AI News

NOVEMBER 28, 2024

Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. Potentially, this could open more avenues for new competitors in the inference market.

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Unite.AI

AUGUST 5, 2024

However, as AI technology has progressed, so have robots' audio processing capabilities. Key advancements in this field include the development of sensitive microphones, sophisticated sound recognition algorithms, and the application of machine learning and neural networks.

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Unite.AI

NOVEMBER 28, 2024

This exponential growth made increasingly complex AI tasks feasible, allowing machines to push the boundaries of what was previously possible. 1980s – The Rise of Machine Learning The 1980s introduced significant advances in machine learning , enabling AI systems to learn and make decisions from data.

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AI News

NOVEMBER 8, 2024

The result will be less diversity in terms of AI development, fewer choices for consumers, and less favourable terms, limiting the use-cases and economic opportunities promised by AI. The worry is that algorithms, either by accident or design, might end up suppressing free speech. The alternative?

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AI News

APRIL 9, 2025

But forget about 2033: in the here and now, AI is already fueling transformation in industries as diverse as financial services, manufacturing, healthcare, marketing, agriculture, and e-commerce. But cynicism is snowballing around AI we’ve seen Terminator 2 enough times to be extremely wary. This is where Web3 tech comes in.

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Algorithm AI AI AI Developer 213

Unite.AI

JULY 12, 2024

The learning algorithms need significant computational power to train generative AI models with large datasets, which leads to high energy consumption and a notable carbon footprint. In this article, we explore the challenges of AI training and how JEST tackles these issues.

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Unite.AI

MAY 30, 2024

Artificial Intelligence (AI) has become a pivotal force in the modern era, significantly impacting various domains. The emergence of low/No-code platforms has introduced accessible alternatives for AI development. By lowering technical barriers, these platforms enable more people to contribute to AI development.

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Unite.AI

APRIL 8, 2025

The findings challenge the assumption that algorithm exploitationthe tendency to take advantage of cooperative AIis a universal phenomenon. Broader Implications for AI Development The findings have significant implications for the development and deployment of AI systems designed to interact with humans across different cultural contexts.

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Unite.AI

JANUARY 1, 2025

But, while this abundance of data is driving innovation, the dominance of uniform datasetsoften referred to as data monoculturesposes significant risks to diversity and creativity in AI development. In AI, relying on uniform datasets creates rigid, biased, and often unreliable models.

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AI News

JANUARY 15, 2025

In a revealing report from Bloomberg , tech giants including Google, OpenAI, and Moonvalley are actively seeking exclusive, unpublished video content from YouTubers and digital content creators to train AI algorithms. The move comes as companies compete to develop increasingly sophisticated AI video generators.

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Unite.AI

FEBRUARY 15, 2025

Its an attack type known as data poisoning, and AI developers may not notice the effects until its too late. Research shows that poisoning just 0.001% of a dataset is enough to corrupt an AI model. For example, a corrupted self-driving algorithm may fail to notice pedestrians. Then, you can re-encrypt it once youre done.

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Unite.AI

MARCH 12, 2025

If AIs purpose is to streamline tasks, is there any harm in letting it do its job? Many algorithms cannot think critically, reason or understand context. Users who are unaware of the risks of relying on AI may contribute to skewed, inaccurate results. Algorithms are trained to predict the next word in a string of words.

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Unite.AI

NOVEMBER 19, 2024

In the 1960s, researchers developed adaptive techniques like genetic algorithms. These algorithms replicated natural evolutionary process, enabling solutions to improve over time. With advancements in computing and data access, self-evolving AI progressed rapidly.

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Unite.AI

JANUARY 2, 2025

AI has the opportunity to significantly improve the experience for patients and providers and create systemic change that will truly improve healthcare, but making this a reality will rely on large amounts of high-quality data used to train the models. Why is data so critical for AI development in the healthcare industry?

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Unite.AI

MARCH 20, 2025

Businesses relying on AI must address these risks to ensure fairness, transparency, and compliance with evolving regulations. The following are risks that companies often face regarding AI bias. Algorithmic Bias in Decision-Making AI-powered recruitment tools can reinforce biases, impacting hiring decisions and creating legal risks.

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NVIDIA

MARCH 18, 2025

At the NVIDIA GTC global AI conference this week, NVIDIA introduced the NVIDIA RTX PRO Blackwell series, a new generation of workstation and server GPUs built for complex AI-driven workloads, technical computing and high-performance graphics.

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AI News

APRIL 8, 2025

Platform enhancements power AI scale To support these advanced models, Alibaba Clouds Platform for AI (PAI) received significant upgrades aimed at delivering scalable, cost-effective, and user-friendly generative AI solutions. This integration serves as the recommended vector database for RAG solutions.

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Unite.AI

JANUARY 23, 2025

AI systems are primarily driven by Western languages, cultures, and perspectives, creating a narrow and incomplete world representation. These systems, built on biased datasets and algorithms, fail to reflect the diversity of global populations. Bias in AI typically can be categorized into algorithmic bias and data-driven bias.

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AI Weekly

JUNE 29, 2023

In the News Next DeepMind's Algorithm To Eclipse ChatGPT IN 2016, an AI program called AlphaGo from Google’s DeepMind AI lab made history by defeating a champion player of the board game Go. The study reveals that 20% of male users are already using AI to improve their online dating experiences. Powered by pluto.fi

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Unite.AI

OCTOBER 27, 2024

As artificial intelligence continues to reshape the tech landscape, JavaScript acts as a powerful platform for AI development, offering developers the unique ability to build and deploy AI systems directly in web browsers and Node.js has revolutionized the way developers interact with LLMs in JavaScript environments.

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Unite.AI

JANUARY 24, 2025

However, as the availability of real-world data reaches its limits , synthetic data is emerging as a critical resource for AI development. It is created using algorithms and simulations, enabling the production of data designed to serve specific needs. Efficiency is also a key factor. Furthermore, synthetic data is scalable.

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Unite.AI

AUGUST 7, 2024

This reduces the overall costs and makes advanced AI technology more accessible to smaller organizations and research teams. Moreover, small AI models have lower energy demands, which helps cut operational costs and reduces their environmental impact.

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Unite.AI

JANUARY 23, 2025

Many experts, researchers, musicians, and record labels are seeking new ways to integrate AI technologies into music. Some software can produce works in the style of different composers, while others use machine learning algorithms to generate brand new songs and sounds. Repeat until you find the track that is right for you.

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Unite.AI

DECEMBER 27, 2024

As AI influences our world significantly, we need to understand what this data monopoly means for the future of technology and society. The Role of Data in AI Development Data is the foundation of AI. Without data, even the most complex algorithms are useless.

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Analytics Vidhya

JANUARY 29, 2024

Introduction As the field of artificial intelligence (AI) continues to grow and evolve, it becomes increasingly important for aspiring AI developers to stay updated with the latest research and advancements.

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Unite.AI

JUNE 5, 2024

Across sectors like healthcare, finance, autonomous vehicles , and natural language processing , the demand for efficient AI models is increasing. In finance, they improve algorithmic trading, fraud detection, and credit risk assessment, enabling real-time decision-making and high-frequency trading.

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Unite.AI

JANUARY 2, 2025

By setting a new benchmark for ethical and dependable AI , Tlu 3 ensures accountability and makes AI systems more accessible and relevant globally. The Importance of Transparency in AI Transparency is essential for ethical AI development. This is particularly important in areas like hiring.

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Unite.AI

JUNE 26, 2023

Who is responsible when AI mistakes in healthcare cause accidents, injuries or worse? Depending on the situation, it could be the AI developer, a healthcare professional or even the patient. Liability is an increasingly complex and serious concern as AI becomes more common in healthcare. Not necessarily.

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Unite.AI

JANUARY 17, 2025

Perception : Agentic AI systems are equipped with advanced sensors and algorithms that allow them to perceive their surroundings. Reasoning : At the core of agentic AI is its reasoning capability. The Future of Agentic AI The agentic approach is not entirely new.

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Unite.AI

FEBRUARY 13, 2025

This article explores the various reinforcement learning approaches that shape LLMs, examining their contributions and impact on AI development. Understanding Reinforcement Learning in AI Reinforcement Learning (RL) is a machine learning paradigm where an agent learns to make decisions by interacting with an environment.

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Unite.AI

NOVEMBER 11, 2024

In contrast, LLMs rely on static data patterns and mathematical algorithms. Therefore, understanding this distinction is essential for exploring the deeper complexities of how AI memory compares to that of humans. However, despite these abilities, how LLMs store and retrieve information differs significantly from human memory.

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Unite.AI

MARCH 18, 2025

This mirrors the early days of AI, when companies were spending more on AI development than they were saving from AI-driven efficiencies. That equation is shifting for AI, and it will shift for quantum computing as well. A financial firm doesnt need to understand quantum algorithms; it needs better risk modeling.

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Marktechpost

MAY 20, 2024

The Python Testbed for Federated Learning Algorithms (PTB-FLA) is a low-code framework developed for the EU Horizon 2020 project TaRDIS, aimed at simplifying the creation of decentralized and distributed applications for edge systems. highlighted the ongoing challenge of developing FL frameworks for edge systems.

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AI News

JUNE 14, 2024

The European Union recently introduced the AI Act, a new governance framework compelling organisations to enhance transparency regarding their AI systems’ training data. Implementing the AI Act The EU’s AI Act , intended to be implemented gradually over the next two years, aims to address these issues.

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AI News

SEPTEMBER 5, 2024

The treaty acknowledges the potential benefits of AI – such as its ability to boost productivity and improve healthcare – whilst simultaneously addressing concerns surrounding misinformation, algorithmic bias, and data privacy.

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Unite.AI

FEBRUARY 21, 2025

A powerful feature of Grok-3 is its integration with Deep Search, a next-generation AI-powered search engine. By utilizing advanced algorithms, Deep Search quickly processes vast amounts of data to deliver relevant information in seconds.

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AI News

OCTOBER 8, 2024

As artificial intelligence systems increasingly permeate critical decision-making processes in our everyday lives, the integration of ethical frameworks into AI development is becoming a research priority. So, in this field, they developed algorithms to extract information from the data.

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