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Data Science Dojo
SEPTEMBER 7, 2023
Just like people, Algorithmic biases can occur sometimes. AI algorithms are used to make decisions about everything from who gets a loan to what ads we see online. However, AI algorithms can be biased, which can have a negative impact on people’s lives. Thinking why? Well, think of AI as making those characters.
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Hacker News
JANUARY 31, 2024
An interactive exploration of the map generation algorithm behind @unchartedatlas.
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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
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.
180 The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
DataRobot
AUGUST 16, 2021
But as the technology’s popularity grows, a number of concerning examples have emerged of AI models operating with algorithmic bias. Algorithmic bias can appear in both supervised and unsupervised AI models. Algorithmic bias can appear in both supervised and unsupervised AI models.
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Towards AI
MARCH 22, 2024
I am fascinated by websites like fivethirtyeight.com, — I spent hours glued to their polling and predictive statistics leading up to the 2016 and 2020 US elections (boy, they sure got it wrong in 2016, eh?). Isn’t AI just great for this sort of analysis?
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Dataconomy
AUGUST 26, 2016
Together with his team he is developing robust, fast and intelligent algorithms and is applying modern machine learning methods for analyzing large datasets. The post Speaker Spotlight: Q&A With Dr. Stefan Kühn – Data Natives Berlin 2016 appeared first on Dataconomy.
Dataconomy
FEBRUARY 13, 2024
All details about the Amazon Buy Box lawsuit This class-action suit focuses on the manipulation of Amazon’s “Buy Box” feature, where an item’s page includes a “Buy Now” or “Add to Cart” prompt, purportedly driven by a biased algorithm.
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Dataconomy
AUGUST 11, 2017
In 2016, Google’s net worth was reported to be $336 billion, and this is largely due to the advanced learning algorithms the company employs. Google was the first company to realize the importance of incorporating machine learning in business processes. And the technology powerhouse doesn’t stop at any given point; it keeps.
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Dataconomy
FEBRUARY 26, 2024
Recall the historic Go match in 2016 , where AlphaGo defeated the world champion Lee Sedol ? This attribute is particularly beneficial for algorithms that thrive on parallelization, effectively accelerating tasks that range from complex simulations to deep learning model training.
DECEMBER 21, 2023
Researchers analyzed aspects of a persons life story between 2008 and 2016, with the model seeking patterns in the data. Then, they used the algorithm to determine whether someone had died by 2020.The The tool can also determine how much money you'll have when your time comes.
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.
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.
Data Science Dojo
SEPTEMBER 28, 2023
In 2016, Microsoft launched a chatbot called Tay on Twitter. Read more –> Algorithmic biases – Is it a challenge to achieve fairness in AI? This involves reviewing training data for biases, diversifying training datasets, and implementing algorithms that reduce biased outputs.
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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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Dataconomy
APRIL 18, 2023
Additionally, it is crucial to comprehend the fundamental concepts that underlie AI, including neural networks, algorithms, and data structures. AI systems use a combination of algorithms, machine learning techniques, and data analytics to simulate human intelligence. What is artificial intelligence?
NYU Center for Data Science
JULY 18, 2023
The group was first launched in 2016 by Associate Professor of Computer Science, Data Science and Mathematics Joan Bruna , and Associate Professor of Mathematics and Data Science and incoming CDS Interim Director Carlos Fernandez-Granda with the goal of advancing the mathematical and statistical foundations of data science.
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Mlearning.ai
APRIL 10, 2023
3 feature visual representation of a K-means Algorithm. Essentially, the clustering algorithm is grouping data points together without any prior knowledge or guidance to discover hidden patterns or unusual data groupings without the need for human interference.
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IBM Journey to AI blog
SEPTEMBER 11, 2023
IBM and AWS have been working together since 2016 to provide secure, automated solutions for hybrid cloud environments. Data is the fuel that powers AI algorithms, enabling them to generate insights, predictions, and solutions that drive businesses forward.
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DataRobot
JULY 29, 2021
The research paper “ Cooperating with Machines ” describes the results of research into how algorithms can “cooperate with people and other algorithms at levels that rival human cooperation.” The proactive AI system was able to double the level of mutual cooperation it achieved versus the black-box algorithm.
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Smart Data Collective
SEPTEMBER 7, 2021
In dynamic pricing strategy, algorithms examine competitor’s pricing and inventory current levels and select the best price that allows retail industry players to stay competitive and gain profit. This global coffee brand has increased its revenue by 26% from 2016 to 2019. However, this process can be automated. Source: ELEKS.
125 
APRIL 8, 2023
With use comes abuse Using data from the AI, Algorithmic, and Automation Incidents and Controversies ( AIAAIC) Repository , a publicly available database, the AI Index reported that the number of incidents concerning the misuses of AI is shooting up.
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Smart Data Collective
JULY 16, 2023
For example, due to computerization and algorithmic trading, Goldman Sachs decreased the number of people trading stocks from 600 to 2, from 2000 to 2016. Emotions, one of the biggest pitfalls of a trader, are eradicated as algorithmic trading takes the stage.
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Smart Data Collective
FEBRUARY 23, 2023
The learning potential of deep learning was further demonstrated by AlphaGo in 2016 and, today, it is used increasingly to create high level software engineering (SE) tools. Deep learning is achieved when data is run through layers of neural network algorithms.
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?
Towards AI
JULY 19, 2023
Basically crack is a visible entity and so image-based crack detection algorithms can be adapted for inspection. Deep learning algorithms can be applied to solving many challenging problems in image classification. Deep learning algorithms can be applied to solving many challenging problems in image classification. Adhikari, O.
Data Science Dojo
SEPTEMBER 15, 2023
AI hallucinations: When language models dream in algorithms. Inaccuracies span a spectrum, from odd and inconsequential instances—such as suggesting the Golden Gate Bridge’s relocation to Egypt in 2016—to more consequential and problematic scenarios.
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Heartbeat
FEBRUARY 2, 2024
The significance of VQA extends beyond traditional computer vision tasks, requiring algorithms to exhibit a broader understanding of context, semantics, and reasoning. It's remarkable diversity and scale position it as a cornerstone for evaluating and benchmarking VQA algorithms.
Smart Data Collective
FEBRUARY 3, 2022
This is almost 20 billion more than the previous year and over 50 billion than in 2016. Human error reduction : AI algorithms are often used to predict if an error in processes and operations is going to occur, and when it’s going to occur. They are AI algorithms designed to mimic a network of neurons that we have in our brain.
JULY 14, 2023
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. LookX develops algorithms to quickly generate, evaluate, and recommend schemes for architects that take account of local regulatory requirements while providing real-time cost analysis.
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Smart Data Collective
MAY 21, 2019
In 2016, cyber-attacks cost the United States economy between $57 billion and $109 billion. There are several ways that predictive analytics is helping organizations prepare for these challenges: Predictive analytics models are helping organizations develop risk scoring algorithms. Cybersecurity is becoming a greater concern than ever.
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Pickl AI
FEBRUARY 14, 2023
According to the Ministry of Commerce, the number of startups in India has grown from 471 in 2016 to 72,993 in 2022. Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai Artivatic.ai Artivatic.ai Therefore, Betterhalf.ai
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Dataconomy
FEBRUARY 22, 2023
The decisive victory comes seven years after the AI system AlphaGo, devised by Google-owned research company DeepMind, defeated the world Go champion Lee Sedol by four games to one in 2016. In finance, machine learning algorithms can be used to predict stock prices and other financial indicators.
O'Reilly Media
APRIL 23, 2024
Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?
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Alation
FEBRUARY 13, 2020
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. AI is not a fad, algorithmic decision-making is inevitable. Human Curation + Machine Learning.
Smart Data Collective
FEBRUARY 4, 2021
Machine learning algorithms make content personalization possible. A post from Wix back in 2016 talks about some of the benefits of their machine learning solutions: “So many people are talking about ‘Artificial Intelligence’ – but what does it mean for website design?
Dataconomy
JUNE 15, 2023
Aristotle’s ideas on logic and rationality have influenced the development of algorithms and reasoning systems in modern AI, creating the foundation of the timeline of artificial intelligence. In 2016, Google’s AI AlphaGo defeated Lee Sedol and Fan Hui, the European and world champions in the game of Go.
AWS Machine Learning Blog
MARCH 28, 2024
News CommonCrawl is a dataset released by CommonCrawl in 2016. News CommonCrawl SEC Filing Coverage 2016-2022 1993-2022 Size 25.8 billion words The authors go through a few extra preprocessing steps before the data is fed into a training algorithm. Publicly listed companies are required to file various documents regularly.
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Towards AI
JULY 18, 2023
Algorithms also refer back to reviews to determine a product’s ranking in a category. Confirming this fact, a 2016 study by Luca estimated that a one-star addition to a Yelp rating leads to a 5–9% increase in revenue. Unethical practices or even just rumors can get you canceled overnight. Still not convinced?
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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. However, Google isn’t the only company using AI and machine learning in search.
Smart Data Collective
MARCH 22, 2019
In 2016, household incomes rose enough for families to buy a home that was 1.5 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%. times the median home price. Accurate Property Evaluations.
68 Smart Data Collective
SEPTEMBER 13, 2019
The Guardian mentions the scandal, where analytics research group Cambridge Analytica is reported as harvesting millions of users’ data to influence the 2016 election outcome. define social media mining as a series of algorithms and concepts that can be used to investigate the massive amount of data contained in social media.
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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. Its primary focus is to use user-generated data to good use. Sexiest Job of 21 st Century.
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Smart Data Collective
MAY 17, 2021
Companies like Google and Facebook soared to new heights due to the data we provided in exchange for “free” digital products, while their personalization algorithms started to shape our thoughts, feelings, tastes, political opinions, and even democracies. The GDPR was necessary precisely because of technological advancements.
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Dataconomy
DECEMBER 29, 2023
Launched in 2016 as an Instagram profile, Lil Miquela has since expanded her presence to TikTok and has amassed millions of followers on both platforms. Natural language processing (NLP) and machine learning algorithms can enhance the influencer’s ability to engage with users.
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