AI News

FEBRUARY 17, 2025

Automated document fraud detection powered by AI offers a proactive solution, letting businesses to verify documents in real-time, detect anomalies, and prevent fraud before it occurs. Intelligent document processing is an AI-powered technology that automates the extraction, classification, and verification of data from documents.

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Unite.AI

FEBRUARY 21, 2025

It uses advanced machine learning algorithms to match conference attendees, exhibitors, and sponsors based on their interests and goals. Organizers can leverage Grip to boost attendee engagement and satisfaction, as the algorithm delivers over 70 million personalized recommendations per year based on attendee behavior and profile data.

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Unite.AI

DECEMBER 23, 2024

The architecture of Scribenote centers on its automated documentation engine, which processes multilayered audio inputs through specialized AI systems designed for veterinary terminology. The system's AI extends beyond basic image analysis, incorporating specialized algorithms for automated cardiac measurements and vertebral heart scoring.

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Unite.AI

MARCH 5, 2025

While AI promises to revolutionize industries from automating routine tasks to providing deep insights through data analysis it also gives way to ethical dilemmas, bias, data privacy concerns, and even a negative return on investment (ROI) if not correctly implemented. The opportunity is great, but the risks are arguably greater.

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Unite.AI

JUNE 13, 2024

Protecting digital assets requires harnessing the power of AI and automation while ensuring skilled human analysts remain integral to the security posture. Leveraging AI and Automation Deploying AI and machine learning (ML) models tailored to each of these attack classes is critical for proactive threat detection and prevention.

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AI News

JUNE 3, 2024

By utilising sophisticated ML algorithms, we can predict market movements with high precision, allowing us to execute trades at optimal times. Deep learning, a subset of ML, plays a crucial role in our data analysis and decision-making processes. Our AI-driven approach extends beyond simple automation.

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ODSC - Open Data Science

JANUARY 24, 2023

Recently, we spoke with Josh Tobin, CEO & Founder of Gantry, about the concept of continual learning and how allowing models to learn & evolve with a continuous flow of data while retaining previously-learned knowledge can allow models to adapt and scale. What is continual learning?

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Unite.AI

FEBRUARY 17, 2025

Today, she receives prioritized alerts with automated research and suggested content that can generate SARs in minutes. With non-AI agents, users had to define what they had to automate and how to do it in great detail.

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Unite.AI

SEPTEMBER 12, 2023

Unlike traditional computer programs that are designed to follow a strict set of rules, AI systems learn from data and improve over time. You do not have to explicitly program an AI to navigate a maze; you can train it to learn how to do so by itself. And what about automated assessments ?

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Marktechpost

SEPTEMBER 3, 2023

Neuromodulators like dopamine, noradrenaline, serotonin, and acetylcholine work at many synapses and come from widely scattered axons of specific neuromodulatory neurons to produce global modulation of synapses during reward-associated learning.

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Unite.AI

JUNE 2, 2023

Key Features: Hyper-personalized follow-ups to increase response rates Email variation testing for continuous improvement Unified inbox for managing all accounts at one place Multiple account support for enhanced deliverability Scalable outreach with no additional cost 3.

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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

MARCH 27, 2024

Today, AI benefits from the convergence of advanced algorithms, computational power, and the abundance of data. Job displacement due to automation is a significant concern, with studies projecting up to 39 million Americans losing their jobs by 2030. Along the journey, many important moments have helped shape AI into what it is today.

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Unite.AI

OCTOBER 23, 2024

From automating content creation to providing support in healthcare, law, and finance, LLMs are reshaping industries with their capacity to understand and generate human-like text. This necessitates the development of more advanced algorithms that can handle targeted forgetting without significant resource consumption.

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BAIR

APRIL 6, 2023

Figure 1: “Interactive Fleet Learning” (IFL) refers to robot fleets in industry and academia that fall back on human teleoperators when necessary and continually learn from them over time. IFL scales up robot learning with four key components: On-demand supervision. Fleet supervision.

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Unite.AI

FEBRUARY 21, 2025

One of the most practical use cases of AI today is its ability to automate data standardization, enrichment, and validation processes to ensure accuracy and consistency across multiple channels. Leveraging customer data in this way allows AI algorithms to make broader connections across customer order history, preferences, etc.,

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Unite.AI

DECEMBER 10, 2024

While an AI tool might be utilised by a sales team to analyse customer data, they might use it to enhance pitches, and AI might automate the resume screening process for HR. Such spaces have the power to enable a culture of collaboration that helps drive continuous learning and iterative problem-solving.

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IBM Journey to AI blog

JANUARY 10, 2024

AI operates on three fundamental components: data, algorithms and computing power. Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. What is artificial intelligence and how does it work?

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Unite.AI

OCTOBER 9, 2024

These tools leverage advanced algorithms to create personalized, ATS-friendly cover letters in minutes, helping job seekers craft compelling narratives that resonate with employers while saving valuable time and effort. Artificial Intelligence is being integrated throughout the job application process, and cover letters are no exception.

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Unite.AI

OCTOBER 31, 2023

For project managers, GenAI can perform heavy lifting across various project activities including: automated report generation, timeline updates, data analysis, cost estimations, and more. Using GenAI to automate, assist and augment your project management capabilities requires new skills and a new mindset towards project work.

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AWS Machine Learning Blog

MARCH 18, 2025

With automated task prioritization and resource allocation in SageMaker HyperPod, they have seen a dramatic improvement in GPU utilization, reducing idle time and accelerating their model development process by optimizing tasks ranging from training and fine-tuning to inference.

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Unite.AI

SEPTEMBER 18, 2024

Automating Routine Tasks Sales professionals often spend a significant amount of time on repetitive tasks such as data entry, email management, and scheduling. AI can automate these tasks, freeing up sales representatives to focus on more strategic activities.

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Unite.AI

JUNE 19, 2024

In world of Artificial Intelligence (AI) and Machine Learning (ML), a new professionals has emerged, bridging the gap between cutting-edge algorithms and real-world deployment. CI/CD Pipelines : Setting up continuous integration and delivery pipelines to automate model updates and deployments.

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The MLOps Blog

FEBRUARY 22, 2024

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. What is continual learning?

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Unite.AI

JULY 25, 2023

An AI feedback loop is an iterative process where an AI model's decisions and outputs are continuously collected and used to enhance or retrain the same model, resulting in continuous learning, development, and model improvement. Bias & Fairness: AI models can develop bias and fairness issues.

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Pickl AI

MARCH 24, 2025

This blog will delve deeper into the concept of adaptive Machine Learning, its mechanisms, applications, and the future it holds for various industries. Key Takeaways Adaptive Machine Learning continuously learns from incoming data without manual retraining.

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Marktechpost

APRIL 16, 2024

Finance In finance, RL algorithms are revolutionizing investment strategies and risk management. Despite their potential, RL models in finance grapple with the uncertainties of financial markets and ethical concerns regarding automated trading systems. Smart Cities In urban planning, RL is used to optimize traffic management systems.

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Pickl AI

FEBRUARY 17, 2025

Summary: Machine Learning’s key features include automation, which reduces human involvement, and scalability, which handles massive data. Introduction: The Reality of Machine Learning Consider a healthcare organisation that implemented a Machine Learning model to predict patient outcomes based on historical data.

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Unite.AI

JULY 25, 2023

Known as “catastrophic forgetting” in AI terms, this phenomenon severely impedes the progress of machine learning , mimicking the elusive nature of human memories. This insight is pivotal in understanding how continual learning can be optimized in machines to closely resemble the cognitive capabilities of humans.

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Unite.AI

AUGUST 3, 2023

Our generative AI solution employs proprietary algorithms and machine learning techniques to streamline the creation of video-based standard operating procedures (SOPs), optimize workflows, and facilitate quick, efficient access to information via AI-driven chat features. It’s a thrilling journey.

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Unite.AI

JANUARY 5, 2024

What tasks could be automated and what AI tools align with your design goals? Continuous learning is the way to go. One of the most beneficial aspects of incorporating AI into a UX designer’s toolkit is the potential to automate routine tasks, thereby expediting their workflow. What are the limitations of AI?

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Unite.AI

JUNE 13, 2023

AI-powered code generators help streamline coding processes, automate routine tasks, and even predict and suggest code snippets. Continuous learning: GitHub Copilot learns from your coding style and habits, delivering personalized suggestions that improve over time.

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Unite.AI

AUGUST 24, 2023

However, with advancements in artificial intelligence and image recognition models, it is now possible to automate surface defect detection processes with greater accuracy and efficiency.

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Google Research AI blog

JUNE 23, 2023

An important algorithmic piece of cache management is the decision policy used for dynamically updating the set of items being stored, which has been extensively optimized over several decades, resulting in several efficient and robust heuristics. The eviction decisions rely on a filtering mechanism with two steps.

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Marktechpost

JANUARY 10, 2024

Automated Machine Learning (AutoML) has been introduced to address the pressing need for proactive and continual learning in content moderation defenses on the LinkedIn platform. It is a framework for automating the entire machine-learning process, specifically focusing on content moderation classifiers.

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Becoming Human

JUNE 5, 2023

Adaptive AI represents a breakthrough in artificial intelligence by introducing continuous learning capabilities. This adaptability is achieved through model retraining and continuous learning from newly obtained information. It mimics the human capacity to continuously acquire, refine, and transfer knowledge and skills.

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Unite.AI

OCTOBER 25, 2024

AI SDRs (Sales Development Representatives) have emerged as sophisticated systems that automate and enhance the traditional role of human SDRs, handling everything from initial prospecting and lead qualification to scheduling appointments and managing follow-ups.

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