Smart Data Collective

JUNE 14, 2019

Video is one of the many technologies that is being shaped by new developments in artificial intelligence. Some of the changes artificial intelligence has brought are spooky, to say the least. Overall, we are excited about the implications of artificial intelligence for video.

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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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Pickl AI

JULY 24, 2024

Summary: The history of Artificial Intelligence spans from ancient philosophical ideas to modern technological advancements. This journey reflects the evolving understanding of intelligence and the transformative impact AI has on various industries and society as a whole.

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Smart Data Collective

FEBRUARY 3, 2022

The concept of artificial intelligence has been around for some time now, and there are major breakthroughs in AI technology. There are tons of devices that use artificial intelligence because there are tons of artificial intelligence companies that deal in many spheres. Investments in AI. Neural Networks.

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DeepMind

DECEMBER 22, 2020

In 2016, we introduced AlphaGo, the first artificial intelligence (AI) program to defeat humans at the ancient game of Go. Now, in a paper in the journal Nature, we describe MuZero, a significant step forward in the pursuit of general-purpose algorithms.

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Flipboard

APRIL 8, 2023

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) has assembled a year’s worth of AI data providing a comprehensive picture of today’s AI world, as they have done annually for six years. For those of you as eager to pour through the entire 2023 Artificial Intelligence Index Report as I was, you can dive in here.

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Dataconomy

MARCH 20, 2025

It’s not just a powerful tool; it’s a community-driven platform that continuously evolves to support a wide array of applications in artificial intelligence. Introduction and evolution of TPUs Initially developed for internal use in 2016, TPUs were made publicly available in 2018. What is TensorFlow?

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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.

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Pickl AI

APRIL 8, 2024

This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. 13 Biggest AI Failures: A Look at the Pitfalls of Artificial Intelligence Artificial intelligence (AI) has become a ubiquitous term, woven into the fabric of our daily lives.

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Data Science Dojo

SEPTEMBER 28, 2023

In the realm of artificial intelligence, LLMs have risen as titans, reshaping human-computer interactions, and information processing. In 2016, Microsoft launched a chatbot called Tay on Twitter. Read more –> Algorithmic biases – Is it a challenge to achieve fairness in AI?

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Smart Data Collective

FEBRUARY 4, 2021

Artificial intelligence has proven to be incredibly useful for companies in this industry. Machine learning algorithms make content personalization possible. Wix is a company that has been at the forefront of artificial intelligence technology in website design for years.

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NYU Center for Data Science

JULY 18, 2023

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. Read our research group roundup below and check out their linked websites for more information!

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Flipboard

JULY 14, 2023

LookX describes itself as the world's first artificial intelligence (AI) tool trained specifically for architects. Wanyu He co-founded the company in Shenzhen in 2016 under the name Xkool, along with former Google senior engineer Chun Li and crossover designer Xiaodi Yang.

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Smart Data Collective

MARCH 17, 2020

Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming. By 2016, everyone wanted to hire a data scientist, and everyone wanted to be a data scientist. Today, every programmer has to learn to develop apps that are artificially intelligent.

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BAIR

APRIL 6, 2023

In the last few years we have seen an exciting development in robotics and artificial intelligence: large fleets of robots have left the lab and entered the real world. Using this formalism, we can now instantiate and compare IFL algorithms (i.e., training of large models) to the cloud via the Internet.

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Dataconomy

DECEMBER 29, 2023

An AI influencer, or Artificial Intelligence influencer, is a digital entity generated through the fusion of advanced artificial intelligence (AI) and computer graphics technologies. Natural language processing (NLP) and machine learning algorithms can enhance the influencer’s ability to engage with users.

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Smart Data Collective

DECEMBER 19, 2019

Artificial Intelligence (AI) is always in the limelight from the last couple of years. In 2016, A Facebook bot tricked more than 10,000 Facebook users. AI algorithm learns from data pool – we already know that. Malicious Use of Artificial Intelligence. Lack of understanding the algorithm limitations.

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O'Reilly Media

APRIL 5, 2023

The notion that artificial intelligence will help us prepare for the world of tomorrow is woven into our collective fantasies. That’s because AI algorithms are trained on data. And it’s safe to say that most AI algorithms are trained on datasets that are significantly older. Your coat was red or blue.

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Dataconomy

JUNE 6, 2024

Crypto tokens, which are AI-specific, are created to support the development of artificial intelligence systems, applications, platforms, and networks. Bittensor (TAO) The world has witnessed remarkable growth in artificial intelligence (AI), which has tremendous potential to transform different fields of industries.

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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. The science behind Swarm Robotics The science behind swarm robotics is based on the principles of swarm intelligence.

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Smart Data Collective

AUGUST 12, 2019

Google is constantly developing new artificial intelligence algorithms to improve search engine results. John Giannandrea, the head of Google Search that was appointed in 2016, has stated that AI is the biggest disruptor in online search. The search engine optimization profession relies heavily on big data.

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Smart Data Collective

JULY 16, 2023

The utilization of massive datasets, coupled with advanced processing capabilities and artificial intelligence has transformed the landscape of trading, rendering traditional methods obsolete. Emotions, one of the biggest pitfalls of a trader, are eradicated as algorithmic trading takes the stage.

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Dataconomy

AUGUST 2, 2024

Crypto tokens, which are AI-specific, are created to support the development of artificial intelligence systems, applications, platforms, and networks. Bittensor (TAO) The world has witnessed remarkable growth in artificial intelligence (AI), which has tremendous potential to transform different fields of industries.

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AWS Machine Learning Blog

APRIL 7, 2025

billion, representing a significant increase of approximately 223% over the 7-year period. ### Net Income Growth | Year | Net Income (in billion USD) | | | | | 2014 | 0.236 | | 2015 | 0.596 | | 2016 | 2.37 | | 2017 | 3.03 | | 2018 | 10.07 | | 2019 | 11.59 | | 2020 | 18.68 | | 2021 | 33.4 | | 2022 | 18.7 billion to a projected $574.78

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Smart Data Collective

JULY 23, 2021

Artificial intelligence has played a very important role in modern cyber attacks. You can find numerous examples of this, such as the hacking attempts that it conducted against the United States during the 2016 Presidential Election. Many hackers are using both social engineering and A I to exploit targets more effectively.

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Smart Data Collective

APRIL 12, 2019

For those not in the know, Brexit started as the 2016 vote for the United Kingdom to leave the European Union for a whole host of reasons. Almost everyone has heard of Brexit, even if they aren’t directly feeling the change. The term has made news around the world almost immediately upon conception and hasn’t stopped circulating.

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PyImageSearch

NOVEMBER 13, 2023

One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al. Since then, the R-CNN algorithm has gone through numerous iterations, improving the algorithm with each new publication and outperforming traditional object detection algorithms (e.g.,

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Pickl AI

FEBRUARY 14, 2023

Artificial Intelligence (AI) has emerged as one of the most efficient technologies for business organizations within the last few years. According to the Ministry of Commerce, the number of startups in India has grown from 471 in 2016 to 72,993 in 2022. Artivatic.ai Artivatic.ai Therefore, Betterhalf.ai Wrapping Up!

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DrivenData Labs

MARCH 30, 2023

Modeling ¶ Most teams experimented with a variety of modeling algorithms, and many noted that the privacy techniques in their solutions could be paired with more than one family of machine learning models. Our team is driven by a shared vision that data is the ultimate source of power for artificial intelligence.

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Dataconomy

SEPTEMBER 18, 2023

This partnership between musicians and intelligent algorithms is a growing focus of inquiry for scholars, industry experts, and even recording labels. The AI song generator, for instance, offers intriguing avenues for crafting original compositions. Your track is ready for an encore.

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Heartbeat

FEBRUARY 2, 2024

Visual Question Answering (VQA) stands at the intersection of computer vision and natural language processing, posing a unique and complex challenge for artificial intelligence. It's remarkable diversity and scale position it as a cornerstone for evaluating and benchmarking VQA algorithms.

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How to Learn Machine Learning

OCTOBER 10, 2024

Training data is the data you use to train an algorithm or machine learning model The quality of this data has a great impact on the model’s subsequent development, setting a powerful precedent for all future applications that use the same training data. Machine learning algorithms rely heavily on the data they are trained on.

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AWS Machine Learning Blog

JULY 15, 2024

Video auto-dubbing that uses the power of generative artificial intelligence (generative AI ) offers creators an affordable and efficient solution. 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.

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Alation

FEBRUARY 13, 2020

It was probably a surprise to no one that artificial intelligence (AI) took center stage. By matching landmarks on the human face or identifying patterns in speech rate, pitch range, intensity, and voice quality, AI is able to detect human emotions — some algorithms can even detect 10-different emotions.

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IBM Journey to AI blog

MARCH 8, 2024

As the ecommerce market grows exponentially, six trends projected to heavily impact the global market are artificial intelligence (AI), augmented reality, live commerce, online-to-offline ecommerce, social commerce and voice assistants. Trend: Live commerce Live commerce originated in China.

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Heartbeat

AUGUST 23, 2023

Consider a scenario where legal practitioners are armed with clever algorithms capable of analyzing, comprehending, and extracting key insights from massive collections of legal papers. Algorithms can automatically detect and extract key items. But what if there was a technique to quickly and accurately solve this language puzzle?

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ODSC - Open Data Science

OCTOBER 4, 2024

His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, and deep reinforcement learning algorithms. His career has spanned both technology and government.

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