AI and the Future of Software Development: A Sneak Peek
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The document discusses developers including both in-house and outsourced developers. It also mentions dev shops and low/no code platforms. The main topics covered are developers, dev shops, and low-code platforms.
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You will be able to find Sanyam in our community slack (https://www.h2o.ai/slack-community/), please feel free to start a discussion with him, if you send a emoji greeting, you’ll find the answers.
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Description:
Are AI and AutoML overhyped or the answer to our problems?
Beyond the hyperbole, what are AutoML and AI?
How are they helpful, and when are they not?
Why are they more relevant and valuable than ever?
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https://alandix.com/academic/papers/synergy2024-epistemic/
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This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
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Recording from the presentation can be viewed here: https://youtu.be/02Gb062U_M4
The manufacturing industry is adopting artificial intelligence (AI) at a fast rate. This century-old industry is complex but has seen constant transformation across all of its facets.
Led by big data analytics, miniaturization of sensors enabling the Internet of Things (IoT), and, now, AI machine learning (ML), manufacturers everywhere have embarked on an AI transformation that is opening up potential new revenue streams as well taking costs and time out of existing processes.
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ICLR 2020 Recap
This presentation was made on June 9th, 2020.
Video recording of the session can be viewed here: https://youtu.be/OCB9sTUnUug
In this meetup with Sanyam Bhutani, Machine Learning Engineer at H2O.ai, he gives a recap of the eight annual ICLR (International Conference on Learning Representations) 2020 - a niche deep learning conference whose focus is to study how to learn representations of data, which is basically what deep learning does.
Sanyam goes through a few of his favorite selected papers from this year’s ICLR, note this session may not be able to capture the richness of all papers or allow a detailed discussion.
You will be able to find Sanyam in our community slack (https://www.h2o.ai/slack-community/), please feel free to start a discussion with him, if you send a emoji greeting, you’ll find the answers.
Following are the papers we will look into:
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Your classifier is secretly an energy based model and you should treat it like one
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Reformer: The Efficient Transformer
Generative Models for Effective ML on Private, Decentralized Datasets
Once for All: Train One Network and Specialize it for Efficient Deployment
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning
Real or Not Real, that is the Question
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This presentation was made on June 3rd, 2020.
A recording of the presentation can be viewed at: https://youtu.be/Y2sLUzd-y9A
AI and AutoML: Debunking Myths
This presentation was made on May 13, 2020 and the video recording of it can be viewed here: https://youtu.be/QAgYASr1SHA
Description:
Are AI and AutoML overhyped or the answer to our problems?
Beyond the hyperbole, what are AutoML and AI?
How are they helpful, and when are they not?
Why are they more relevant and valuable than ever?
Our world is changing rapidly, and that implies many organizations will need to adapt quickly. AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business. AI empowers data teams to scale and deliver trusted, production-ready models in an easier, faster, more cost-effective way than traditional machine learning approaches.
AI and AutoML are not magic but it can be transformative, find out how at this virtual meetup. Get practical tips and see AutoML in action with a real-world example. We’ll demonstrate how AutoML can augment your Data Scientists, supercharging your team and giving your organization the AI edge in record time.
Speakers' Bio:
James Orton: He has over a decade of experience in analytics and data science across a number of industries. He has managed data science teams and large scale projects, before more recently launching his own startup. His vision for AI and that of H2O.ai were so closely aligned, it was a fortuitous opportunity for James to join H2O.ai in the Australia and New Zealand region.
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