Mixture-of-Experts models can now prune different experts for different tasks in multi-agent systems—cutting memory needs without sacrificing accuracy, and generalizing to unseen workflows.

Mixture-of-Experts models can now prune different experts for different tasks in multi-agent systems—cutting memory needs without sacrificing accuracy, and generalizing to unseen workflows.
Mehr KI-Jobs in der Schweiz, aber kaum Einstiegsstellen: KMU treiben das Wachstum, während Senior-Profile besonders gefragt sind.
#KünstlicheIntelligenz #KMU #Arbeitsmarkt #HSLU #MachineLearning #DataEngineering #Schweiz
At the Career Tables, she’ll share her experience moving from academic research into industry and turning scientific ideas into practical AI systems.
Only one panelist left! 🚀
A graph VAE using dual-primal GAT message passing infers ground-truth labels from noisy crowdsourced data without pseudo-labels or synthetic data. It achieves state-of-the-art results on crowdsourcing benchmarks,…
#AI #MachineLearning #DataLabeling #Research
https://arxiv.org/abs/2608.11473
Can AI replace engine testing? ML can cut test-cell time, but it fails outside its training range, and certification still needs a real dyno. Where AI helps and where it doesn't. #EngineTesting #MachineLearning #DigitalTwin
New arXiv paper introduces TRACK, a telemetry-based framework that profiles sim racing drivers via unsupervised clustering in a 4D behavioral space of speed, braking, strategy, and consistency. Built and tested on the…
#AI #DataScience #SimRacing #MachineLearning
https://arxiv.org/abs/2610.10061
Ben Affleck erinnert daran: Machine Learning steckt seit Jahren in der VFX-Pipeline. Der Sprung ist nicht die Idee, sondern die Skalierung. #MachineLearning
Mehr von mir: linkedin.com/in/maurice-putinas
AI Mood Board Generator: Find a Visual Direction Fast
#AIAssistant #AIResearch #MachineLearning
Why is Mistral's new flagship called Le Chonk? It's 1.05T params (49B active), trained from scratch on 3,800 Grace Blackwell GPUs in Europe. It scores 82% on CyberGym-E2E, where closed models land near zero, partly by refusing. Preview API now, weights due Oct 31. #MachineLearning #OpenWeights
A model is cheap to run and free to be wrong. Verification inverts the trade: cheap to describe, expensive to be — it's where error costs someone. We automated the half that never carried cost. The Conjecture Engine: #machinelearning #ai
https://seldondance.substack.com/p/the-conjecture-engine
A prompt is a sample, not a measurement: one throw of the dice scores the dice, not the model. The weights are a distribution - direct probability reads it; a prompt guesses it. The Parameter Paradox: #machinelearning #ai
https://seldondance.substack.com/p/the-parameter-paradox-why-bigger
A gauge holding two grades will still print eighteen ranks. The bearing standard refuses grades it cannot hold: the even numbers are empty on purpose. Perfectly still is not a grade; it is a seizure. The Shaft at Rest: #ai #machinelearning
https://seldondance.substack.com/p/the-shaft-at-rest
If you are attending, find Carmen at poster 276 on 14 and 15 October.
#ELRIGDD26 #ELRIGDD26 #DrugDiscovery #TripleNegativeBreastCancer #NaturalProducts #3DCellModels #MachineLearning
Google’s Official Detector: A Website for Identifying AI-Generated Content Is Now Available to Users #AI #ArtificialIntelligence #AIDetection #MachineLearning #TechNews
Exciting talk by William McCarthy at #CovModDrugDiscov.
He talked about their amazing capacities at the Francis Crick Institute for #chemoproteomic profiling of cysteines. Great insights into the use of #MachineLearning to predict more selective compounds. (1/2)
Retail Analytics Market Growth and Trends: Size, Revenue, and Opportunities
www.coherentcmi.com/market-insig...
#PredictiveAnalytics #CustomerAnalytics #RetailIndustry #EcommerceAnalytics #ArtificialIntelligence #MachineLearning #DigitalTransformation #MarketResearch #GlobalMarket
Accuracy ≠ personalization. New audit asks if forecasts truly know YOU or just your disease. #AI #HealthTech #MachineLearning #Radiology
https://freegardner.com/synapse/when-forecasts-know-you-or-just-your-disease.html
LLM agents struggle with GPU kernel efficiency—but expert guidance helps. New benchmark shows how much: correctness jumps to 98.5% and speedups nearly hit 2.5x when agents get the right hints.