Flipboard

MAY 2, 2023

Since 2011, national math test scores from the National Assessment of Educational Progress, or NAEP, fell by 17 points for eighth graders and 10 points for fourth graders in data analysis, statistics and probability.

Data Science 162

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Lexalytics

JULY 12, 2023

We’ve pioneered a number of industry firsts, including the first commercial sentiment analysis engine, the first Twitter/microblog-specific text analytics in 2010, the first semantic understanding based on Wikipedia in 2011, and the first unsupervised machine learning model for syntax analysis in 2014.

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ODSC - Open Data Science

DECEMBER 13, 2023

That’s an international research group founded at the Lawrence Berkeley National Laboratory in 2011. The AI used by the DeepMind team was trained on data from the Materials Project. Currently, it’s researching around 50,000 known materials.

Data Science 98

Data Science Machine Learning AI AI 98

Unite.AI

SEPTEMBER 6, 2023

Take LinkedIn for example – after their 2011 IPO, the company replatformed the site and is now a huge player in the market. Similar to a large-scale construction process, any delays in scheduling can throw off product timelines and could cause the whole effort to fail. This method can work sometimes though.

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AI AI Data Quality Artificial Intelligence 354

IBM Journey to AI blog

APRIL 11, 2023

For example, the IBM Pathways program created in 2011 to increase the diversity of our technical leadership and executive teams. In addition, we build Diversity Equity and Inclusion programs to support hiring and retaining members of historically underrepresented communities.

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ESG 228

Flipboard

NOVEMBER 25, 2023

That's prompted several lawsuits, including one from the Author's Guild.The stock photo site Getty Images, used by Scripps News, has also sued Stability AI, claiming that the firm's stable diffusion tool was illegally trained on Getty Images.And comedian Sarah Silverman is suing both OpenAI and Meta.

Large Language Models 72

Large Language Models OpenAI AI AI 72

Ehud Reiter

JULY 31, 2023

In 2011, the Watson system beat top human players at the game. IBM Watson and Jeopardy! IBM Watson was a question answering system developed around 2010, which was designed to compete on the TV quiz show Jeopardy! Wikipedia entry ).

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LLM Machine Learning OpenAI AI 189

Towards AI

APRIL 22, 2024

Coined in 2011, it was designed to function in distributed clusters similar to NoSQL databases, they have a relational model that complies with ACID properties and supports SQL query semantics. New SQL databases — NewSQL is a modern form of relational database system that sits between SQL and NoSQL.

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Unite.AI

AUGUST 23, 2023

For various reasons (most likely because of its ubiquity on Amazon's Echo devices ) Alexa is the best-known and most popular voice assistant technology – but even in that sphere, Apple was first , releasing its Siri voice assistant in 2011 – predating Google Now (2012), Cortana (2013), and Alexa (2014).

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DataRobot Blog

APRIL 29, 2022

In 2011, the Federal Reserve Board (FRB) and the Office of Comptroller of the Currency (OCC) issued a joint regulation specifically targeting Model Risk Management (respectively, SR 11-7 and OCC Bulletin 2011-12 ).

Black Box AI 111

Black Box AI Machine Learning Automation Big Data 111

AI Impacts

FEBRUARY 14, 2023

2011) [link]. True navigation in birds: from quantum physics to global migration. Journal of Zoology 293. 2014) [link]. Quantum effects in biology: Bird navigation. Procedia Chemistry 3. Appendix Here is a brief description of how a bird’s magnetic sense seems to work: A bird’s retina contains some pigments called cryptochromes.

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Marktechpost

JULY 23, 2023

A current PubMed search using the Mesh keywords “artificial intelligence” and “radiology” yielded 5,369 papers in 2021, more than five times the results found in 2011.

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ODSC - Open Data Science

JUNE 6, 2023

Since 2011, a man by the name of Gert-Jan Oskam had been paralyzed from the hips down after a motorcycle accident. Swiss researchers were able to use AI in implants that acted as a bridge between the spine and brain, allowing a paralyzed man to walk.

Large Language Models 59

Large Language Models Data Science Machine Learning AI 59

Marktechpost

SEPTEMBER 27, 2023

In 2011, vision neuroscientists started a mission to answer this age-old question. The question he posed was simple yet profound: If a person blind from birth were suddenly to gain their sight, would they be able to recognize objects they had previously only known through touch and other non-visual senses?

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Neural Network Artificial Intelligence Artificial Intelligence AI Researcher 95

Flipboard

APRIL 8, 2023

This split has steadily grown since 2011, when the percentages were nearly equal. Industry, not academia, is drawing new AI Ph.D.’s s In 2021 (that’s the latest numbers available), 65.4 percent of all AI Ph.D.’s s went to industry, compared with 28.2 percent who took jobs in academia, according to the AI Index Report.

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Large Language Models Machine Learning AI AI 181

Pickl AI

JULY 12, 2023

1. Matrix (1999-2011) “The Matrix” trilogy, directed by the Wachowski siblings, is a groundbreaking science fiction series that explores themes of reality, consciousness, and the power of data and information. 10 Best Data Science Movies you need to Watch!

Data Science 52

Data Science Robotics Artificial Intelligence Artificial Intelligence 52

Unite.AI

OCTOBER 12, 2023

At a high level, the focus of this paper is about how to reconstruct speech content using a feature representation that is widely used in the field of automatic speech recognition (ASR), mel-frequency cepstral coefficients.

Machine Learning 278

Machine Learning Deep Learning Conversational AI Data Quality 278

Viso.ai

FEBRUARY 11, 2024

2011 – A good ILSVRC image classification error rate is 25%. The same CNN, with an extra sixth convolutional layer, was used to classify the entire ImageNet Fall 2011 release (15M images, 22K categories). 2012 – A deep convolutional neural net called AlexNet achieves a 16% error rate.

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Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

John Snow Labs

DECEMBER 26, 2023

The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). /abs/2005.03993 Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. Learning Word Vectors for Sentiment Analysis.

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Neural Network Computational Linguistics Natural Language Processing NLP 52

O'Reilly Media

APRIL 23, 2024

From 2000 to 2011, the percentage of US adults using the internet had grown from about 60% to nearly 80%. Starting around 2011, advertising, which once framed the organic results and was clearly differentiated from them by color, gradually became more dominant, and the signaling that it was advertising became more subtle.

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BERT Algorithm AI AI 108

ODSC - Open Data Science

MAY 2, 2023

Bentley University Bentley University’s Master’s in Business Analytics program ranks in the top 50 for online analytics programs worldwide and in 2011 was recognized as #11 in Big Data by Top 50 Best Value. This project has students working with clients or companies and culminates in a C-suite presentation.

Data Science 52

Data Science Big Data Data Mining Data Analysis 52

Ehud Reiter

APRIL 9, 2023

Back in 2010, Saad Mahamood (then a PhD student with me) developed an NLG system which summarised data about sick babies in neonatal intensive care for their parents ( Mahamood and Reiter 2011 ); this system was deployed and used in the hospital for a few years, and parents in general were very appreciative.

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ChatGPT Explainability LLM Chatbots 100

ODSC - Open Data Science

FEBRUARY 20, 2023

He gave the Inaugural IMS Grace Wahba Lecture in 2022, the IMS Neyman Lecture in 2011, and an IMS Medallion Lecture in 2004. He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E.

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Data Science Machine Learning ML Engineer Python 96

DataRobot Blog

MAY 10, 2022

It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively).

Automation 64

Automation Machine Learning Data Quality Algorithm 64

NVIDIA

NOVEMBER 15, 2023

IBM’s Watson became a TV celebrity in 2011 when it handily beat two human champions on the Jeopardy! But the machine learning engines driving them have grown significantly, increasing their usefulness and popularity. In the mid-1990s, the Ask Jeeves service, now Ask.com, popularized question answering with its mascot of a well-dressed valet.

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LLM Generative AI AI Modeling Neural Network 135

Mlearning.ai

JULY 22, 2023

Siri launched back in 2011 and became the first modern virtual assistant of its kind. This enormous consumer market could mean rolling out innovative AI products to users on iOS devices in ways competing companies would not be able to.

Chatbots 98

Chatbots ChatGPT AI AI 98

TensorFlow

JUNE 6, 2023

The Tree of Life (2011) # 2. Do not include other text.""" response = palm.chat(messages=prompt) print (response.last) # Sure, here are three drama movies with artistic elements that I recommend for user 42: # # 1. 20th Century Women (2016) # 3. The Florida Project (2017) # # I hope you enjoy these movies!

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Large Language Models LLM ML Chatbots 105

Mlearning.ai

AUGUST 6, 2023

As described in the previous article , we want to forecast the energy consumption from August of 2013 to March of 2014 by training on data from November of 2011 to July of 2013. Experiments Before moving on to the experiments, let’s quickly remember what’s our task.

Python 52

Python Software Development Algorithm AI 52

SAS Software

DECEMBER 7, 2023

E[Ya=1-Ya=0] であれば0）を含むかなり広い幅となり、有用でないことの方が一般的です。 第4の仮定：homogeneity（同質性） [.] The post 本当の原因とはなにか：操作変数法（Instrumental variable methods）② appeared first on SAS Blogs.

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AWS Machine Learning Blog

APRIL 6, 2023

For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). We trained three models using data from 2011–2018 and predicted the sales values until 2021. We next calculated the MAPE for the actual sales values.

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Machine Learning ML Categorization Data Scientist 83

Mlearning.ai

FEBRUARY 27, 2023

For the purposes of this tutorial, I’ve chosen the London Energy Dataset which contains the energy consumption of 5,567 randomly selected households in the city of London, UK for the time period of November 2011 to February 2014.

Machine Learning 52

Machine Learning Software Development ML Data Science 52

Flipboard

MARCH 18, 2023

Some of his early published work on the question, from 2011 and 2012, raises questions about what shape those models will take, and how hard it would be to make developing them go well — all of which will only look more important with a decade of hindsight.

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Artificial Intelligence Artificial Intelligence Automation OpenAI 123

Kavita Ganesan

MAY 24, 2022

And then he picked up again, I think, around 2011, when big data became a thing, then we had lots of faster computation power, and then it just accelerated from that. So it’s only around 2013, 2011, where AI became a thing in the industry. And neural networks now has become deep learning.

AI 52

AI AI Neural Network Natural Language Processing 52

Pickl AI

MARCH 22, 2023

Bridgei2i Analytics Established in 2011 by Prithvijit Roy, the CEO of the company, Bridgei2i specialises in enabling Data driven transformations for different companies across industries and the world. Accordingly, the company encourages its Data Scientists to analyse and simplify large volumes of client data to help decision-making.

Data Science 52

Data Science Data Scientist Big Data Artificial Intelligence 52

Mlearning.ai

JULY 30, 2023

2825–2830, 2011. Hopefully, you thoroughly understand how to identify valuable features, why they’re helpful, and how you can use them. Reference Scikit-learn: Machine Learning in Python , Pedregosa et al., JMLR 12, pp. Menze, B.H.,

Python 52

Python Categorization Machine Learning Explainability 52

Heartbeat

OCTOBER 9, 2023

Responsible and collaborative approaches will ensure that technology is used to respect and protect the integrity of historical artifacts and sites. Here are some resources for more information: Hasibuan, Z. Ahmad, M., & Selviandro, N. Preservation of cultural heritage and natural history through game-based learning. Ekanayake, B., Wong, J.

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DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. While SR 11-7 is prescriptive in its guidance, one challenge that validators face today is adapting the guidelines to modern ML methods that have proliferated in the past few years.

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