Unite.AI

DECEMBER 26, 2024

AI is being applied to a wide range of the worlds problems among them, keeping the elderly safe as they age. AI is behind numerous technologies that enable seamless, accurate, and personalized monitoring, allowing seniors to age at home confidently and safely. Fortunately, Artificial Intelligence can help meet this challenge.

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Unite.AI

DECEMBER 23, 2024

The veterinary field is undergoing a transformation through AI-powered tools that enhance everything from clinical documentation to cancer treatment. Scribenote Scribenote is an AI-powered clinical documentation system where machine learning processes veterinary conversations in real-time to generate comprehensive medical records.

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Unite.AI

NOVEMBER 5, 2024

What role does AI play in the operation of your robotics systems? How do features like continuous learning and adaptability enhance their performance? AI plays a fundamental role in Smart Robotics' robotic systems by enabling robots to autonomously navigate complex logistics tasks.

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Towards AI

NOVEMBER 8, 2024

Originally published on Towards AI. Supervised Learning: Train once, deploy static model; Contextual Bandits: Deploy once, allow the agent to adapt actions based on content and its corresponding reward. This blog explores the differences between supervised learning and contextual bandits. Published via Towards AI

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Unite.AI

NOVEMBER 11, 2024

Alix Melchy is the VP of AI at Jumio, where he leads teams of machine learning engineers across the globe with a focus on computer vision, natural language processing and statistical modeling. Jumio provides AI-powered identity verification, eKYC, and compliance solutions to help businesses protect against fraud and financial crime.

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AI News

JUNE 3, 2024

TickLab , founded by visionary CTO Yasir Albayati, is at the forefront of innovation in the financial sector, specialising in deploying advanced decentralised AI into finance. an AI language model meticulously developed and trained by TickLab.IO. Unlike other AI models like ChatGPT, Bard, or Grok, E.D.I.T.H.

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Unite.AI

JANUARY 31, 2025

Imagine an Artificial Intelligence (AI) system that surpasses the ability to perform single tasksan AI that can adapt to new challenges, learn from errors, and even self-teach new competencies. This framework tests whether AI systems can think, adapt, and reason similarly to humans.

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Unite.AI

OCTOBER 23, 2024

The rapid development of Large Language Models (LLMs) has brought about significant advancements in artificial intelligence (AI). This necessitates the development of more advanced algorithms that can handle targeted forgetting without significant resource consumption. This is where unlearning becomes essential.

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Unite.AI

DECEMBER 10, 2024

From sales and customer service to content creation, integration of generative AI into modern workplaces is nothing short of transformational. Generative AI is not only increasing productivity; it is changing the very way we do creativity and efficiency.

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Towards AI

JANUARY 29, 2025

Last Updated on January 29, 2025 by Editorial Team Author(s): Vishwajeet Originally published on Towards AI. How to Become a Generative AI Engineer in 2025? From creating art and music to generating human-like text and designing virtual worlds, Generative AI is reshaping industries and opening up new possibilities.

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Marktechpost

JULY 9, 2024

Advances in hardware and software have enabled AI integration into low-power IoT devices, such as ultra-low-power microcontrollers. Additionally, edge AI models can face errors due to shifts in data distribution between training and operational environments. Also, don’t forget to follow us on Twitter.

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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

SEPTEMBER 12, 2023

Imagine having a smart tool that understands each student's learning style, keeps track of their strengths and weaknesses, and personalizes educational content in real time. AI could be that dynamic teaching assistant, the one that adapts, learns, and evolves just like a human, or maybe even better. Keep reading!

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Unite.AI

OCTOBER 20, 2023

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency. In 2022, companies had an average of 3.8

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Unite.AI

MARCH 27, 2024

Artificial Intelligence (AI) has emerged as a transformative force, shaping industries and challenging traditional notions of work and human relevance. AI has come a long way since its beginnings in the mid-20th century. Along the journey, many important moments have helped shape AI into what it is today.

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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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Towards AI

JANUARY 21, 2025

Author(s): James Cataldo Originally published on Towards AI. Despite sensationalized false positives, the way AI models are built (at least the publicly known ones) precludes even the possibility at present. Simulating Consciousness: Persistent States AIs ability to simulate consciousness doesnt require true self-awareness.

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Unite.AI

JANUARY 17, 2025

However, AI is emerging as a powerful tool to help retailers with a brick-and-mortar presence extend their retail media networks without sacrificing relevancy, reach and customer experience. Aiming AI at Retail Media Outcomes For retail media strategies to succeed, they need to prioritize both driving sales and customer experience.

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Unite.AI

FEBRUARY 21, 2025

As part of Akeneo Product Cloud, we also offer an AI-powered supplier data onboarding solution, a syndication platform with the ability to activate product information across global marketplaces, a secure product portal that enables all stakeholders to access digital product catalogs on demand, and an extensive network of 150+ integrations.

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Unite.AI

JULY 25, 2023

Production-deployed AI models need a robust and continuous performance evaluation mechanism. This is where an AI feedback loop can be applied to ensure consistent model performance. But, with the meteoric rise of Generative AI , AI model training has become anomalous and error-prone. What is an AI Feedback Loop?

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Unite.AI

JUNE 2, 2023

With the advent of artificial intelligence (AI), we now have access to a variety of tools that help declutter our inboxes, making email management a breeze. Here's a deep dive into the top 10 AI email inbox management tools: 1. SaneBox SaneBox is a tool that uses AI to help you manage your email more effectively.

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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. And just last month, John Deere acquired SparkAI , a startup that develops software for resolving edge cases with humans in the loop.

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Unite.AI

FEBRUARY 17, 2025

A retail category planner who previously did hours-long analysis of past weeks reports to try to uncover insights into which products are underperforming, and why, now uses AI to provide deep-dive insights that surface problem areas and suggest corrective actions, prioritized for maximum business impact.

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Towards AI

JUNE 23, 2023

Last Updated on June 28, 2023 by Editorial Team Author(s): Flo Originally published on Towards AI. Data exploration, Data exploitation, and Continuous Learning Top highlight stuffed animals-tisou, image by @walterwhites on OpenSea The Multi-Armed Algorithm is a reinforcement learning algorithm used for resource allocation and decision-making.

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Unite.AI

JUNE 10, 2024

The Evolution of Digital Humans Originally conceptualized as visual enhancements to existing AI systems, digital humans have rapidly evolved. More Than a Just AI with a Face Digital Humans are not simply glorified chatbots. But Digital Humans don't stop learning after their initial training.

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IBM Journey to AI blog

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more.

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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. Below, we present some of best AI code generators, their unique features, and how they can revolutionize your programming experience. It achieves this by suggesting whole lines or blocks of code as you type.

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Unite.AI

SEPTEMBER 18, 2024

The rise of Artificial Intelligence (AI) is set to transform many aspects of business, and sales is no exception. AI's integration into sales processes can significantly enhance efficiency, streamline workflows, and drive business success through insights derived from complex data.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

This framework is designed as a compound AI system to drive the fine-tuning workflow for performance improvement, versatility, and reusability. Likewise, to address the challenges of lack of human feedback data, we use LLMs to generate AI grades and feedback that scale up the dataset for reinforcement learning from AI feedback ( RLAIF ).

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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. Despite being a powerful AI tool, neural networks have certain limitations, such as: They require a substantial amount of labeled training data.

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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

AUGUST 3, 2023

DeepHow revolutionizes skilled workforce training with an innovative, AI-powered, video-centric knowledge capturing and transfer platform. Our AI-powered video platform can transform hours of laborious work into mere minutes, drastically improving efficiency without compromising effectiveness.

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Unite.AI

SEPTEMBER 4, 2024

Aman Sareen is the CEO of Aarki , an AI company that delivers advertising solutions that drive revenue growth for mobile app developers. Aarki allows brands to effectively engage audiences in a privacy-first world by using billions of contextual bidding signals coupled with proprietary machine learning and behavioral models.

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Unite.AI

JANUARY 5, 2024

While it’s natural to feel overwhelmed or even intimidated by the sheer pace at which Artificial Intelligence (AI) is touching upon every sphere of our personal and professional lives, a perspective shift is what is required to make the most of what technology has to offer today. What are the limitations of AI?

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IBM Journey to AI blog

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI can also empower trial managers and executives with the data to make strategic decisions.

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ODSC - Open Data Science

FEBRUARY 28, 2025

Artificial intelligence (AI) is a window into understanding how workers behave, what they prefer, and how their careers progress. Leveraging AI to Boost Employee Retention AI streamlines processes and offers data-driven strategies that allow managers to be proactive about retention. The type of AI used can affect outcomes.

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Pickl AI

FEBRUARY 17, 2025

This scenario highlights a common reality in the Machine Learning landscape: despite the hype surrounding ML capabilities, many projects fail to deliver expected results due to various challenges. Statistics reveal that 81% of companies struggle with AI-related issues ranging from technical obstacles to economic concerns.

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