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.

Algorithm 181

Algorithm 181

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 123

Algorithm 123

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.

Algorithm 94

Algorithm AI AI 94

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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Machine Learning Machine Learning AI AI 182

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.

Algorithm 195

Algorithm Artificial Intelligence Artificial Intelligence Machine Learning 195

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 346

Supervised Learning Machine Learning Machine Learning Artificial Intelligence 346

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.

AI 111

AI AI Algorithm Data Science 111

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.

Machine Learning 103

Machine Learning Machine Learning Natural Language Processing Deep Learning 103

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.

Machine Learning 98

Machine Learning Machine Learning AI AI 98

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.

Predictive Analytics 142

Predictive Analytics Analytics Analytics Machine Learning 142

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.

Data Science 111

Data Science Machine Learning Machine Learning Python 111

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.

ML 246

ML ML Algorithm Machine Learning 246

Smart Data Collective

NOVEMBER 28, 2022

Ahmed Elgammal, director of Rutgers Art and Artificial Intelligence Laboratory, explains in his article published in American Scientist that these programs employ one of two algorithm classes. The user feeds the algorithm hundreds of pictures, and the algorithm tries to imitate them as best it can.

AI 122

AI AI Algorithm Artificial Intelligence 122

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.

ML 121

ML ML Machine Learning Machine Learning 121

Smart Data Collective

SEPTEMBER 30, 2021

It’s no secret that artificial intelligence and technology has been developing quickly in recent times, with applications such as CAPTCHA that prevent bots from accessing sites, thermostats that adapt to our daily schedules or even algorithms that could choose potential vacation destinations for us. Drought Risk Assessment and Prediction.

Machine Learning 130

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 130

Smart Data Collective

AUGUST 5, 2020

AI Algorithms to Optimize Judicial Procedures. It is a fact that advanced AI-based algorithms are successfully practiced in some judicial systems in the world. Predictive algorithms; In a number of the American states, they involve predictive algorithms that assist in minimizing the load on the judicial structure.

AI 110

AI AI Algorithm Big Data 110

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.

Natural Language Processing 229

Natural Language Processing AI AI Artificial Intelligence 229

ODSC - Open Data Science

NOVEMBER 22, 2024

The PreMevE-MEO model utilizes a sophisticated machine learning algorithm that combines convolutional neural networks with transformers, enabling high-fidelity predictions based on decades of satellite observations. It also highlights the importance of long-term space observations in the age of AI. ”

AI 75

AI AI Machine Learning Machine Learning 75

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.

Natural Language Processing 98

Natural Language Processing Algorithm Machine Learning Machine Learning 98

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

Supervised Learning Machine Learning Machine Learning Artificial Intelligence 195

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.

Natural Language Processing 195

Natural Language Processing Data Science Algorithm 195

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.

Algorithm 172

Algorithm Clustering Artificial Intelligence Artificial Intelligence 172

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

Machine Learning Machine Learning Algorithm 145

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.

Deep Learning 97

Deep Learning Deep Learning Algorithm Machine Learning 97

Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Dataconomy

MAY 8, 2023

AI drawing generators use machine learning algorithms to produce artwork What is AI drawing? You might think of AI drawing as a generative art where the artist combines data and algorithms to create something completely new. But first, let’s take a closer look at what it is. NightCafe is paid for with credits.

AI 194

AI AI Artificial Intelligence Artificial Intelligence 194

Flipboard

FEBRUARY 5, 2023

It’s a nudge from Duolingo , the popular language-learning app, whose algorithms know you’re most likely to do your 5 minutes of Spanish practice at this time of day. Around 2017, the company started to make a more focused investment in machine learning, and that’s when coauthors Brust and Bicknell joined the team.

AI 182

AI AI Machine Learning Machine Learning 182

Smart Data Collective

DECEMBER 13, 2022

In 2017, 77% of U.S. Some of their solutions include: big data functionality capable of processing national and state-district level statistics, AI algorithms to formulate automatic solutions, combining data analytics tools with data visualization to show hidden and profound insights to business managers. between 2022 and 2030.

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Big Data Analytics Big Data Analytics Big Data Big Data 131

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

Hypothesis Testing 53

Hypothesis Testing Computer Science Computer Science Data Science 53

DrivenData Labs

JULY 19, 2023

These are applied problems where public, private, and social sector organizations are actively investing to develop better algorithmic solutions. Machine learning algorithms are becoming critical to scaling these mapping efforts by learning to use aerial imagery to automatically create building footprints.

AI 130

AI AI Machine Learning Machine Learning 130

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.

Big Data 77

Big Data Big Data Algorithm AI 77

Towards AI

JULY 20, 2023

That’s great news for researchers who often work on SLRs because the traditional process is mind-numbingly slow: An analysis from 2017 found that SLRs take, on average, 67 weeks to produce. As the capabilities of high-powered computers and ML algorithms have grown, so have opportunities to improve the SLR process. dollars apiece.

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Natural Language Processing ML ML Support Vector Machines 98

Pickl AI

APRIL 8, 2024

This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. From the moment we wake up to the personalized recommendations on our phones to the algorithms powering facial recognition software, AI is constantly shaping our world.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Dataconomy

DECEMBER 2, 2024

Emerging from TU Darmstadt’s award-winning “Team Hector,” the company gained global recognition by winning the 2017 ARGOS Challenge for developing the first robot capable of complex inspections on oil and gas platforms.

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Deep Learning Deep Learning AI AI 192

Hacker News

MAY 13, 2024

But now, temporarily, until the service is fully automated, we are working using a different algorithm.” The algorithms used are AES + RSA. One strong possible candidate is Cerber ransomware , the most popular and effective affiliate program operating between early 2016 and mid-2017.

Algorithm 181

Algorithm 181

Smart Data Collective

AUGUST 9, 2022

The number increased 56% between 2017 and 2018. It includes using data analytics to coordinate testing, create AI algorithms to automate processes and learn from simulated attacks to ensure security at every development step. The risk of data breaches is rising sharply. Fortunately, new technology can help enhance cybersecurity.

Big Data 123

Big Data Big Data Azure Analytics 123

Defined.ai blog

JANUARY 29, 2023

Generative Adversarial Networks (GANs) are a type of deep learning algorithm that’s been gaining popularity due to their ability to generate high-quality, realistic images and other types of data. As such, Generative Adversarial Networks are invaluable deep learning algorithms with almost endless beneficial potential. How can we help?

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Deep Learning Deep Learning ML ML 95