Flipboard

JANUARY 31, 2023

The app uses algorithmic predictions, which Kevin Systrom sees as ‘the future of social.’ The Instagram co-founders, who departed Facebook in 2018 amid tensions with their parent company, have formed a new venture to explore ideas for next-generation social … Kevin Systrom and Mike Krieger are back.

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NYU Center for Data Science

OCTOBER 16, 2024

The tweet linked to a paper from 2018, hinting at the foundational research behind these now-commercialized ideas. Back in 2018, recent CDS PhD grad Katrina Drozdov (née Evtimova), Cho, and their colleagues published a paper at ICLR called “ Emergent Communication in a Multi-Modal, Multi-Step Referential Game.”

Computer Science 95

Computer Science Computer Science Deep Learning Deep Learning 95

Towards AI

NOVEMBER 16, 2024

Keswani’s Algorithm introduces a novel approach to solving two-player non-convex min-max optimization problems, particularly in differentiable sequential games where the sequence of player actions is crucial. Keswani’s Algorithm: The algorithm essentially makes response function : maxy∈{R^m} f (.,

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ML @ CMU

JANUARY 2, 2025

In practice, our algorithm is off-policy and incorporates mechanisms such as two critic networks and target networks as in TD3 ( fujimoto et al., 2018 ) to enhance training (see Materials and Methods in Zhang et al.,

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DrivenData Labs

MAY 18, 2023

Two exciting recent projects I've worked on involve introducing a new algorithm for differentially private synthetic data generation - the focus of the DrivenData competition I participated in - and the foundations of rule-based explanations in machine learning. Below is a brief description of each.

Data Science 246

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Dataconomy

MARCH 17, 2025

Machine learning algorithms: Utilizing recurrent neural networks and TensorFlow Extended, Duplex effectively handles various tasks with high accuracy and adaptability. Release and availability of Google Duplex Google Duplex made its debut at Google I/O 2018, where Sundar Pichai showcased its capabilities.

Natural Language Processing 91

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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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Flipboard

DECEMBER 4, 2024

More than half of survey respondents reported using an AI algorithm for at least one imaging use case, compared with just 17% in 2018.

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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.

Algorithm 179

Algorithm 179

Data Science Dojo

SEPTEMBER 8, 2023

However, with the introduction of Deep Learning in 2018, predictive analytics in engineering underwent a transformative revolution. It replaces complex algorithms with neural networks, streamlining and accelerating the predictive process. Techniques Uses statistical models, machine learning algorithms, and data mining.

Predictive Analytics 243

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Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. The researchers analyzed daily market data from nearly 1,700 cryptocurrencies that were sold between November 2015 and April 2018. The accuracy of these machine learning algorithms is also important.

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Machine Learning Machine Learning Predictive Analytics Algorithm 140

Flipboard

DECEMBER 4, 2024

In 2018, Google DeepMind's AlphaZero program taught itself the games of chess, shogi, and Go using machine learning and a special algorithm to determine the best moves to win a game within a defined grid.

Machine Learning 73

Machine Learning Machine Learning Algorithm Computer Science 73

Smart Data Collective

JANUARY 14, 2021

A research project from Israel is helping solve the problem of overwhelming email messages by using big data algorithms to sort through email content more effectively. Mark Last, a professor with Ben Gurion University worked with his colleagues to develop some big data algorithms to summarize text more efficiently.

Big Data 132

Big Data Big Data Machine Learning Machine Learning 132

Data Science 101

JUNE 3, 2019

Playing Atari with Deep Reinforcement Learning (2013) – A bit older, but a classic in the reinforcement learning literature Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning (2018) – title sums it up Borg, Omega, and Kubernetes (2016) – Kubernetes is widely used and this is one of the early papers Integer (..)

Data Science 96

Data Science Machine Learning Machine Learning Algorithm 96

Hacker News

JULY 17, 2024

This is why the Algorithmic Justice League, a nonprofit that sheds light on AI harms, launched a campaign this month called “Freedom Flyers” to raise awareness of your right to opt out. She was referring to a roadmap released in 2018 by the TSA. The TSA’s own 2018 roadmap says they aim to use “live biometrics” in the future.

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Smart Data Collective

NOVEMBER 17, 2021

85,000 jobs disappeared from the retail sector in the first quarter of 2018, and about 30,000 retailers reported financial difficulties. from prior periods as of 2018. Everything will be done based on a repeatable algorithm. In the U.K., This will of course ensure a higher product quality.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 142

Smart Data Collective

DECEMBER 3, 2021

The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. You can also use your knowledge of big data to create AI algorithms that will prevent fraud in games that involve spending money. Are you looking to get a job in big data? That could be a wise career move.

Machine Learning 132

Machine Learning Machine Learning Data Science Big Data 132

Dataconomy

OCTOBER 2, 2024

Kingma is best known for co-developing several groundbreaking techniques in AI, including the Adam optimizer , a widely-used optimization algorithm in deep learning, and Variational Autoencoders (VAE) , a type of generative model that enables unsupervised learning and has applications in image generation and other AI tasks.

Machine Learning 103

Machine Learning Machine Learning Natural Language Processing Deep Learning 103

Hacker News

JUNE 1, 2023

This is what I wrote in Click Here to Kill Everybody (2018): I am less worried about AI; I regard fear of AI more as a mirror of our own society than as a harbinger of the future. AI and intelligent robotics are the culmination of several precursor technologies, like machine learning algorithms, automation, and autonomy.

AI 170

AI AI Artificial Intelligence Artificial Intelligence 170

NYU Center for Data Science

JUNE 2, 2023

Utilizing the company’s proprietary pricing algorithm, he helped launch a hedge fund that deployed the algorithm for high volume intraday trading. In 2018, Louis received his PhD in Statistics from Columbia University advised by Professor Daniel Rabinowitz.

Data Science 97

Data Science Algorithm Machine Learning Machine Learning 97

Hacker News

NOVEMBER 27, 2024

content recommendation algorithms), we also release the full output of several popular algorithms available on the platform, along with their timestamped “like” interactions and time of bookmarking. We also make available social data covering follow, comment, repost, and quote interactions.

Big Data Analytics 116

Big Data Analytics Big Data Analytics Big Data Big Data 116

ML @ CMU

DECEMBER 29, 2023

These factors introduce noise that can affect hyperparameter tuning algorithms and lead to suboptimal model selection. However, FL is still vulnerable to post-hoc attacks where the public output of the FL algorithm (e.g. that are fed into an FL training algorithm (more details in the next section). Source: Hyperband (Li et al.

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Algorithm Machine Learning Machine Learning ML 209

Dataconomy

OCTOBER 5, 2023

AI practitioners choose an appropriate machine learning model or algorithm that aligns with the problem at hand. The objective is to minimize this loss Backpropagation is employed to adjust the model’s parameters using an optimization algorithm like gradient descent. The next critical step is model selection.

AI 136

AI AI Artificial Intelligence Artificial Intelligence 136

Smart Data Collective

DECEMBER 15, 2022

In 2018, Blake Morgan wrote an article in Forbes detailing how Amazon rebranded itself around AI. Algorithm Optimization. Google’s algorithm has to be “pleased” if you want to rank well and have your brand exposed to consumers. Ecommerce giants like Amazon are finding creative ways to leverage AI.

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AI AI Algorithm Artificial Intelligence 145

Dataconomy

NOVEMBER 20, 2023

His work on the sequence-to-sequence learning algorithm and contributions to TensorFlow underscore his commitment to pushing AI’s boundaries. Keynote speeches at Nvidia Ntech 2018 and AI Frontiers Conference 2018 cement his status as a thought leader. Sutskever’s brilliance doesn’t go unnoticed.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Computer Science Computer Science 103

Dataconomy

MAY 29, 2023

Removing unwanted objects: You can now post the messy travel photo that you take 2018 In the digital age we live in now, the power of AI continues to amaze us. You don’t have to worry about that crowded travel photo you took in 2018. Simply fire up Photoshop and let the AI do its magic like the TikTok user below.

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AI AI Artificial Intelligence Artificial Intelligence 218

Hacker News

MAY 6, 2023

I first ran across the Dartmouth group photo in 2018, when I was gathering material for Ray’s memorial website. 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.

AI 149

AI AI Artificial Intelligence Artificial Intelligence 149

Data Science Dojo

JUNE 26, 2023

In order to learn the nuances of language and to respond coherently and pertinently, deep learning algorithms are used along with a large amount of data. The BERT algorithm has been trained on 3.3 A Google AI language model called Bidirectional Encoder Representations from Transformers (BERT) was introduced in 2018.

Deep Learning 195

Deep Learning Deep Learning Algorithm Artificial Intelligence 195

DataRobot Blog

APRIL 1, 2018

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. 2] Gartner, Five Reasons to Begin Converging Application and Data Integration , Published: 12 March 2015 Refreshed: 05 February 2018, Analyst(s): Eric Thoo | Keith Guttridge. [3]

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Analytics Analytics Data Preparation Augmented Analytics 40

Smart Data Collective

MARCH 8, 2021

The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. There are no universal algorithms for exploring data. According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years.

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Big Data Big Data Predictive Analytics Data Analysis 143

Smart Data Collective

OCTOBER 13, 2020

In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. They found that predictive analytics algorithms were using social media data to forecast asset prices. Do Predictive Analytics Algorithms Show that Altcoins Are Giving Bitcoin A Run for Its Money?

Predictive Analytics 121

Predictive Analytics Analytics Analytics Big Data 121

Towards AI

DECEMBER 28, 2023

Black box algorithms such as xgboost emerged as the preferred solution for a majority of classification and regression problems. Later, Python gained momentum and surpassed all programming languages, including Java, in popularity around 2018–19.

Natural Language Processing 122

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Smart Data Collective

APRIL 22, 2021

Some predictive analytics algorithms could even provide actionable insights based on this info, suggesting safety improvements teams would’ve otherwise missed. generated 600 million tons of construction and demolition debris in 2018. The sector accounted for 39% of energy-related carbon emissions globally in 2018.

Big Data 135

Big Data Big Data Big Data Analytics Big Data Analytics 135

Smart Data Collective

SEPTEMBER 30, 2022

The landscape of blockchain-driven solutions: from 2018 to 2022. In 2018-2019, budding blockchain-based advertising projects provided the first opportunity to buy clean and secure traffic, enriched with genuine data about ad campaign performance. Globally, ad fraud will most certainly cost advertisers $81 billion in 2022.

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Smart Data Collective

SEPTEMBER 11, 2020

The number of IoT devices is projected to skyrocket from 10 billion to 64 billion between 2018 and 2025. By mimicking human intelligence and analyzing data with inbuilt algorithms, this technology is revolutionizing users’ networking experience. AI has made it even more viable than ever.

Internet of Things 112

Internet of Things AI AI Artificial Intelligence 112

Data Science 101

APRIL 26, 2019

Go Machine Learning Projects (2018) – this book uses gonum and gorgonia in the examples Machine Learning with Go (2017). In short, Golang is not widely used for exploratory data science, but rewriting your algorithms in Golang might be a good idea. Golang Data Science Books. Thoughts from the Community.

Data Science 111

Data Science Machine Learning Machine Learning Python 111

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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