the data‑efficiency gap the next frontier? Find out why OpenAI’s ChatGPT still lags behind child development. #LanguageLearning #DataEfficiency #LLM
🔗 aidailypost.com/news/chomsky...
🔗 aidailypost.com/news/chomsky...
August 24, 2026 at 11:39 PM
Chomsky says kids pick up language in months, while AI needs billions of tokens. Is the data‑efficiency gap the next frontier? Find out why OpenAI’s ChatGPT still lags behind child development. #LanguageLearning #DataEfficiency #LLM
🔗 aidailypost.com/news/chomsky...
🔗 aidailypost.com/news/chomsky...
Un enfant maîtrise sa langue avec ~10M de mots entendus. Un LLM en ingurgite jusqu'à 100 000 fois plus. Pourquoi un tel écart ? 🤔
Et si l'IA, en imitant l'apprentissage humain, devenait plus sobre en données ?
#IA #Linguistique #DataEfficiency
technologyreview.com
Et si l'IA, en imitant l'apprentissage humain, devenait plus sobre en données ?
#IA #Linguistique #DataEfficiency
technologyreview.com
Kids outlearn AI—and we still don’t know why
LLMs need vastly more data than children to learn language. Understanding why could help us create more efficient models—and reveal more about developing minds.
www.technologyreview.com
August 25, 2026 at 10:46 AM
Un enfant maîtrise sa langue avec ~10M de mots entendus. Un LLM en ingurgite jusqu'à 100 000 fois plus. Pourquoi un tel écart ? 🤔
Et si l'IA, en imitant l'apprentissage humain, devenait plus sobre en données ?
#IA #Linguistique #DataEfficiency
technologyreview.com
Et si l'IA, en imitant l'apprentissage humain, devenait plus sobre en données ?
#IA #Linguistique #DataEfficiency
technologyreview.com
🤖 Agents retain memories to boost coding efficiency
Large language model coding agents are increasingly using pre loaded memories to improve efficiency, reducing reliance on empty context windows. This shift...
#AIInference #OperationalEfficiency #DataEfficiency #AI #AIPulse
Large language model coding agents are increasingly using pre loaded memories to improve efficiency, reducing reliance on empty context windows. This shift...
#AIInference #OperationalEfficiency #DataEfficiency #AI #AIPulse
Read the full article →
www.synestesia.uk
August 24, 2026 at 6:44 PM
🤖 Agents retain memories to boost coding efficiency
Large language model coding agents are increasingly using pre loaded memories to improve efficiency, reducing reliance on empty context windows. This shift...
#AIInference #OperationalEfficiency #DataEfficiency #AI #AIPulse
Large language model coding agents are increasingly using pre loaded memories to improve efficiency, reducing reliance on empty context windows. This shift...
#AIInference #OperationalEfficiency #DataEfficiency #AI #AIPulse
🤖 AI-Driven Upgrade Cuts Communications Energy Consumption
Telecommunications companies are increasingly turning to AI driven upgrades to reduce energy consumption in their networks, with a focus on optimizing energy...
#AIInference #DataEfficiency #OperationalEfficiency #AI #AIPulse
Telecommunications companies are increasingly turning to AI driven upgrades to reduce energy consumption in their networks, with a focus on optimizing energy...
#AIInference #DataEfficiency #OperationalEfficiency #AI #AIPulse
Read the full article →
www.synestesia.uk
August 24, 2026 at 12:32 PM
🤖 AI-Driven Upgrade Cuts Communications Energy Consumption
Telecommunications companies are increasingly turning to AI driven upgrades to reduce energy consumption in their networks, with a focus on optimizing energy...
#AIInference #DataEfficiency #OperationalEfficiency #AI #AIPulse
Telecommunications companies are increasingly turning to AI driven upgrades to reduce energy consumption in their networks, with a focus on optimizing energy...
#AIInference #DataEfficiency #OperationalEfficiency #AI #AIPulse
🤖 NVIDIA Develops AdaptGrow for Large-Scale Financial Instrument Analysis
NVIDIA has developed and deployed a GPU accelerated matrix factorization algorithm called AdaptGrow for large scale financial instrument...
#DataEfficiency #RealTimePrediction #OperationalEfficiency #AI #AIPulse
NVIDIA has developed and deployed a GPU accelerated matrix factorization algorithm called AdaptGrow for large scale financial instrument...
#DataEfficiency #RealTimePrediction #OperationalEfficiency #AI #AIPulse
Read the full article →
www.synestesia.uk
August 21, 2026 at 6:37 PM
🤖 NVIDIA Develops AdaptGrow for Large-Scale Financial Instrument Analysis
NVIDIA has developed and deployed a GPU accelerated matrix factorization algorithm called AdaptGrow for large scale financial instrument...
#DataEfficiency #RealTimePrediction #OperationalEfficiency #AI #AIPulse
NVIDIA has developed and deployed a GPU accelerated matrix factorization algorithm called AdaptGrow for large scale financial instrument...
#DataEfficiency #RealTimePrediction #OperationalEfficiency #AI #AIPulse
🤖 NVIDIA FLARE streamlines federated training for vision-language models
NVIDIA FLARE has enabled efficient federated training for vision language models by reducing per client communication while maintaining model performance....
#DeepLearning #DataEfficiency #Performance #AI #AIPulse
NVIDIA FLARE has enabled efficient federated training for vision language models by reducing per client communication while maintaining model performance....
#DeepLearning #DataEfficiency #Performance #AI #AIPulse
Read the full article →
www.synestesia.uk
August 21, 2026 at 12:32 PM
🤖 NVIDIA FLARE streamlines federated training for vision-language models
NVIDIA FLARE has enabled efficient federated training for vision language models by reducing per client communication while maintaining model performance....
#DeepLearning #DataEfficiency #Performance #AI #AIPulse
NVIDIA FLARE has enabled efficient federated training for vision language models by reducing per client communication while maintaining model performance....
#DeepLearning #DataEfficiency #Performance #AI #AIPulse
🤖 Apple Research Improves Mandarin-English Speech Recognition
Apple ML Research has developed an iterative pseudo labeling approach that significantly improves Mandarin English code switching automatic speech recognition...
#DeepLearning #AIInference #DataEfficiency #AI #AIPulse
Apple ML Research has developed an iterative pseudo labeling approach that significantly improves Mandarin English code switching automatic speech recognition...
#DeepLearning #AIInference #DataEfficiency #AI #AIPulse
Read the full article →
www.synestesia.uk
August 21, 2026 at 1:36 PM
🤖 Apple Research Improves Mandarin-English Speech Recognition
Apple ML Research has developed an iterative pseudo labeling approach that significantly improves Mandarin English code switching automatic speech recognition...
#DeepLearning #AIInference #DataEfficiency #AI #AIPulse
Apple ML Research has developed an iterative pseudo labeling approach that significantly improves Mandarin English code switching automatic speech recognition...
#DeepLearning #AIInference #DataEfficiency #AI #AIPulse
🤖 Anthropic shifts data storage for enterprise clients
Anthropic is adjusting its data handling practices to store enterprise customer data in the customer's cloud instead of its own servers, while maintaining a 30 day...
#GenerativeAI #DataEfficiency #PredictiveModels #AI #AIPulse
Anthropic is adjusting its data handling practices to store enterprise customer data in the customer's cloud instead of its own servers, while maintaining a 30 day...
#GenerativeAI #DataEfficiency #PredictiveModels #AI #AIPulse
Read the full article →
www.synestesia.uk
August 21, 2026 at 10:38 AM
🤖 Anthropic shifts data storage for enterprise clients
Anthropic is adjusting its data handling practices to store enterprise customer data in the customer's cloud instead of its own servers, while maintaining a 30 day...
#GenerativeAI #DataEfficiency #PredictiveModels #AI #AIPulse
Anthropic is adjusting its data handling practices to store enterprise customer data in the customer's cloud instead of its own servers, while maintaining a 30 day...
#GenerativeAI #DataEfficiency #PredictiveModels #AI #AIPulse
🤖 Superwhisper releases 462 MB open-weights text normalizer S1-mini
Superwhisper has started releasing open weights models for text normalization, starting with S1 mini, a 462 MB model that turns raw ASR...
#AIInference #DataEfficiency #OperationalEfficiency #AI #AIPulse
Superwhisper has started releasing open weights models for text normalization, starting with S1 mini, a 462 MB model that turns raw ASR...
#AIInference #DataEfficiency #OperationalEfficiency #AI #AIPulse
Read the full article →
www.synestesia.uk
August 21, 2026 at 3:35 AM
🤖 Superwhisper releases 462 MB open-weights text normalizer S1-mini
Superwhisper has started releasing open weights models for text normalization, starting with S1 mini, a 462 MB model that turns raw ASR...
#AIInference #DataEfficiency #OperationalEfficiency #AI #AIPulse
Superwhisper has started releasing open weights models for text normalization, starting with S1 mini, a 462 MB model that turns raw ASR...
#AIInference #DataEfficiency #OperationalEfficiency #AI #AIPulse
🤖 Apple's LINK Method Boosts Cross-Lingual Knowledge Transfer
Apple ML Research's LINK method improves cross lingual knowledge transfer in multilingual language models by up to 2x speedup on downstream tasks with limited target...
#DataEfficiency #DeepLearning #Performance #AI #AIPulse
Apple ML Research's LINK method improves cross lingual knowledge transfer in multilingual language models by up to 2x speedup on downstream tasks with limited target...
#DataEfficiency #DeepLearning #Performance #AI #AIPulse
Read the full article →
www.synestesia.uk
August 20, 2026 at 6:33 PM
🤖 Apple's LINK Method Boosts Cross-Lingual Knowledge Transfer
Apple ML Research's LINK method improves cross lingual knowledge transfer in multilingual language models by up to 2x speedup on downstream tasks with limited target...
#DataEfficiency #DeepLearning #Performance #AI #AIPulse
Apple ML Research's LINK method improves cross lingual knowledge transfer in multilingual language models by up to 2x speedup on downstream tasks with limited target...
#DataEfficiency #DeepLearning #Performance #AI #AIPulse
🤖 New method optimizes model compression with joint quantization
Researchers have formulated a method called Entropy Constrained Adaptive Stochastic Quantization (ECASQ) that jointly selects adaptive quantization values to...
#AIInference #DataEfficiency #InferenceWorkloads #AI #AIPulse
Researchers have formulated a method called Entropy Constrained Adaptive Stochastic Quantization (ECASQ) that jointly selects adaptive quantization values to...
#AIInference #DataEfficiency #InferenceWorkloads #AI #AIPulse
Read the full article →
www.synestesia.uk
August 20, 2026 at 1:39 PM
🤖 New method optimizes model compression with joint quantization
Researchers have formulated a method called Entropy Constrained Adaptive Stochastic Quantization (ECASQ) that jointly selects adaptive quantization values to...
#AIInference #DataEfficiency #InferenceWorkloads #AI #AIPulse
Researchers have formulated a method called Entropy Constrained Adaptive Stochastic Quantization (ECASQ) that jointly selects adaptive quantization values to...
#AIInference #DataEfficiency #InferenceWorkloads #AI #AIPulse
🤖 New MASS Method Improves AI Data Selection Efficiency
Researchers are increasingly focusing on hierarchical data selection methods to improve model performance while reducing training costs. A recent arXiv paper...
#DataEfficiency #DeepLearning #Performance #AI #AIPulse
Researchers are increasingly focusing on hierarchical data selection methods to improve model performance while reducing training costs. A recent arXiv paper...
#DataEfficiency #DeepLearning #Performance #AI #AIPulse
Read the full article →
www.synestesia.uk
August 20, 2026 at 9:39 AM
🤖 New MASS Method Improves AI Data Selection Efficiency
Researchers are increasingly focusing on hierarchical data selection methods to improve model performance while reducing training costs. A recent arXiv paper...
#DataEfficiency #DeepLearning #Performance #AI #AIPulse
Researchers are increasingly focusing on hierarchical data selection methods to improve model performance while reducing training costs. A recent arXiv paper...
#DataEfficiency #DeepLearning #Performance #AI #AIPulse
🤖 New method boosts large language model training with targeted data selection
Researchers have developed Data DPO, a method that improves large language model training by selecting targeted data samples, reducing...
#DataEfficiency #DeepLearning #GenerativeAI #AI #AIPulse
Researchers have developed Data DPO, a method that improves large language model training by selecting targeted data samples, reducing...
#DataEfficiency #DeepLearning #GenerativeAI #AI #AIPulse
Read the full article →
www.synestesia.uk
August 19, 2026 at 7:32 PM
🤖 New method boosts large language model training with targeted data selection
Researchers have developed Data DPO, a method that improves large language model training by selecting targeted data samples, reducing...
#DataEfficiency #DeepLearning #GenerativeAI #AI #AIPulse
Researchers have developed Data DPO, a method that improves large language model training by selecting targeted data samples, reducing...
#DataEfficiency #DeepLearning #GenerativeAI #AI #AIPulse
🤖 Synthetic DNA Memory Device Uses 100x Less Power
Researchers have developed a low power memory device using synthetic DNA that could help make AI systems far more energy efficient. This breakthrough, from Penn State,...
#AIInference #ComputationalBiology #DataEfficiency #AI #AIPulse
Researchers have developed a low power memory device using synthetic DNA that could help make AI systems far more energy efficient. This breakthrough, from Penn State,...
#AIInference #ComputationalBiology #DataEfficiency #AI #AIPulse
Read the full article →
www.synestesia.uk
August 17, 2026 at 9:35 AM
🤖 Synthetic DNA Memory Device Uses 100x Less Power
Researchers have developed a low power memory device using synthetic DNA that could help make AI systems far more energy efficient. This breakthrough, from Penn State,...
#AIInference #ComputationalBiology #DataEfficiency #AI #AIPulse
Researchers have developed a low power memory device using synthetic DNA that could help make AI systems far more energy efficient. This breakthrough, from Penn State,...
#AIInference #ComputationalBiology #DataEfficiency #AI #AIPulse
🤖 Researchers Streamline Large-Scale Language Model Training with Efficient Data Pipelines
Researchers are increasingly focusing on efficient data access and curation to streamline large scale language model training. A recent...
#DataEfficiency #AIInference #DeepLearning #AI #AIPulse
Researchers are increasingly focusing on efficient data access and curation to streamline large scale language model training. A recent...
#DataEfficiency #AIInference #DeepLearning #AI #AIPulse
Read the full article →
www.synestesia.uk
August 16, 2026 at 10:33 PM
🤖 Researchers Streamline Large-Scale Language Model Training with Efficient Data Pipelines
Researchers are increasingly focusing on efficient data access and curation to streamline large scale language model training. A recent...
#DataEfficiency #AIInference #DeepLearning #AI #AIPulse
Researchers are increasingly focusing on efficient data access and curation to streamline large scale language model training. A recent...
#DataEfficiency #AIInference #DeepLearning #AI #AIPulse
🤖 World Labs uses virtual simulations for robot training
World Labs' simulation engine turns one real world robot task into thousands of simulated variations for training, cutting out expensive tests on actual hardware. This...
#Robotics #ImitationLearning #DataEfficiency #AI #AIPulse
World Labs' simulation engine turns one real world robot task into thousands of simulated variations for training, cutting out expensive tests on actual hardware. This...
#Robotics #ImitationLearning #DataEfficiency #AI #AIPulse
Read the full article →
www.synestesia.uk
August 16, 2026 at 12:37 PM
🤖 World Labs uses virtual simulations for robot training
World Labs' simulation engine turns one real world robot task into thousands of simulated variations for training, cutting out expensive tests on actual hardware. This...
#Robotics #ImitationLearning #DataEfficiency #AI #AIPulse
World Labs' simulation engine turns one real world robot task into thousands of simulated variations for training, cutting out expensive tests on actual hardware. This...
#Robotics #ImitationLearning #DataEfficiency #AI #AIPulse
🤖 Stealthy npm malware variant infects 444 packages
A new variant of the Shai Hulud npm worm, dubbed 'ChainDrop', has infected hundreds of packages in the npm supply chain using stealthy propagation techniques that evade standard...
#DataEfficiency #PredictiveModels #AI #AIPulse
A new variant of the Shai Hulud npm worm, dubbed 'ChainDrop', has infected hundreds of packages in the npm supply chain using stealthy propagation techniques that evade standard...
#DataEfficiency #PredictiveModels #AI #AIPulse
Read the full article →
www.synestesia.uk
August 15, 2026 at 12:31 PM
🤖 Stealthy npm malware variant infects 444 packages
A new variant of the Shai Hulud npm worm, dubbed 'ChainDrop', has infected hundreds of packages in the npm supply chain using stealthy propagation techniques that evade standard...
#DataEfficiency #PredictiveModels #AI #AIPulse
A new variant of the Shai Hulud npm worm, dubbed 'ChainDrop', has infected hundreds of packages in the npm supply chain using stealthy propagation techniques that evade standard...
#DataEfficiency #PredictiveModels #AI #AIPulse