Smart Data Collective

FEBRUARY 4, 2021

Machine learning is among the biggest disruptive technologies to ever impact the field of online commerce. What changes can many brands in the e-commerce sector expect to witness from new developments in big data and machine learning ? What are the benefits of using machine learning to help set up an online store?

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Flipboard

MAY 25, 2025

This study aimed to identify key predictors of CF and develop a machine learning-based model for CF risk assessment using data from 2404 community-dwelling older adults in the Korean Frailty and Aging Cohort Study (2016–2017).

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Smart Data Collective

AUGUST 12, 2019

However, Google isn’t the only company using AI and machine learning in search. John Giannandrea, the head of Google Search that was appointed in 2016, has stated that AI is the biggest disruptor in online search. Machine Learning is Changing the Art of Link building. SEO professionals are using AI as well.

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AWS Machine Learning Blog

DECEMBER 4, 2024

Prompt 2: Were there any major world events in 2016 affecting the sale of Vegetables? In April 2016, Morocco's innovative desert greenhouse project began operations, introducing new competition in the Mediterranean vegetable market and affecting prices in Southern Europe.

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Flipboard

APRIL 19, 2025

The most-cited scientific paper of the 21st century was written by four Chinese researchers in 2016, and it is on track to become the most-cited

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Hacker News

JULY 6, 2023

Originally published August 2016 Keith Adams worked on kernels at VM Ware. Then virtual machines. Then machine learning. Then search performance at Facebook. Then the HHVM implementation of PHP. Now [ed: then…] he’s Chief Architect at Slack. Keith is a Paint Drip Person.

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Flipboard

APRIL 10, 2025

Itwas 2016, and May Habib was in the most important meeting of her life. Businesses have poured millions into AI hoping for big returns in the future. This startup is saving them millions in labor costs today. The Lebanese-Canadian entrepreneur had just moved to San Francisco from Dubai and was

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Flipboard

MARCH 18, 2025

In 2016, three New York commodities traders Michael Intrator, Brian Venturo and Brannin McBee fell in love with CoreWeave, which provides computing power for A.I., was founded by three Bitcoin enthusiasts. The company is now set to make the first prominent A.I. initial public offering.

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Flipboard

JUNE 26, 2023

Demis Hassabis says the company is working on a system called Gemini that will tap techniques that helped AlphaGo defeat a Go champion in 2016.

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Algorithm Computer Science Computer Science Artificial Intelligence 181

Dataconomy

DECEMBER 21, 2016

From Decentralized Model Exchanges to Model Audit Trails [This is based on a talk I first gave on Nov 7, 2016. Here are the slides.] In recent years, AI (artificial intelligence) researchers have finally cracked problems that they’ve worked on for decades, from Go to human-level speech recognition. A key piece.

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Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

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Flipboard

NOVEMBER 18, 2024

In the 2016 science fiction movie Arrival, a linguist is faced with the daunting task of … Decoding emergent languages in AI can have many benefits.

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Flipboard

NOVEMBER 20, 2024

In 2016, Pokemon Go was about as wholesome as video games got, as it largely involved walking around your neighborhood and meeting up with strangers. One of the most popular mobile games is also an AI trainer. In 2024, nothing is allowed to be wholesome, apparently. Based on a blog post by developer …

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ML @ CMU

NOVEMBER 7, 2024

Since landmines are not used randomly but under war logic , Machine Learning can potentially help with these surveys by analyzing historical events and their correlation to relevant features.

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Flipboard

MARCH 28, 2025

Wise words from legendary Japanese filmmaker Hayao Miyazaki, whose comments on AI in 2016 I strongly feel that this is an insult to life itself."

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Dataconomy

FEBRUARY 26, 2024

Recall the historic Go match in 2016 , where AlphaGo defeated the world champion Lee Sedol ? GPUs: The versatile powerhouses Graphics Processing Units, or GPUs, have transcended their initial design purpose of rendering video game graphics to become key elements of Artificial Intelligence (AI) and Machine Learning (ML) efforts.

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Flipboard

OCTOBER 22, 2023

Back in 2016 I put a date on my greatest concerns, warning that we could achieve Artificial Superintelligence by 2030 and Sentient … Like many longtime technologists, I am deeply worried about the dangers of AI, both for its near-term risk to society and its long-term threat to humanity.

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Flipboard

DECEMBER 21, 2023

Arion Herbert and his wife, Erica, started their recreational sports-league business in 2016. What started off as a way to gather friends and family …

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Data Science Dojo

DECEMBER 8, 2023

Counting Shots, Making Strides: Zero, One and Few-Shot Learning Unleashed In the dynamic field of artificial intelligence, traditional machine learning, reliant on extensive labeled datasets, has given way to transformative learning paradigms. Welcome to the frontier of machine learning innovation!

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AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. Chakravarthy Nagarajan is a Principal Solutions Architect specializing in machine learning, big data, and high performance computing. billion to a projected $574.78

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Flipboard

NOVEMBER 17, 2024

Elon Musk's lawsuit against OpenAI has revealed a lot of juicy emails detailing the thoughts of the nonprofit's leadership.

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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 (..)

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Flipboard

MAY 13, 2025

Former Google CEO Eric Schmidt all but sketched the playbook for ChatGPT during a 2016 fireside chat at Startup Grind, arguing that the next tech

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How to Learn Machine Learning

OCTOBER 10, 2024

The quality of your training data in Machine Learning (ML) can make or break your entire project. This article explores real-world cases where poor-quality data led to model failures, and what we can learn from these experiences. Machine learning algorithms rely heavily on the data they are trained on.

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Flipboard

APRIL 8, 2023

And of all machine learning systems, language models are sucking up the most computing resources. Industry is also the place for new machine learning models With greater numbers of Ph.D.’s, s, it’s no surprise that industry has raced ahead of academia in producing new machine learning models.

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Flipboard

DECEMBER 11, 2024

First launched in 2016 But researchers at the University of Sydney say this autonomous robot is on its way to becoming the worlds first smart cow, able to make cattle farming more efficient and environmentally friendly.

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NYU Center for Data Science

JULY 18, 2023

Read about the research groups at CDS working to advance data science and machine learning! CDS includes a range of research groups that bring together NYU professors, faculty fellows, and PhD students working at various intersections of data science, machine learning, and artificial intelligence.

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Dataconomy

AUGUST 23, 2016

This is why Data Natives Tel Aviv 2016 will be. With more startups per capita than anywhere else in the world, Israel has gained the reputation of being a true “startup nation.” Yet with so many innovative startups, the competition remains tight to be accepted into leading startup accelerator programs.

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Alation

FEBRUARY 13, 2020

Human Curation + Machine Learning. The way Herschel, Fry, and Zimmerman talked about AI in many respects reflects our vision for machine learning data catalogs. What’s more, Zaidi and Gartner believe that this vision of a machine-learning-enabled data catalog creates real value for enterprises.

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AWS Machine Learning Blog

APRIL 2, 2024

Hugging Face, founded in 2016, is the premier AI platform with over 500,000 open source models and more than 100,000 datasets. She helps customers explore, evaluate, and adopt Amazon EC2 accelerated computing infrastructure for their machine learning needs.

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Flipboard

MARCH 7, 2023

AI is not a new thing for Salesforce, which has been working on its Einstein AI platform since 2016 as a tool to … Salesforce is doubling-down on its artificial intelligence (AI) efforts today by announcing a new partnership with OpenAI, alongside the launch of the Einstein GPT generative AI service.

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Flipboard

APRIL 24, 2025

He helps customers solve business challenges using artificial intelligence and machine learning, creating solutions ranging from traditional ML approaches to generative AI.

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Heartbeat

SEPTEMBER 13, 2023

This guide will buttress explainability in machine learning and AI systems. The explainability concept involves providing insights into the decisions and predictions made by artificial intelligence (AI) systems and machine learning models. What is Explainability?

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NYU Center for Data Science

AUGUST 16, 2024

“As an undergrad and grad student, that’s what I enjoyed learning about the most.” During his doctoral studies, Sah explored synthetic controls, which he characterizes as machine learning applied to causal inference. He’ll also be teaching an introductory data science course for non-majors.

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DagsHub

APRIL 7, 2024

Image generated with Midjourney In today’s fast-paced world of data science, building impactful machine learning models relies on much more than selecting the best algorithm for the job. Data scientists and machine learning engineers need to collaborate to make sure that together with the model, they develop robust data pipelines.

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Smart Data Collective

JUNE 14, 2019

In 2016, this was demonstrated by IBM when they developed a new machine learning algorithm to edit the video footage for the trailer for the upcoming horror film Morgan. The machine learning algorithms were able to process the steps in a much more systematic way than a human editor would have been able to.

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DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. What motivated you to participate?

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