Hacker News

MAY 6, 2023

Scientists interested in this latter approach were also represented at Dartmouth and later championed the rise of symbolic logic, using heuristic and algorithmic processes, which I’ll discuss in a bit. The program relied on early ideas of symbolic logic, with algorithmic steps and heuristic guidance in list form.

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Flipboard

APRIL 8, 2023

This split has steadily grown since 2011, when the percentages were nearly equal. With use comes abuse Using data from the AI, Algorithmic, and Automation Incidents and Controversies ( AIAAIC) Repository , a publicly available database, the AI Index reported that the number of incidents concerning the misuses of AI is shooting up.

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Hacker News

DECEMBER 19, 2024

The first videos were posted on Suprnova’s video portal back in 2011. Video Portal (2011) With more than a decade of YouTube experience, six billion video views, and a team that consists of nearly 200 people, Suprnova’s founder has come a long way. It was the first time in my life that I felt school came easy.

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Dataconomy

MAY 8, 2024

its Sonio Detect product, which employs advanced deep learning algorithms to enhance ultrasound image quality in real-time, has gained FDA 510(k) approval. Samsung Electronics, which purchased Medison in 2011 for $22 million, holds a 68.45% ownership in the medical device division. In the U.S.,

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Dataconomy

SEPTEMBER 17, 2024

Of course, the big data analysis algorithms of traffic networks will be more modest than those of Facebook, so it is too early to dream of powerful optimization. It was bought by Google in 2011. Any platform and any action that occurs on it is controlled by numerous programs and algorithms.

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Dataconomy

AUGUST 23, 2023

Many people who are not in the technology world have difficulty understanding the power and algorithm behind many innovations of artificial intelligence that have entered our lives in recent years. Utilizing real-time processing and AI algorithms, platforms like these have achieved the remarkable feat of providing instantaneous translations.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Challenges in FL You can address the following challenges using algorithms running at FL servers and clients in a common FL architecture: Data heterogeneity – FL clients’ local data can vary (i.e., Despite these challenges of FL algorithms, it is critical to build a secure architecture that provides end-to-end FL operations.

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AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). If you have a large dataset, the SageMaker KNN algorithm may provide you with an effective semantic search.

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Dataconomy

SEPTEMBER 19, 2023

This involves developing algorithms and models that enable machines to understand, interpret, and respond to voice commands, text-based inputs, and even facial expressions and gestures. Since its introduction in 2011, Siri has become a popular feature on Apple devices such as iPhones, iPads, and Mac computers.

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IBM Journey to AI blog

AUGUST 13, 2024

In the following two decades, IBM continued to advance AI with research into machine learning, algorithms, NLP and image processing. contest viewed by millions in February 2011, Watson competed in two matches against the foremost all-time champions. In a televised Jeopardy!

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Data Science Blog

JUNE 27, 2023

Lambda – Architecture Introduced in 2011 during the peak of Big Data’s prominence, the Lambda architecture remains a significant presence in the field. Requirements that clearly speak in favor of Kappa: When the algorithms applied to the real-time data and the historical data are identical.

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Kaggle

APRIL 20, 2020

Once I had created these features, I used a generalization of the random forest algorithm to build a model. I’ll try to write some detail about how this algorithm works when I have more time, but really, the difference between it and a regular random forest is not that great. MaxAPapers’).

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Algorithm 49

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). Conclusion.

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Hacker News

MARCH 25, 2022

Attention Net didn’t sound very exciting,” said Vaswani, who started working with neural nets in 2011.Jakob Their Bidirectional Encoder Representations from Transformers ( BERT ) model set 11 new records and became part of the algorithm behind Google search.

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AWS Machine Learning Blog

JULY 15, 2024

In our pipeline, we used Amazon Bedrock to develop a sentence shortening algorithm for automatic time scaling. Here’s the shortened sentence using the sentence shortening algorithm. She is also the recipient of the Best Paper Award at IEEE NetSoft 2016, IEEE ICC 2011, ONDM 2010, and IEEE GLOBECOM 2005. Cristian Torres is a Sr.

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Pickl AI

JULY 24, 2024

Turing proposed the concept of a “universal machine,” capable of simulating any algorithmic process. The development of LISP by John McCarthy became the programming language of choice for AI research, enabling the creation of more sophisticated algorithms. Simon, demonstrated the ability to prove mathematical theorems.

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Dataconomy

JUNE 15, 2023

Aristotle’s ideas on logic and rationality have influenced the development of algorithms and reasoning systems in modern AI, creating the foundation of the timeline of artificial intelligence. AI-powered robots are equipped with sensors, perception systems, and decision-making algorithms to perceive and interact with their environment.

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Kaggle

APRIL 20, 2020

What I tried and What ended up working I tried many different algorithms (mainly weka and matlab implementations) and feature sets in nearly 80 submissions. Originally published at b log.kaggle.com on February 22, 2011. My PhD research focuses on meta-learning and the full model selection problem.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

Customers using dynamic programming (DP) algorithms for applications like genome sequencing or accelerated data analytics can also see further benefit from P5e through support for the DPX instruction set. degree in Computer Science in 2011 from the University of Lille 1. He holds a M.E. degree from the University of Science and a Ph.D.

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IBM Data Science in Practice

JULY 5, 2023

In Otter-Knoweldge, we use different pre-trained models and/or algorithms to handle the different modalities of the KG, what we call handlers. These handlers might be complex pre-trained deep learning models, like MolFormer or ESM, or simple algorithms like the morgan fingerprint. Nucleic Acids Research, 40(D1):D1100–D1107, 09 2011.

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Mlearning.ai

JULY 22, 2023

This approach allows Apple to effectively remove a number of privacy concerns by eliminating the need for extensive data sharing and having the algorithms operate locally on users’ devices. Siri launched back in 2011 and became the first modern virtual assistant of its kind.

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AWS Machine Learning Blog

OCTOBER 23, 2023

Founded in 2011, Talent.com is one of the world’s largest sources of employment. The performance of Talent.com’s matching algorithm is paramount to the success of the business and a key contributor to their users’ experience.

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Kaggle

APRIL 20, 2020

I was playing with various regression algorithms, but quickly chose linear regression — because the results were good and the computation time was short. Originally published at blog.kaggle.com on February 17, 2011. So my solution required me to build 61x10=610 regression models.

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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!

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AWS Machine Learning Blog

APRIL 6, 2023

We also demonstrate the performance of our state-of-the-art point cloud-based product lifecycle prediction algorithm. 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 next calculated the MAPE for the actual sales values.

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IBM Journey to AI blog

OCTOBER 12, 2023

These models rely on learning algorithms that are developed and maintained by data scientists. For example, Apple made Siri a feature of its iOS in 2011. In other words, traditional machine learning models need human intervention to process new information and perform any new task that falls outside their initial training.

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Heartbeat

OCTOBER 9, 2023

Computer vision algorithms can reconstruct a highly detailed 3D model by photographing objects from different perspectives. But computer vision algorithms can assist us in digitally scanning and preserving these priceless manuscripts. These ground-breaking areas redefine how we connect with and learn from our collective past.

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Explosion

DECEMBER 17, 2013

Today, almost all high-performance parsers are using a variant of the algorithm described below (including spaCy). This doesn’t just give us a likely advantage in learnability; it can have deep algorithmic implications. But the parsing algorithm I’ll be explaining deals with projective trees.

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Mlearning.ai

JULY 30, 2023

What we are looking for in these algorithms is to output a list of features along with corresponding importance values. Most feature-importance algorithms deal very well with dense and categorical features. We will cover very rudimentary methods, along with quite sophisticated algorithms. The dataset has 10 dense features.

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Explosion

FEBRUARY 18, 2015

The short story is, there are no new killer algorithms. The way that the tokenizer works is novel and a bit neat, and the parser has a new feature set, but otherwise the key algorithms are well known in the recent literature. Dependency Parser The parser uses the algorithm described in my 2014 blog post. 0.2%) difference.

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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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Cambridge Intelligence

FEBRUARY 20, 2025

js) D3 makes sense for media organizations such as The New York Times […] where a single graphic may be seen by a million readers d3js.org History: First created by Stanford alumni and released in 2011. Live demos – tutorials let you try out basic styling, layout and algorithm options.

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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.

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DagsHub

JULY 25, 2024

TensorFlow implements a wide range of deep learning and machine learning algorithms and is well-known for its adaptability and extensive ecosystem. In finance, it's applied for fraud detection and algorithmic trading. In 2011, H2O.ai Notable Use Cases TensorFlow is widely used in various industries.

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Hacker News

FEBRUARY 14, 2023

And in fact the big breakthrough in “deep learning” that occurred around 2011 was associated with the discovery that in some sense it can be easier to do (at least approximate) minimization when there are lots of weights involved than when there are fairly few. There’s the raw corpus of examples of language.

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Mlearning.ai

JUNE 5, 2023

C++ also provides direct access to low-level features like pointers and bitwise operations, which can improve the efficiency of algorithms and data structures. It is a fork of the Python Imaging Library (PIL), which was discontinued in 2011. This is critical for computer vision jobs that need real-time processing and precision.

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Deep Learning Deep Learning Python Machine Learning 52

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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