🚀Our latest work on AI embeddings and phenotyping is out! #PhenoMe is a new interactive tool bridging image representations derived from #FoundationModels with explainable features and biological readouts🕸️
www.biorxiv.org/content/10.6... Congrats to @aaitorg.bsky.social on this very exciting work!🥳
www.biorxiv.org/content/10.6... Congrats to @aaitorg.bsky.social on this very exciting work!🥳
November 4, 2026 at 4:49 PM
🚀Our latest work on AI embeddings and phenotyping is out! #PhenoMe is a new interactive tool bridging image representations derived from #FoundationModels with explainable features and biological readouts🕸️
www.biorxiv.org/content/10.6... Congrats to @aaitorg.bsky.social on this very exciting work!🥳
www.biorxiv.org/content/10.6... Congrats to @aaitorg.bsky.social on this very exciting work!🥳
New study in Nature Medicine shows AI models trained on routine clinical neuroimaging data outperform traditional t…
#ClinicalAIvalidation #Diagnosticimaging #Foundationmodels #Healthsystemdata #Medicalartificialintelligence
#ClinicalAIvalidation #Diagnosticimaging #Foundationmodels #Healthsyst…
#ClinicalAIvalidation #Diagnosticimaging #Foundationmodels #Healthsystemdata #Medicalartificialintelligence
#ClinicalAIvalidation #Diagnosticimaging #Foundationmodels #Healthsyst…
Neuroimaging AI Trained on Real Clinical Data Improves Diagnosis
New study in Nature Medicine shows AI models trained on routine clinical neuroimaging data outperform traditional t…
#ClinicalAIvalidation #Diagnosticimaging #Foundationmodels #Healthsystemdata #Medicalartificialintelligence
news.gmj.ge
November 2, 2026 at 9:26 PM
New study in Nature Medicine shows AI models trained on routine clinical neuroimaging data outperform traditional t…
#ClinicalAIvalidation #Diagnosticimaging #Foundationmodels #Healthsystemdata #Medicalartificialintelligence
#ClinicalAIvalidation #Diagnosticimaging #Foundationmodels #Healthsyst…
#ClinicalAIvalidation #Diagnosticimaging #Foundationmodels #Healthsystemdata #Medicalartificialintelligence
#ClinicalAIvalidation #Diagnosticimaging #Foundationmodels #Healthsyst…
81 AV startups in 2026. Foundation models. Funding in robotaxis & construction autonomy. #AI #AutonomousVehicles #Robotaxi #BedrockRobotics #FoundationModels #MobilityBoom https://thedailytechfeed.com/2026-sees-av-startup-boom-fueled-by-ai-beyond-2016s-frenzy/
November 1, 2026 at 5:29 PM
81 AV startups in 2026. Foundation models. Funding in robotaxis & construction autonomy. #AI #AutonomousVehicles #Robotaxi #BedrockRobotics #FoundationModels #MobilityBoom https://thedailytechfeed.com/2026-sees-av-startup-boom-fueled-by-ai-beyond-2016s-frenzy/
Raviolo came close to the finalists at RevenueCat’s Shipaton this year, without winning 😭 A separate piece on that comes later.
Raviolo: raviolo.app
#FoundationModels #AppleIntelligence
Raviolo: raviolo.app
#FoundationModels #AppleIntelligence
Raviolo
raviolo.app
October 28, 2026 at 7:46 AM
Raviolo came close to the finalists at RevenueCat’s Shipaton this year, without winning 😭 A separate piece on that comes later.
Raviolo: raviolo.app
#FoundationModels #AppleIntelligence
Raviolo: raviolo.app
#FoundationModels #AppleIntelligence
Next up: Moirai inside agents that reason over time-series data, explain root causes, and recommend actions.
📄 Papers: arxiv.org/abs/2402.02592 (Moirai) and arxiv.org/abs/2511.11698 (Moirai 2.0)
#TimeSeries #FoundationModels #Forecasting #AIResearch
📄 Papers: arxiv.org/abs/2402.02592 (Moirai) and arxiv.org/abs/2511.11698 (Moirai 2.0)
#TimeSeries #FoundationModels #Forecasting #AIResearch
October 28, 2026 at 12:20 PM
Next up: Moirai inside agents that reason over time-series data, explain root causes, and recommend actions.
📄 Papers: arxiv.org/abs/2402.02592 (Moirai) and arxiv.org/abs/2511.11698 (Moirai 2.0)
#TimeSeries #FoundationModels #Forecasting #AIResearch
📄 Papers: arxiv.org/abs/2402.02592 (Moirai) and arxiv.org/abs/2511.11698 (Moirai 2.0)
#TimeSeries #FoundationModels #Forecasting #AIResearch
A foundation model gives AI general capability, but your business context turns that capability into something useful in daily operations.
So what actually makes a general-purpose model useful inside your company?
Usually, it is the context around it.
#FoundationModels #EnterpriseAI
So what actually makes a general-purpose model useful inside your company?
Usually, it is the context around it.
#FoundationModels #EnterpriseAI
October 24, 2026 at 1:30 PM
A foundation model gives AI general capability, but your business context turns that capability into something useful in daily operations.
So what actually makes a general-purpose model useful inside your company?
Usually, it is the context around it.
#FoundationModels #EnterpriseAI
So what actually makes a general-purpose model useful inside your company?
Usually, it is the context around it.
#FoundationModels #EnterpriseAI
I know Microsoft bankrolled oai, but they don’t have an independent one, right? Would anyone even know if apple has one? Oh meta does, right? What about amazon? #genai #foundationModels cc 2/2 @markriedl.bsky.social @togelius.bsky.social
October 23, 2026 at 6:13 AM
I know Microsoft bankrolled oai, but they don’t have an independent one, right? Would anyone even know if apple has one? Oh meta does, right? What about amazon? #genai #foundationModels cc 2/2 @markriedl.bsky.social @togelius.bsky.social
A new arXiv paper proposes a structured-data-first research agenda for modular, domain-specialized financial foundation models connected by a representation fabric for reuse and composition. The authors argue…
#AI #FinanceAI #FoundationModels #MachineLearning
https://arxiv.org/abs/2610.26516
#AI #FinanceAI #FoundationModels #MachineLearning
https://arxiv.org/abs/2610.26516
October 20, 2026 at 10:01 PM
A new arXiv paper proposes a structured-data-first research agenda for modular, domain-specialized financial foundation models connected by a representation fabric for reuse and composition. The authors argue…
#AI #FinanceAI #FoundationModels #MachineLearning
https://arxiv.org/abs/2610.26516
#AI #FinanceAI #FoundationModels #MachineLearning
https://arxiv.org/abs/2610.26516
WhatIf-Bench is a new semi-synthetic benchmark that uses mechanistic simulators of data centers, power grids, road traffic, and water networks to evaluate how reliably time series foundation models handle…
#TimeSeries #FoundationModels #AIBenchmark #Forecasting
https://arxiv.org/abs/2610.26582
#TimeSeries #FoundationModels #AIBenchmark #Forecasting
https://arxiv.org/abs/2610.26582
October 20, 2026 at 12:01 PM
WhatIf-Bench is a new semi-synthetic benchmark that uses mechanistic simulators of data centers, power grids, road traffic, and water networks to evaluate how reliably time series foundation models handle…
#TimeSeries #FoundationModels #AIBenchmark #Forecasting
https://arxiv.org/abs/2610.26582
#TimeSeries #FoundationModels #AIBenchmark #Forecasting
https://arxiv.org/abs/2610.26582
LLM local sur iOS 27 : ce qu'Apple ne dit pas dans la doc blog.octo.com/llm-local-su...
LLM local sur iOS 27 : ce qu'Apple ne dit pas dans la doc - OCTO Talks !
iOS 27 fait tourner un LLM local sur iPhone : Core AI charge un modèle .aimodel derrière les mêmes API que FoundationModels, en une dizaine de lignes. Mesures sur iPhone 16, iOS 27.0 : 3 des 10 famil...
blog.octo.com
October 20, 2026 at 7:06 PM
LLM local sur iOS 27 : ce qu'Apple ne dit pas dans la doc blog.octo.com/llm-local-su...
LLM local sur iOS 27 : ce qu'Apple ne dit pas dans la doc
tech_blogs_octo_technology | Author: Guillaume Sabatie
#AI
tech_blogs_octo_technology | Author: Guillaume Sabatie
#AI
LLM local sur iOS 27 : ce qu'Apple ne dit pas dans la doc
iOS 27 fait tourner un LLM local sur iPhone : Core AI charge un modèle .aimodel derrière les mêmes API que FoundationModels, en une dizaine de lignes. Mesures sur iPhone 16, iOS 27.0 : 3 des 10 familles du catalogue exportables, 874 Mo pour Qwen2.5-1.5B, 2 min au premier lancement, 14 à 25 s par
blog.octo.com
October 20, 2026 at 9:06 AM
LLM local sur iOS 27 : ce qu'Apple ne dit pas dans la doc
tech_blogs_octo_technology | Author: Guillaume Sabatie
#AI
tech_blogs_octo_technology | Author: Guillaume Sabatie
#AI
CERN just teamed up with Mistral to build the first foundation model for particle physics.
Trained on billions of LHC collisions, could this reshape scientific AI? Read the full breakdown: lnkd.in/p/gjr8fVmQ
#AI #TechNews #Science
Trained on billions of LHC collisions, could this reshape scientific AI? Read the full breakdown: lnkd.in/p/gjr8fVmQ
#AI #TechNews #Science
#ai #cern #mistralai #physics #foundationmodels #scienceandtechnology #technews | Sandeep Raiza
𝗖𝗘𝗥𝗡 𝗪𝗮𝗻𝘁𝘀 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝗙𝗶𝗿𝘀𝘁 𝗔𝗜 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹 𝗳𝗼𝗿 𝗣𝗮𝗿𝘁𝗶𝗰𝗹𝗲 𝗣𝗵𝘆𝘀𝗶𝗰𝘀, 𝗮𝗻𝗱 𝗜𝘁 𝗝𝘂𝘀𝘁 𝗣𝗶𝗰𝗸𝗲𝗱 𝗠𝗶𝘀𝘁𝗿𝗮𝗹 𝘁𝗼 𝗗𝗼 𝗜𝘁
The lab that smashes protons together at nearly the speed of light has a data problem. Its...
lnkd.in
October 19, 2026 at 4:32 AM
CERN just teamed up with Mistral to build the first foundation model for particle physics.
Trained on billions of LHC collisions, could this reshape scientific AI? Read the full breakdown: lnkd.in/p/gjr8fVmQ
#AI #TechNews #Science
Trained on billions of LHC collisions, could this reshape scientific AI? Read the full breakdown: lnkd.in/p/gjr8fVmQ
#AI #TechNews #Science
October 16, 2026 at 1:30 PM
Researchers introduced Elastic V-JEPA, a single vision foundation model trained once and deployable across the edge-cloud continuum, with reconfigurable width and support for partitionable cross-device inference via…
#EVJEPA #VJEPA #EdgeAI #FoundationModels
https://arxiv.org/abs/2610.14324
#EVJEPA #VJEPA #EdgeAI #FoundationModels
https://arxiv.org/abs/2610.14324
October 17, 2026 at 2:01 AM
Researchers introduced Elastic V-JEPA, a single vision foundation model trained once and deployable across the edge-cloud continuum, with reconfigurable width and support for partitionable cross-device inference via…
#EVJEPA #VJEPA #EdgeAI #FoundationModels
https://arxiv.org/abs/2610.14324
#EVJEPA #VJEPA #EdgeAI #FoundationModels
https://arxiv.org/abs/2610.14324
PathFM is a new trajectory-based forecasting model using flow matching to generate complete future paths and distill to one or two steps, enabling multi-path generation at roughly the cost of a single quantile model…
#TimeSeries #FoundationModels #FlowMatching
https://arxiv.org/abs/2610.22358
#TimeSeries #FoundationModels #FlowMatching
https://arxiv.org/abs/2610.22358
October 16, 2026 at 8:02 AM
PathFM is a new trajectory-based forecasting model using flow matching to generate complete future paths and distill to one or two steps, enabling multi-path generation at roughly the cost of a single quantile model…
#TimeSeries #FoundationModels #FlowMatching
https://arxiv.org/abs/2610.22358
#TimeSeries #FoundationModels #FlowMatching
https://arxiv.org/abs/2610.22358
A new arXiv paper proposes a plug-and-play diffusion generator that maps frozen weather model outputs to observation-aligned daily precipitation, aiming to correct reanalysis biases without…
#WeatherAI #DiffusionModels #PrecipitationForecast #FoundationModels
https://arxiv.org/abs/2610.12976
#WeatherAI #DiffusionModels #PrecipitationForecast #FoundationModels
https://arxiv.org/abs/2610.12976
October 12, 2026 at 8:01 PM
A new arXiv paper proposes a plug-and-play diffusion generator that maps frozen weather model outputs to observation-aligned daily precipitation, aiming to correct reanalysis biases without…
#WeatherAI #DiffusionModels #PrecipitationForecast #FoundationModels
https://arxiv.org/abs/2610.12976
#WeatherAI #DiffusionModels #PrecipitationForecast #FoundationModels
https://arxiv.org/abs/2610.12976
🚀 Exclusive Acquisition Opportunity: 500,000+ Asset Rights-Cleared Archive + 5-Year Content Pipeline
#MachineLearning #ArtificialIntelligence #ComputerVision #DataLicensing #AIDatasets #FoundationModels #GenerativeAI #DeepLearning #DataProcurement #VentureCapital #AITrainingData
#MachineLearning #ArtificialIntelligence #ComputerVision #DataLicensing #AIDatasets #FoundationModels #GenerativeAI #DeepLearning #DataProcurement #VentureCapital #AITrainingData
October 10, 2026 at 9:06 AM
🚀 Exclusive Acquisition Opportunity: 500,000+ Asset Rights-Cleared Archive + 5-Year Content Pipeline
#MachineLearning #ArtificialIntelligence #ComputerVision #DataLicensing #AIDatasets #FoundationModels #GenerativeAI #DeepLearning #DataProcurement #VentureCapital #AITrainingData
#MachineLearning #ArtificialIntelligence #ComputerVision #DataLicensing #AIDatasets #FoundationModels #GenerativeAI #DeepLearning #DataProcurement #VentureCapital #AITrainingData
Industrial AI is shifting toward foundation models and physical and agentic systems that automate complex tasks while interacting directly…
#IndustrialAI #FoundationModels #AISafety #AgenticAI
https://www.technologyreview.com/2026/10/08/1144020/building-a-safer-path-to-autonomous-industrial-ai/
#IndustrialAI #FoundationModels #AISafety #AgenticAI
https://www.technologyreview.com/2026/10/08/1144020/building-a-safer-path-to-autonomous-industrial-ai/
October 11, 2026 at 8:00 AM
Industrial AI is shifting toward foundation models and physical and agentic systems that automate complex tasks while interacting directly…
#IndustrialAI #FoundationModels #AISafety #AgenticAI
https://www.technologyreview.com/2026/10/08/1144020/building-a-safer-path-to-autonomous-industrial-ai/
#IndustrialAI #FoundationModels #AISafety #AgenticAI
https://www.technologyreview.com/2026/10/08/1144020/building-a-safer-path-to-autonomous-industrial-ai/
🚀 Exclusive Acquisition Opportunity: 500,000+ Asset Rights-Cleared Archive + 5-Year Content Pipeline
#MachineLearning #ArtificialIntelligence #ComputerVision #DataLicensing #AIDatasets #FoundationModels #GenerativeAI #DeepLearning #AITrainingData #TechMNA #IPAcquisition #MultimodalAI
#MachineLearning #ArtificialIntelligence #ComputerVision #DataLicensing #AIDatasets #FoundationModels #GenerativeAI #DeepLearning #AITrainingData #TechMNA #IPAcquisition #MultimodalAI
October 10, 2026 at 9:05 AM
🚀 Exclusive Acquisition Opportunity: 500,000+ Asset Rights-Cleared Archive + 5-Year Content Pipeline
#MachineLearning #ArtificialIntelligence #ComputerVision #DataLicensing #AIDatasets #FoundationModels #GenerativeAI #DeepLearning #AITrainingData #TechMNA #IPAcquisition #MultimodalAI
#MachineLearning #ArtificialIntelligence #ComputerVision #DataLicensing #AIDatasets #FoundationModels #GenerativeAI #DeepLearning #AITrainingData #TechMNA #IPAcquisition #MultimodalAI
SPERA is an EEG foundation model using a spherical spatial prior and factorized attention to handle varied electrode setups. The arXiv paper targets general-purpose brain-signal modeling beyond reconstruction-based approaches.
#AI #EEG #FoundationModels #BCI
https://arxiv.org/abs/2610.10571
#AI #EEG #FoundationModels #BCI
https://arxiv.org/abs/2610.10571
October 9, 2026 at 10:01 PM
SPERA is an EEG foundation model using a spherical spatial prior and factorized attention to handle varied electrode setups. The arXiv paper targets general-purpose brain-signal modeling beyond reconstruction-based approaches.
#AI #EEG #FoundationModels #BCI
https://arxiv.org/abs/2610.10571
#AI #EEG #FoundationModels #BCI
https://arxiv.org/abs/2610.10571
iAm.md is a new Markdown-based framework that lets robots using foundation models self-assess whether they can actually perform a requested action, helping avoid "grounding failures" where plans don't match real-world capabilities.
#Robotics #AI #FoundationModels
https://arxiv.org/abs/2610.10962
#Robotics #AI #FoundationModels
https://arxiv.org/abs/2610.10962
October 9, 2026 at 8:01 AM
iAm.md is a new Markdown-based framework that lets robots using foundation models self-assess whether they can actually perform a requested action, helping avoid "grounding failures" where plans don't match real-world capabilities.
#Robotics #AI #FoundationModels
https://arxiv.org/abs/2610.10962
#Robotics #AI #FoundationModels
https://arxiv.org/abs/2610.10962
VIA frames robot manipulation as an agentic task, letting an off-the-shelf foundation model control a manipulator through a visual interface with mouse-like probes and virtual end-effector commands. This shifts robotics…
#AI #Robotics #DevTools #FoundationModels
https://arxiv.org/abs/2607.11119
#AI #Robotics #DevTools #FoundationModels
https://arxiv.org/abs/2607.11119
October 8, 2026 at 2:01 PM
VIA frames robot manipulation as an agentic task, letting an off-the-shelf foundation model control a manipulator through a visual interface with mouse-like probes and virtual end-effector commands. This shifts robotics…
#AI #Robotics #DevTools #FoundationModels
https://arxiv.org/abs/2607.11119
#AI #Robotics #DevTools #FoundationModels
https://arxiv.org/abs/2607.11119
𝗦𝗟𝗔 points to a new direction for sensor intelligence: moving beyond simply perceiving signals toward explaining and connecting them to actions in the real world. 🚀
👇
🌐: yang-ai-lab.github.io/OpenSLA
#AI #SensorAI #HealthAI #LLM #MultimodalAI #FoundationModels #TimeSeries
👇
🌐: yang-ai-lab.github.io/OpenSLA
#AI #SensorAI #HealthAI #LLM #MultimodalAI #FoundationModels #TimeSeries
OpenSLA — Sensor-Language-Action Models
From perceiving the world to deciding what to do next: one model that connects sensors, language, and actions.
yang-ai-lab.github.io
October 8, 2026 at 6:35 AM
𝗦𝗟𝗔 points to a new direction for sensor intelligence: moving beyond simply perceiving signals toward explaining and connecting them to actions in the real world. 🚀
👇
🌐: yang-ai-lab.github.io/OpenSLA
#AI #SensorAI #HealthAI #LLM #MultimodalAI #FoundationModels #TimeSeries
👇
🌐: yang-ai-lab.github.io/OpenSLA
#AI #SensorAI #HealthAI #LLM #MultimodalAI #FoundationModels #TimeSeries
New arXiv work introduces ANCRe, a lightweight framework that learns residual connection layouts to address underutilized depth in foundation models, reporting under 1% overhead while improving convergence…
#ANCRe #DeepLearning #FoundationModels #NeuralNetworks
https://arxiv.org/abs/2602.09009
#ANCRe #DeepLearning #FoundationModels #NeuralNetworks
https://arxiv.org/abs/2602.09009
October 6, 2026 at 2:00 AM
New arXiv work introduces ANCRe, a lightweight framework that learns residual connection layouts to address underutilized depth in foundation models, reporting under 1% overhead while improving convergence…
#ANCRe #DeepLearning #FoundationModels #NeuralNetworks
https://arxiv.org/abs/2602.09009
#ANCRe #DeepLearning #FoundationModels #NeuralNetworks
https://arxiv.org/abs/2602.09009