The next generation of probabilistic machine learning for weather called GenCast is published in @Nature today . Amazing to see the collective progress in ML for weather as a field over the last 5 years.
MACHINE LEARNING
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Abacus AI Deep Learning Anomaly Detection for Data Analysis
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#AnomalyDetection by @AbacusAI uses leading-edge #DeepLearning models to spot anomalies in your data and to enable fast informed response: https://
abacus.ai/anomalydetecti
on
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#AI #MachineLearning #BigData #Analytics #DataScience #CDO #DataScientists #DataQuality -
IoT Grand Slam Panel on Anomaly Detection for Business Value
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Check out (in the post below) the insightful #IoT Grand Slam event panel (next week) on Anomaly Detection for Business Value in Different Domains. See full Agenda for @IoTslam here: https://
iotslam.com/iot-grand-slam
-live-2024-agenda/
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#IIoT @IoTchannel #IoTCommunity #AI #Industry40 #AIoT @IoTCommunity -
World Model Development Progressing in AI Systems
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The world model is taking shape… 🌐 https://t.co/kymkUspTM4
— Demis Hassabis (@demishassabis) 4 décembre 2024The world model is taking shape…
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Generative AI Applications in Consumer Marketing Strategy
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On Generative #AI and Consumer Marketing: https://
odbms.org/blog/2024/11/o
n-generative-ai-and-consumer-marketing-interview-with-ziv-fridfertig-and-madhukar-kumar/
… by @odbmsorg with @skaicommerce —————
#GenAI #GenerativeAI #Martech #MachineLearning #DataScience #CMO #CX #LLMs -
Efficient Video Understanding Model Training Reduces Computational Load
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Training video understanding models on longer contexts is computationally intensive. To address this, we present a novel approach that reduces the computational load while also improving the quality of the learned representations. More at: https://
goo.gle/4fW5aIc -
Artificial Intelligence Applications and Impact on Financial Industry
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Artificial Intelligence In The Financial Industry
#AI #AIio #BigData #ML #NLU #Futureofwork @briansolis @Xbond49 @VitalikButerin @DataScienceCtrl @Benioff @johnnosta @IrmaRaste @Tiffani_Bova http://
ow.ly/YIG330sInw2 -
Scaling Laws and AI Performance Walls: Analysis and Implications
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and analysis from @jeremyakahn on scaling laws / walls from yesterday in @FortuneMagazine https://t.co/it4B6KWII7 pic.twitter.com/whwa30g1tD
— Nathan Benaich (@nathanbenaich) 4 décembre 2024and analysis from @jeremyakahn on scaling laws / walls from yesterday in @FortuneMagazine
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Benefits of Soft Prompting: Efficiency, Speed, and Model Integrity
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4/ Benefits of Soft Prompting Efficient Usage: Reduces resource needs by focusing on small model parts. Faster Deployment: Quick task switching with minimal downtime. Model Integrity: Keeps core architecture intact while enhancing reliability. Less Human Intervention: