AI News

JUNE 3, 2024

delivers accurate and relevant information, making it an indispensable tool for professionals in these fields. Harnessing the Power of Machine Learning and Deep Learning At TickLab, our innovative approach is deeply rooted in the advanced capabilities of machine learning (ML) and deep learning (DL).

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Unite.AI

OCTOBER 23, 2024

LLMs are trained on large datasets that contain personal and sensitive information. One emerging solution to address these concerns is LLM unlearning —a process that allows models to forget specific pieces of information without compromising their overall performance. They can reproduce this data if prompted in the right way.

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Marktechpost

JULY 9, 2024

Furthermore, many applications now need AI algorithms to adapt to individual users while ensuring privacy and reducing internet connectivity. One new paradigm that has emerged to meet these problems is continuous learning or CL. This algorithm has proven to reach state-of-the-art classification accuracy on CNNs.

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Unite.AI

FEBRUARY 21, 2025

Akeneo is the product experience (PX) company and global leader in Product Information Management (PIM). How is AI transforming product information management (PIM) beyond just centralizing data? Akeneo is described as the “worlds first intelligent product cloud”what sets it apart from traditional PIM solutions?

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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

DECEMBER 10, 2024

An AI knowledge base might allow continuous access to training materials, thereby allowing the reinforcement of learning and building the skills over time within the employees. The resources will help employees independently access information and integrate AI at their comfort and pace.

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Unite.AI

NOVEMBER 11, 2024

Our team maintains its technological edge through continuous learning and the participation in leading AI conferences. Our team continuously evolves how we leverage data, whether it is through more efficient mining of the data we have access to or augmenting the data with state-of-the-art generation technology.

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Towards AI

JANUARY 21, 2025

This persistence would enable the continuous development of contextual awareness through memory, and thus the accumulated experience which is its outcome can inform and refine ongoing interactions. Persistence and continuous learning are obviously not requirements or even desirable features for all use cases.

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Unite.AI

MAY 31, 2023

A neural network (NN) is a machine learning algorithm that imitates the human brain's structure and operational capabilities to recognize patterns from training data. Since LLM neurons offer rich connections that can express more information, they are smaller in size compared to regular NNs.

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Unite.AI

SEPTEMBER 12, 2023

Schools are utilizing AI algorithms to automate everything from attendance tracking to identifying students at risk of falling behind. Based on this data, AI can identify strengths and weaknesses, learning styles, and preferences. Continuous Learning AI tools are continuously updated and improved.

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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

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. Typically, users give their feedback on the model outcome, which is then used for retraining.

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Unite.AI

JUNE 2, 2023

In the age of information overload, managing emails can be a daunting task. EmailTree is also renowned for its ability to extract relevant information from complex emails and integrate them into your existing business workflow. The system continuously learns from user behavior, improving its performance over time.

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Unite.AI

JANUARY 17, 2025

AI-powered algorithms also help retailers determine the most effective in-store advertising locations. Continuous Learning and Optimization of In-Store By leveraging AI, retailers can continuously refine their strategies to create more effective advertising campaigns in physical stores.

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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. On-Demand Learning : Convenience is king!

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Unite.AI

JUNE 15, 2023

By exploring these elements, individuals considering a career in NLP can make informed decisions about their future and understand the steps required to excel as an NLP Engineer. This requires a deep understanding of machine learning techniques, linguistic concepts, and relevant programming languages.

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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. Likewise, ethical considerations, including bias in AI algorithms and transparency in decision-making, demand multifaceted solutions to ensure fairness and accountability.

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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

SEPTEMBER 4, 2024

Our multi-layered approach combines proprietary algorithms with third-party data to stay ahead of evolving fraud tactics. The Dynamic Multi-object Bid Optimizer is a sophisticated system that goes beyond traditional bid shading algorithms. These signals provide valuable targeting information without requiring personal data.

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Unite.AI

JUNE 10, 2024

Healthcare : Digital humans provide support in healthcare by facilitating communication that is not only informative but also empathetic. At its core lies deep learning, a form of artificial intelligence that allows these entities to continuously learn and improve. This goes beyond just the literal meaning of words.

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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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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

APRIL 29, 2024

AI systems, informed by behavioral insights, can guide financial analysts away from biased conservative strategies, propel HR platforms to counteract unconscious bias in recruitment, implement marketing campaigns based on patterns influenced by behavioral tendencies, and much more.

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Unite.AI

FEBRUARY 17, 2025

But applications combining predictive, generative, and soon agentic AI with specialized vertical knowledge sources and workflows can pull information from disparate sources enterprise-wide, speed and automate repetitive tasks, and make recommendations for high-impact actions.

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BAIR

JANUARY 20, 2023

Can we instead devise reinforcement learning systems for robots that allow them to learn directly “on-the-job”, while performing the task that they are required to do? In this blog post, we will discuss ReLMM, a system that we developed that learns to clean up a room directly with a real robot via continual learning.

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NYU Center for Data Science

JANUARY 22, 2025

Large language models forget how to interpret new information accurately, even when provided with the most up-to-date context. The researchers found that language models performance declined by approximately 20% when making predictions about recent events, compared to their accuracy on older information.

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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

SEPTEMBER 18, 2024

AI-driven lead scoring systems use algorithms to evaluate the likelihood that a lead will convert based on behaviour, demographics, and interactions. AI systems continuously learn and improve by analysing outcomes and adjusting their algorithms, ensuring the lead-scoring process remains accurate and relevant.

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Towards AI

OCTOBER 3, 2024

Yet, despite these advancements, AI still faces significant limitations — particularly in adaptability, energy consumption, and the ability to learn from new situations without forgetting old information. Neuromorphic chips process information in an inherently energy-efficient manner by emulating neural structures.

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Aiiot Talk

JULY 24, 2024

Traditional methods often miss the subtle shifts in investor attitudes, making it hard to make informed decisions. However, analysis without AI-driven tools takes time and may cause you to miss valuable information and investment opportunities. Everything moves quickly, so timely and precise information is key to improving outcomes.

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Unite.AI

AUGUST 24, 2023

With continuous learning and improvement, these systems can evolve to handle complex defect patterns and provide increasingly reliable and efficient quality control. It consists of an encoder pathway to capture contextual information and a symmetric decoder pathway to recover spatial details.

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Pickl AI

FEBRUARY 17, 2025

These figures underscore the pressing need for awareness and solutions regarding the challenges faced by Machine Learning professionals. Key Takeaways Data quality is crucial; poor data leads to unreliable Machine Learning models. Algorithmic bias can result in unfair outcomes, necessitating careful management.

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Marktechpost

APRIL 16, 2024

Reinforcement Learning (RL) is expanding its footprint, finding innovative uses across various industries far beyond its origins in gaming. Finance In finance, RL algorithms are revolutionizing investment strategies and risk management. Algorithmic Trading: Executing high-speed trades based on learned strategies from vast market data.

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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. Staying Up-to-Date and Continuous Learning The field of AI and ML is rapidly evolving, with new technologies, tools, and best practices emerging continuously.

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IBM Journey to AI blog

AUGUST 7, 2023

In this article, we outline how biopharma companies can potentially harness an AI-driven approach to make informed decisions based on evidence and increase the likelihood of success of a clinical trial site. AI can also empower trial managers and executives with the data to make strategic decisions.

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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. The inability to adapt to new data streams has been a significant limitation of ML models.

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Aiiot Talk

JUNE 27, 2024

Recently, machine learning (ML) integration has revolutionized CRM because it brings a new level of sophistication to customer engagement. ML algorithms analyze vast amounts of data, uncover patterns and provide actionable insights, allowing you to predict consumer behaviour, personalize interactions, and automate routine tasks.

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