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UX6
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RESEARCH
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Open Source Speech Recognition Platform Democratizing Access
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Network Monetization and Customer Service Trends in Communications
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New #research ! Why #network monetization superior #custserv & streamlined #experiences have never mattered more ‘Trends in the #Communications Industry’ https://
sforce.co/3S8uVrZ #telco @partnerforce #5G #SalesForcePartner #data #CSPs #CX #AI #UX #Analytics #innovation #IoT -
Running Out of Data to Train AI Language Models
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We could run out of data to train #AI language programs https://
technologyreview.com/2022/11/24/106
3684/we-could-run-out-of-data-to-train-ai-language-programs/
… @techreview #MachineLearning #DataScience #IoT #serverless #womenwhocode #Robots #100DaysofCode @JAdP @CatherineAdenle @FmFrancoise @Shi4Tech #BigData #Analytics #DigitalTransformation #DeepLearning -
MIT Meta Enable Gradient Descent Optimizers Auto-Tune Hyperparameters
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NeurIPS 2022 | MIT & Meta Enable Gradient Descent Optimizers to Automatically Tune Their Own Hyperparameters https://
syncedreview.com/2022/11/25/neu
rips-2022-mit-meta-enable-gradient-descent-optimizers-to-automatically-tune-their-own-hyperparameters/
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Artificial Intelligence Advances with Generative AI Progress
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Artificial intelligence continues to impress with generative AI advancement https://
abc.net.au/news/2022-11-2
5/artificial-intelligence-continues-to-impress-with/101698214
… @abcnews #MachineLearning #DeepLearning #AI #Robots #BigData #Analytics #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #DataScience -
Stable Diffusion 2.0 Shows Quality Decline Compared to 1.5
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plot twist: stable diffusion 2.0 looks quite a bit worse on the few prompts i've tried so far compared to 1.5 (even not including celebrities/artists). Running theory seems to be this is due to an aggressive data sanitization campaign since the original release (?).
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Dialect-robust Evaluation of Generated Text
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Dialect-robust Evaluation of Generated Text Sun et al.: https://
arxiv.org/abs/2211.00922 #ArtificialIntelligence #DeepLearning #MachineLearning -
Complex Autoencoders Enable Advanced Object Auto-Segmentation in Images
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Fantastic work by @sindy_loewe on complex autoencoders that are able to auto-segment objects in images. https://t.co/RuohaS0WYO
— Max Welling (@wellingmax) 24 novembre 2022Fantastic work by @sindy_loewe on complex autoencoders that are able to auto-segment objects in images.
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Academic Rankings in AI Research: Beyond Simple Metrics
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I actually don't mind if rankings are there as an option. Like if you want to find out who's "best" by # of ICML papers + 0.5 * # of NeurIPS papers normalized by author, or whatever weird formula, go wild. But that shouldn't be the main point.
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CSRankings Gaps and ArXiv Collaboration Visualization Tools
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Yes! CSRankings falls short of this goal, since some areas are wholly unrepresented (a student wanted to know who works on learning theory… but COLT isn't there). @RoyRinberg showed me this nice tool he built to visualize arXiv collabs