Heartbeat

FEBRUARY 6, 2023

How do Object Detection Algorithms Work? There are two main categories of object detection algorithms. Two-Stage Algorithms: Two-stage object detection algorithms consist of two different stages. Single-stage object detection algorithms do the whole process through a single neural network model.

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ML @ CMU

SEPTEMBER 13, 2024

2017 ] may look like tests for memorization and they are even intimately related to auditing machine unlearning [ Carlini et al., In this section, we formally define and introduce our MiniPrompt algorithm that we use to answer our central question. In 2017 IEEE symposium on security and privacy (SP) , pages 3–18. IEEE, 2017.

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Hacker News

AUGUST 13, 2024

Back in 2017, 2018, people would ask ‘What’s a quantum computer?’” NIST’s competition for the best quantum-safe algorithm NIST announced a public competition for the best PQC algorithm back in 2016. Since then, NIST has gone through 4 elimination rounds, finally whittling the pool down to four algorithms in 2022.

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Data Science Dojo

DECEMBER 8, 2023

In this approach, the algorithm learns patterns and relationships between input features and corresponding output labels. Traditional learning approaches Traditional machine learning predominantly relied on supervised learning, a process where models were trained using labeled datasets.

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FlowingData

JANUARY 23, 2024

In an effort to find a suspect in a 1990 murder, there was a police request in 2017 to use a 3-D rendering of a face based on DNA. For Wired, Dhruv Mehrotra reports : The detective’s request to run a DNA-generated estimation of a suspect’s face through facial recognition tech has not previously been reported.

Algorithm 124

Algorithm 124

Hacker News

JUNE 2, 2025

In 2017, a nuclear power plant in Kansas was the subject of a Russian cyberattack. Thats great if you know your RoT code doesnt have any bugs, and uses algorithms that cant go obsolete. investigation has concluded that this was due to a Russian state cyberattack on Ukrainian computers running critical infrastructure.

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AWS Machine Learning Blog

APRIL 7, 2025

In this example, the model extracts key financial metrics from Amazon 10-K reports (2017-2024), demonstrating its capability to integrate and analyze data spanning multiple yearsall without the need for additional processing tools. billion in 2017 to a projected $37.68 billion in 2017 to a projected $37.68

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Hacker News

AUGUST 11, 2023

By the end of 2017, the same algorithm mastered Chess and Shogi. Back in 2014, Elon Musk referred to AI as summoning the demon. And it wasn’t hard to see that view. Soon, Go agents would beat top humans learning from self play. By 2020, it didn’t even need tons of calls to the simulator, and could play Atari too.

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Dataconomy

MARCH 17, 2025

These algorithms continuously learn and improve, which helps in recognizing trends that may otherwise go unnoticed. The evolution of data analytics The term “augmented intelligence” was introduced by Gartner in 2017, highlighting the shift towards systems that support human decision-making rather than replacing it.

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Dataconomy

FEBRUARY 17, 2025

Under the leadership of CEO Dara Khosrowshahi, who joined in 2017, Uber has streamlined operations and reported substantial growth. IONQ IONQ is pioneering quantum computing, utilizing AI to enhance quantum algorithms and optimize hardware-software integration. In 2024, the company generated $9.86 billion from $3.36 billion in 2023.

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Hacker News

MARCH 25, 2022

First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date. That’s a radical shift from a 2017 IEEE study that reported RNNs and CNNs were the most popular models for pattern recognition. No Labels, More Performance. How Transformers Got Their Name.

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Dataconomy

MARCH 5, 2025

By utilizing a combination of deep learning, reinforcement learning, and advanced algorithms, DeepMind creates systems that can adapt to complex challenges. Defeating human champions: In 2017, AlphaGo made headlines by defeating the world’s top Go player, showcasing the capabilities of AI through advanced supervised learning models.

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Data Science Dojo

JANUARY 18, 2023

This makes them susceptible to exploitation from expensive moneylenders or loan sharks in the informal financial sector. AI and machine learning algorithms however can reduce this discrepancy.

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AWS Machine Learning Blog

MARCH 11, 2025

simple Music Can you tell me how many grammies were won by arlo guthrie until 60th grammy (2017)? Both types of questions are common from users, and a typical Google search for the query such as Can you tell me how many grammies were won by arlo guthrie until 60th grammy (2017)? will not give you the correct answer (one Grammy).

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Smart Data Collective

DECEMBER 9, 2020

In 2017, the university forged a partnership with Microsoft and the city of Bellevue. Data from these accidents is used to train machine learning algorithms to identify correlating risk factors with car accidents. Machine learning algorithms will also be able to aggregate data from third parties on traffic safety risks.

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Data Science Dojo

APRIL 26, 2023

The architecture of Chat GPT ChatGPT is a variant of transformer-based neural network architecture, introduced in a paper by the name “Attention is all you need” in 2017, transformer architecture was specifically designed for NLP (Natural Language Processing) tasks and prevails as one of the most used methods to date.

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O'Reilly Media

MAY 28, 2025

The whole thrust of my 2017 book WTF? Wed put in human words and get back documents that the algorithm thought were most related to what we were looking for. Many Silicon Valley investors and entrepreneurs even seem to view putting people out of work as a massive opportunity. That idea is anathema to me.

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Dataconomy

OCTOBER 2, 2024

cum laude in machine learning from the University of Amsterdam in 2017. In 2015, Kingma co-founded OpenAI, a leading research organization in AI, where he led the algorithms team. He earned his Ph.D. His academic work, particularly in deep learning and generative models, has had a profound impact on the AI community.

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Towards AI

JANUARY 11, 2024

The Great New Question Two researchers have made the boldest claim in years: throwing the biggest algorithmic breakthrough of the 21st century out the window. Author(s): Ignacio de Gregorio Originally published on Towards AI. ChatGPT, Gemini, Claude, you name it, all are based on this seminal architecture.

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Hacker News

FEBRUARY 16, 2021

My guess was that once again this was due to an observation which I have taken to calling Dawson’s first law of computing: O(n^2) is the sweet spot of badly scaling algorithms : fast enough to make it into production, but slow enough to make things fall down once it gets there. Quadratic algorithms usually fail that test.

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Towards AI

AUGUST 25, 2023

In ML, there are a variety of algorithms that can help solve problems. In graduate school, a course in AI will usually have a quick review of the core ML concepts (covered in a previous course) and then cover searching algorithms, game theory, Bayesian Networks, Markov Decision Processes (MDP), reinforcement learning, and more.

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Dataconomy

MARCH 12, 2025

The introduction of this architecture by researchers at Google in 2017 has reshaped how AI engages with language and other sequential data. Financial/security analysis: Transformers help in fraud detection and algorithmic trading. It processes data in parallel, allowing for faster computations and a better understanding of context.

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Smart Data Collective

JULY 28, 2022

Fortunately, new predictive analytics algorithms can make this easier. Predictive analytics algorithms are more effective at anticipating price patterns when they are designed with the right variables. For example, when China announced crackdowns on cryptocurrency exchanges in 2017, the price of Bitcoin fell sharply.

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Data Science 101

APRIL 26, 2019

Gopher Data – Gophers doing data analysis, no schedule events, last blog post was 2017 Gopher Notes – Golang in Jupyter Notebooks Lgo – Interactive programming with Jupyter for Golang Gota – Data frames for Go, “The API is still in flux so use at your own risk.” Thoughts from the Community.

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Dataconomy

MARCH 20, 2025

in early 2017. Industry use cases Search optimization: TensorFlow powers Googles RankBrain for improved search algorithms. Released as open-source in 2015 under the Apache 2.0 license, it quickly gained traction among developers and researchers. Major releases and updates The framework achieved its first milestone, Release 1.0.0,

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ML @ CMU

MARCH 31, 2023

The stages of evaluation are adapted from Doshi-Velez and Kim (2017); we introduce an additional stage, use-case-grounded algorithmic evaluations, in a recent Neurips 2022 paper [ 2 ]. We introduced an algorithmic-based evaluation called simulated user evaluation (SimEvals) [ 2 ]. Our contributions.

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Dataconomy

MARCH 19, 2025

Developed by Google, these devices are application-specific integrated circuits (ASICs) that enhance the performance of AI algorithms, particularly for tasks related to neural networks and deep learning. TPUs are specialized hardware designed to accelerate and optimize machine learning workloads.

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Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

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Flipboard

JANUARY 14, 2025

His work on the attention mechanism and latent variable models received an Outstanding Paper Award at ACL 2017 and the Best Paper Award for JNLP in 2018 and 2019. She has industry experience, multiple first-author publications in top ML/NLP conferences, and strong foundation in mathematics and algorithms. She obtained her Ph.D.

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NYU Center for Data Science

AUGUST 29, 2024

Standard algorithms aren’t designed for this scenario. Puli earned his MS in Computer Science from NYU in 2017. A key issue Puli plans to tackle is the mismatch between training data and real-world deployment contexts in healthcare. By Stephen Thomas

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. NLP algorithms help computers understand, interpret, and generate natural language.

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Data Science Dojo

DECEMBER 8, 2023

In this approach, the algorithm learns patterns and relationships between input features and corresponding output labels. Traditional learning approaches Traditional machine learning predominantly relied on supervised learning, a process where models were trained using labeled datasets.

Supervised Learning 195

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Data Science Dojo

OCTOBER 18, 2023

In this post, we will study the key components of transformers to understand how they have become the basis of the state of the art in different tasks. Introduction – Attention is all you need The Transformer architecture was first introduced in the 2017 paper “ Attention is All You Need ” by researchers at Google.

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Dataconomy

JULY 18, 2023

The Kilobot platform provides researchers with a practical means to study and experiment with swarm robotics algorithms and concepts. Swarm intelligence algorithms are typically decentralized, meaning that they do not require a central controller. The robots were able to plant the rice more quickly and efficiently than human workers.

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Smart Data Collective

MARCH 22, 2019

They will be even better at this in the future, as big data algorithms improve further. The error rate for real estate professionals using AI algorithms is just 9%. According to the National Association of Realtors, 51% of home buyers found their ideal home online in 2017. Accurate Property Evaluations.

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Flipboard

MARCH 7, 2023

“The machine learning that a lot of what we’re doing is based on was invented in 2017 at Google. ” The app’s algorithms are focused on more than just tracking clicks and engagement. . ” The app’s algorithms are focused on more than just tracking clicks and engagement. wouldn’t exist.

Machine Learning 145

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Heartbeat

MARCH 14, 2023

By incorporating computer vision methods and algorithms into robots, they are able to view and understand their environment. Object recognition and tracking algorithms include the CamShift algorithm , Kalman filter , and Particle filter , among others.

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