NYU Center for Data Science

DECEMBER 14, 2023

Many of them don’t consider themselves technical,” McFee explains, many of whom come from music majors rather than engineering or STEM fields. “I I find myself explaining concepts like discrete Fourier transforms to students who haven’t done math since tenth grade.” A lot of people pick this stuff up as a third language,” he explains.

Data Science 97

Data Science Explainability Big Data Data Scientist 97

NYU Center for Data Science

JUNE 16, 2023

Motivated by applications in healthcare and criminal justice, Umang studies how to create algorithmic decision-making systems endowed with the ability to explain their behavior and adapt to a stakeholder’s expertise to improve human-machine team performance. By Meryl Phair

Machine Learning 108

Machine Learning Explainability Artificial Intelligence Artificial Intelligence 108

Aiiot Talk

MARCH 31, 2024

Learn Empathy According to a Gallup report, the number of engaged workers has declined from 36% to 32% between 2020 and 2022. Guide the interaction, explaining how they need to listen to one another and step into the other person’s shoes. Whoever holds the stick has the floor without interruptions.

Robotics 130

Robotics Artificial Intelligence Artificial Intelligence Explainability 130

IBM Journey to AI blog

OCTOBER 9, 2023

IBM has long argued that AI systems need to be transparent and explainable. In terms of regulating this emerging technology, IBM is a strong advocate of precision regulation that determines how the technology is used rather than regulating the technology itself.

Automation 135

Automation AI AI Natural Language Processing 135

Flipboard

JANUARY 25, 2023

In 2020, the two spent two weeks brainstorming what to build next. ” Supernormal extracts details like customer objectives and goals, Treseler explains, and after a meeting attempts to automate action items like follow-up emails, scheduling and making introductions.

OpenAI 168

OpenAI Generative AI Explainability Automation 168

ODSC - Open Data Science

APRIL 3, 2023

Are you curious about explainability methods like saliency maps but feel lost about where to begin? Plus, our built-in QA ecosystem , including explainability, adversarial attacks, graph visualizations, and behavioral tests, allows you to analyze the models from multiple perspectives. Don’t worry, you’re not alone! Euro) in 2021.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

NVIDIA

NOVEMBER 15, 2023

The Story of the Name Patrick Lewis, lead author of the 2020 paper that coined the term , apologized for the unflattering acronym that now describes a growing family of methods across hundreds of papers and dozens of commercial services he believes represent the future of generative AI.

LLM 136

LLM Generative AI AI Modeling Neural Network 136

Flipboard

MARCH 7, 2023

At Savannah-Chatham County Public Schools (SCCPSS) in Georgia, a three-school pilot in January 2020 grew into a district-wide online and offline reading program for students across its 34 elementary schools, according to Andrea Burkiett, director of curriculum and instruction for the district. What Difference Does Voice Tech Make?

Explainability 147

Explainability Automation Artificial Intelligence Artificial Intelligence 147

Ehud Reiter

MAY 2, 2023

Unresponsive Authors As explained in the paper, we identified 116 ACL and TACL papers which we could potentially try to reproduce. I have not yet gotten a response from ACL Anthology, but TACL told me that in 2013-2022, they had *one* correction (erratum) about experimental results in a published paper ( Warstadt et al 2020).

NLP 109

NLP Explainability 109

DataRobot Blog

MAY 12, 2022

In 2020, the Department of Homeland Security (DHS) published its AI Strategy to help guide AI adoption as a department while also managing and mitigating risks. DataRobot believes trusted, explainable AI can help generate better outcomes than either humans or machines alone. Our team is here to help along the way. Contact Us.

AI Strategy 52

AI Strategy Explainable AI Data Scientist AI 52

ODSC - Open Data Science

FEBRUARY 25, 2023

In an interview with BBC News , Guetta explained that he believes AI will make it easier for artists to create music, especially for those who do not have traditional music training. Saying in part, “ I’m sure the future of music is in AI. There’s no doubt. But as a tool.”

Data Science 66

Data Science AI AI Artificial Intelligence 66

ODSC - Open Data Science

MAY 30, 2023

For example, rising interest rates and falling equities already in 2013 and again in 2020 and 2022 led to drawdowns of risk parity schemes. However, changing correlations can be a challenge for this type of portfolio allocation technique. In 2023-Q1, we even saw failing banks like SVB simply because of investments in “safe” treasury bonds.

ML 52

ML Data Science Machine Learning Explainable AI 52

ODSC - Open Data Science

OCTOBER 24, 2023

Indeed, the whole technique epitomizes explainable AI. Figure 1: Synthetic data (left) versus real (right), Telecom dataset The main hyperparameter vector specifies the number of quantile intervals to use for each feature (one per feature). It is easy to fine-tune, allowing for auto-tuning.

Categorization 98

Categorization Data Science Neural Network Algorithm 98

Dlabs.ai

MARCH 17, 2021

He also runs his own YouTube channel , where he explains basic concepts of AI, shows how to use them, and talks through technological trends for the coming years. She was also named LinkedIn’s ‘Top Voice for Technology’ in 2019 and 2020, while Forbes and AI Summit called her 2019’s “AI Innovator of the Year.”

Deep Learning 92

Deep Learning Artificial Intelligence Artificial Intelligence Neural Network 92

AI Impacts

FEBRUARY 1, 2023

But this model, on its own, is inadequate for AI, for reasons I will explain in the next section. 5 I will not explain this problem in detail, but I will list some aspects of it here, along with real-world examples, and you can read more about it elsewhere. Norton & Company; 2020. link] Published December 15, 2020.

AI 130

AI AI OpenAI Large Language Models 130

NVIDIA

NOVEMBER 20, 2023

Since their introduction in 2020, DPUs have gained popularity in the realm of cloud computing, primarily due to their capacity to offload, accelerate and isolate data center infrastructure processing. Although DPUs and SuperNICs share a range of features and capabilities, SuperNICs are uniquely optimized for accelerating networks for AI.

Large Language Models 115

Large Language Models Generative AI Algorithm AI 115

ODSC - Open Data Science

APRIL 4, 2023

More than half of organizations in 2020 took steps to mitigate AI concerns, a three-point increase over 2019. Mitigation steps also rose in AI regulatory compliance, explainability, labor displacement, and equity and fairness. That will make it easier to use and audit for regulatory and security purposes.

Black Box AI 98

Black Box AI AI AI Data Science 98

Artificial Corner

APRIL 2, 2024

This can be explained by Moore's Law , which predicts that the number of transistors on microprocessors used in our devices would double roughly every two years, enhancing their capabilities and efficiency. We saw this progression with the Q8000 in 2019, the A100 in 2020, the Hopper H100 in 2022, and now with Blackwell.

Robotics 52

Robotics OpenAI AI AI 52

IBM Journey to AI blog

JULY 19, 2023

IBM Consulting has been driving a responsible and ethical approach to AI for more than five years now, mainly focused on these five basic principles: Explainability : How an AI model arrives at a decision should be able to be understood, with human-in-the-loop systems adding more credibility and help mitigating compliance risks.

Generative AI 161

Generative AI Large Language Models AI AI 161

Unite.AI

NOVEMBER 8, 2023

BERT T5 (Text-to-Text Transfer Transformer) : Introduced by Google in 2020 , T5 reframes all NLP tasks as a text-to-text problem, using a unified text-based format. Interpretability and Explainability BERT : The bidirectional nature provides rich contextual embeddings but can be harder to interpret.

BERT 298

BERT NLP Neural Network Natural Language Processing 298

DataRobot Blog

FEBRUARY 16, 2022

A 2016 paper that sought to explain integrated care , laid out four different definitions and five different conceptual frameworks. A December 2021 survey by Optum reported that 85% of healthcare leaders say they have an AI strategy and 48% have implemented it, an increase since reporting in 2020. grows louder.

Machine Learning 52

Machine Learning Explainability AI Strategy Artificial Intelligence 52

Unite.AI

FEBRUARY 16, 2024

Since its launch in 2020, the Buddy app has won several awards and topped the charts in the App Store's Kids and Education category with over 36M downloads worldwide. Children download the App and convince parents to pay for a subscription, explaining that Buddy is a teacher.

Natural Language Processing 173

Natural Language Processing AI AI UX Design 173

Flipboard

JUNE 13, 2023

So we taught a LLM to explain to us in plain language why the Redfin Estimate may have priced a specific home in a particular way, and then we can pass those insights via our customer service team back to the customer to help them understand what’s going on. (PSL

Generative AI 175

Generative AI Auto-complete Software Engineer AI 175

Flipboard

MARCH 7, 2023

In an interview, Instagram co-founder Kevin Systrom explains what drew him to this space and how his new app’s underlying technology will serve to differentiate it from the competition. ” This, he explains, was basically a “follow graph” powered by machine learning, instead of by users clicking a button.

Machine Learning 122

Machine Learning Algorithm Explainability ChatGPT 122

Mlearning.ai

MARCH 24, 2023

Photo by Guillaume Périgois on Unsplash EU AI Act: History and Timeline 2018 : EU Commission starts pilot project on ‘Explainable AI’. 2020 : Consultation and evaluation of pilot phase of AI Ethics guidelines begins. As a result, the EU is able to set global standards through its regulatory power.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Categorization Explainability 52

Mlearning.ai

AUGUST 11, 2023

Motivation and the proposal They observe unbelievably low GPU utilization on Alibaba servers and explain the reasons for that observation, which motivates them to tackle it. Their bottom-line evaluation results show 42% and 34% utilization improvement for GPU memory and GPU computation units, respectively.

Deep Learning 52

Deep Learning Neural Network Explainability AI 52

AI Impacts

JULY 20, 2023

We explain why model evaluation is critical for addressing extreme risks. Survey on intermediate goals in AI governance (Rethink Priorities, Räuker and Aird, March) It seems that a key bottleneck for the field of longtermism-aligned AI governance is limited strategic clarity (see Muehlhauser, 2020 , 2021 ).

AI Strategy 100

AI Strategy AI AI Neural Network 100

Heartbeat

FEBRUARY 27, 2023

Generative Adversarial Networks, on the other hand, have also been applied to a variety of problems in the healthcare, finance, and entertainment industries, including game design, drug research, and portfolio management (Manaswi, 2020). Types of GANs GANs come in a variety of forms, each having special qualities and applications. Mirza, M.,

Machine Learning 52

Machine Learning Deep Learning Robotics Neural Network 52

AWS Machine Learning Blog

MARCH 23, 2023

For more information, check out the video How would you explain homomorphic encryption? To learn more about the FHE public key encryption process we chose, refer to CKKS explained. The AWS re:Invent 2020 breakout session Privacy-preserving maching learning , by Joan Feidenbaim, Amazon Scholar with the AWS Crytographic Algorithms Group.

ML 95

ML Machine Learning Deep Learning Explainability 95

Heartbeat

MAY 22, 2023

2020 ) can be integrated to add greater weight to the core features. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. We pay our contributors, and we don’t sell ads.

Computer Vision 52

Computer Vision Convolutional Neural Networks Emotion AI Deep Learning 52

ML @ CMU

MARCH 31, 2023

However, while numerous explainable AI (XAI) methods have been developed, XAI has yet to deliver on this promise. On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. FAccT, 2020. Balayan, V., Saleiro, P., Bizzaro, P., Talwalkar, A. & & Ghani, R. link ) [4] Kim, J.

ML 98

ML Explainability Algorithm Machine Learning 98

The Stanford AI Lab Blog

FEBRUARY 24, 2022

2020 , Sohn et al., In the rest of this blogpost, we’ll share our theoretical analysis explaining why this is the case, showing that retraining in self-training provably improves accuracy compared to the original pseudo-labeler. 2020 , Chen et al. Chen et al., 2017 , Shu et al., 2019 , Berthelot et al., 2019 , Xie et al.,

Deep Learning 40

Deep Learning Algorithm Explainability 40

Heartbeat

AUGUST 1, 2023

Springer International Publishing, 2020. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. “Deep learning vs. traditional computer vision.” We pay our contributors, and we don’t sell ads.

Computer Vision 52

Computer Vision Deep Learning Neural Network Algorithm 52

Mlearning.ai

JUNE 7, 2023

Author- Dylan Reid(Moskowitz) 5) A rant about why technologists are bad at predictions Link- [link] Hinton infamously predicted that AI would replace radiologists (not dissimilar to how Musk promised Full Self-Driving by 2020). And neither prediction worked out. So why do prominent technologists get predictions so wrong?

Large Language Models 52

Large Language Models AI AI Machine Learning 52

John Snow Labs

MAY 15, 2023

Explainability and Interpretability: Models should be capable of answer stakeholder questions about the decision-making processes of AI systems. Personal information leakage has been shown to be as high as 50-70% in popular word and sentence embeddings according to [ Song & Raghunathan 2020 ].

NLP 52

NLP Software Engineer Data Scientist Responsible AI 52

Dlabs.ai

MARCH 7, 2024

Nabla’s journey with GPT-3 began in 2020, positioning them as early adopters of the technology, which now forms the backbone of the Copilot service. What’s even more captivating is Nabla’s forward-looking strategy.

ChatGPT 110

ChatGPT AI AI AI Chatbots 110

Heartbeat

JANUARY 5, 2024

Image by Author Large Language Models (LLMs) entered the spotlight with the release of OpenAI’s GPT-3 in 2020. The following article explains each of these in more detail with code. We have seen exploding interest in LLMs and in a broader discipline, Generative AI. models by OpenAI. We pay our contributors, and we don’t sell ads.

Large Language Models 52

Large Language Models LLM Chatbots AI 52