Unite.AI

JANUARY 6, 2025

During the 2016 U.S. The same year, the Brexit referendum in the UK was overshadowed by accountsmany automated pumping out polarizing narratives to influence public opinion. 2016: A Turning Point with Global Election Interference During the 2016 U.S. Presidential Election , troll farms and bot networks took center stage.

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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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Algorithm Automation AI Researcher AI Research 302

Unite.AI

JUNE 17, 2024

Pascal Bornet is a pioneer in Intelligent Automation (IA) and the author of the best-seller book “ Intelligent Automation.” He is regularly ranked as one of the top 10 global experts in Artificial Intelligence and Automation. It's true that the specter of job losses due to AI automation is a real fear for many.

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Unite.AI

FEBRUARY 13, 2024

According to some of the latest public data, over $509 billion of counterfeit products were traded internationally in 2016. One research team developed an algorithm capable of telling them apart 98% of the time on average. In fact, 23% of warehouse administrators intended to adopt automation technologies in 2019.

Machine Learning 305

Machine Learning AI AI Natural Language Processing 305

Unite.AI

MAY 27, 2024

Another notable instance of financial fraud occurred in February 2016, when hackers targeted the central bank of Bangladesh and exploited vulnerabilities in SWIFT, attempting to steal USD one billion. It resulted in billions of dollars in losses for investors and exposed vulnerabilities in traditional financial oversight methods.

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Unite.AI

MAY 14, 2024

Initially, campaigns relied on simple online banners and email outreach, but as technology evolved, AI algorithms began analyzing extensive data to tailor messages to individual voters. Machine learning algorithms analyze voter behavior, preferences, and sentiments to tailor messages effectively.

Algorithm 214

Algorithm Chatbots Machine Learning AI 214

BAIR

APRIL 6, 2023

This approach is known as “Fleet Learning,” a term popularized by Elon Musk in 2016 press releases about Tesla Autopilot and used in press communications by Toyota Research Institute , Wayve AI , and others. Using this formalism, we can now instantiate and compare IFL algorithms (i.e., Fleet supervision.

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Robotics Algorithm Continuous Learning Artificial Intelligence 246

AI News

AUGUST 29, 2023

In 2016, Gartner assessed it at only 15%. And everybody agrees that in production, this should be automated.” They’re a really good example of somebody who has used orchestration and automation with Control-M as a strategic option for them,” adds Faruqui.

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Data Ingestion Big Data Explainability ETL 235

AWS Machine Learning Blog

APRIL 7, 2025

Enhanced Customer Experience through Automation and Personalization**: - **Automated Customer Support**: LLMs can power chatbots and virtual assistants that provide 24/7 customer support. Here are three key benefits: 1. They can also assist in the creation of compliance reports and documentation, reducing the risk of human error.

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Machine Learning Large Language Models Python Automation 100

Unite.AI

NOVEMBER 29, 2023

AI watchdogs are automated systems that employ AI technologies to monitor, analyze, and regulate specific activities or domains with ethical considerations. Looking back at the recent past, the 2016 US presidential election result makes us explore what influenced voters' decisions.

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Unite.AI

SEPTEMBER 12, 2023

My team’s focus has been the application of algorithms, machine learning and software tools building for the analysis of large-scale genomic and biomolecular data. I left Stanford in 2016 to lead a research and technology development team at Illumina. Since then, I have enjoyed leading R&D teams in industry.

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Machine Learning LLM Data Analysis Data Science 299

IBM Journey to AI blog

SEPTEMBER 11, 2023

Benefits Present Value (PV) of $3.43M and Net Present Value (NPV) of $2.42M Three-year benefits include higher growth through better customer experience of $1.76M , automation-driven productivity gains of $1.20M , and data-driven operational improvements of $473K What is IBM Db2 (LUW)?

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Machine Learning Data Ingestion Automation Data Scientist 253

Unite.AI

JULY 8, 2024

Prior to Zingtree, Brandon led Product, User Experience and Analytics at SportsEngine, a B2B and B2B2C SaaS company which was acquired by NBC Sports in 2016. Zingtree is the AI enabled CX automation platform that helps B2C enterprises automate actions, self-service and agent effectiveness.

Automation 130

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Flipboard

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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Large Language Models Machine Learning Artificial Intelligence Artificial Intelligence 182

Unite.AI

FEBRUARY 23, 2024

Back in 2016, after a couple of years working as a Product Engineer, I started to entertain the idea of a startup as a technical co-founder. In order to do this, we employ a series of proprietary algorithms to analyze the top-ranking articles to determine how they got there. This is something that we have in our roadmap for the future.

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IBM Journey to AI blog

MARCH 8, 2024

Digital optimization and automation tools have made it cheaper and easier for businesses to use customer data or third-party data, creating intelligent ecommerce sites. Just six years after it emerged in 2016, the industry was projected to bring in USD 647 billion in the country. Trend: Live commerce Live commerce originated in China.

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Unite.AI

DECEMBER 11, 2024

The Intersection of AI in Art and Creativity AI has changed the world of art by boosting creativity, automating processes, and generating unique works. When AI in Art Gets Noticed Artists like Memo Akten and Mike Tyka used the DeepDream algorithm to create art. They presented it at a gallery in San Francisco in 2016.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

There are various techniques of preference alignment, including proximal policy optimization (PPO), direct preference optimization (DPO), odds ratio policy optimization (ORPO), group relative policy optimization (GRPO), and other algorithms, that can be used in this process.

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LLM AI AI Data Scientist 76

Viso.ai

DECEMBER 3, 2023

This article will provide an introduction to object detection and provide an overview of the state-of-the-art computer vision object detection algorithms. The recent deep learning algorithms provide robust person detection results. Detecting people in video streams is an important task in modern video surveillance systems.

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Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

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.

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Computer Vision Deep Learning Categorization Algorithm 98

Unite.AI

AUGUST 1, 2024

How does Secure Redact leverage AI to automate the redaction of personal and sensitive data in video footage? These deep learning algorithms are trained on domain-specific videos from sources like CCTV, body-worn cameras, and road survey footage. Pimloc’s AI models accurately detect and redact PII even under challenging conditions.

Machine Learning 147

Machine Learning Deep Learning Automation Computer Vision 147

Unite.AI

AUGUST 5, 2024

I received my masters in Civil/Environmental Engineering from Stanford University in 2016. We use three main different types of algorithms: image clustering, segmentation, and anomaly detection. PowerAI uses computer vision and machine learning to automate a huge portion of the fault detection process.

Machine Learning 147

Machine Learning Artificial Intelligence Artificial Intelligence Computer Vision 147

Marktechpost

JULY 17, 2023

With cameras, data, and algorithms instead of retinas, optic nerves, and the visual cortex, computer vision teaches computers to execute similar tasks in much less time. The algorithm, for instance, can identify a dog among all the items in the image. Identification of the item.

Computer Vision 98

Computer Vision Neural Network Machine Learning Deep Learning 98

Marktechpost

SEPTEMBER 1, 2023

This can be accomplished in several ways, such as by employing neural networks to create entirely unique music or utilizing machine learning algorithms to assess existing music and produce new compositions in a similar style. AIVA, built in 2016, is another outstanding AI music creator consistently attracting notice.

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Neural Network Machine Learning AI AI 109

Unite.AI

FEBRUARY 16, 2024

For example, see Face-to-Face Interaction with Pedagogical Agents, Twenty Years Later , a 2016 article that overviews the field and cites a lot of the relevant material. Buddy can help teachers automate the mundane part of their job – providing regular practice. Buddy works to help teachers, not to replace them.

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Natural Language Processing UX Design AI AI 173

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.

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Artificial Intelligence Artificial Intelligence Algorithm AI 52

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.

Data Science 52

Data Science Machine Learning Neural Network Software Engineer 52

AWS Machine Learning Blog

JULY 15, 2024

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. Cloud Engineer specializing in developing cloud native solutions and automation. Marco Mercado is a Sr. Cristian Torres is a Sr.

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Big Data Big Data Engineer Generative AI ML 110

Unite.AI

OCTOBER 27, 2023

It is applied to predict the efficiency of developed products, automate assembly lines, reduce rejects, improve logistics, and prevent downtime. Nowadays, the efforts to create digital platforms for public services and automate many processes related to decision-making by government agencies are being intensified.

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Artificial Intelligence Artificial Intelligence Robotics Neural Network 182

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. aims to build advanced insurance products and solutions for simplifying risk assessment, process automation and digitalisation to enable access to insurance. Artivatic.ai Artivatic.ai Therefore, Betterhalf.ai

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Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., Understanding the robustness of image segmentation algorithms to adversarial attacks is critical for ensuring their reliability and security in practical applications.

Deep Learning 52

Deep Learning Computer Vision Machine Learning Algorithm 52

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. NLP enables legal professionals to quickly organize and prioritize information by automating the procedures of document classification and grouping.

NLP 52

NLP Natural Language Processing Algorithm Categorization 52

Viso.ai

OCTOBER 7, 2024

billion tons of municipal solid waste was generated globally in 2016 with experts predicting a steep rise to 3.40 For truly solving real-world scenarios, organizations require more than just a computer vision tool or algorithm. These systems coordinate sensors and visual algorithms to monitor garbage levels.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Robotics 52

AWS Machine Learning Blog

NOVEMBER 9, 2023

This retrieval can happen using different algorithms. He joined Amazon in 2016 as an Applied Scientist within SCOT organization and then later AWS AI Labs in 2018 working on Amazon Kendra. He is a recipient of the Google faculty award (2015), ACM SIGSOFT Distinguished paper award (ISSTA 2016) and Maurice Halstead award (Purdue 2006).

Natural Language Processing 96

Natural Language Processing NLP Large Language Models LLM 96

Viso.ai

DECEMBER 6, 2024

Advanced driver assistance systems (ADAS) and automated driving systems (ADS) are both new forms of driving automation. Levels of Automation in Vehicles – Source Here we present the development timeline of the autonomous vehicles. 2016) introduced a unified framework to detect both cyclists and pedestrians from images.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 52

TransOrg Analytics

MAY 27, 2024

Chatbots automate repetitive activities, distributing the burden and boosting efficiency. million US dollars in 2016 and is expected to grow to 1250 million US dollars in 2025. TransOrg ensured clean data to be fed into the chatbot’s algorithms to enhance the model’s responses. The Chatbot market is increasing every year.

LLM 52

LLM Chatbots Continuous Learning Natural Language Processing 52

AWS Machine Learning Blog

JANUARY 17, 2024

After you’re in SageMaker Studio, you can access SageMaker JumpStart, which contains pre-trained models, notebooks, and prebuilt solutions, under Prebuilt and automated solutions. He retired from EPFL in December 2016.nnIn He focuses on developing scalable machine learning algorithms.

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