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revealing report from Bloomberg , tech giants including Google, OpenAI, and Moonvalley are actively seeking exclusive, unpublished video content from YouTubers and digital content creators to train AI algorithms.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

MARCH 12, 2025

However, critical thinking requires time and practice to develop properly. The more people rely on automated technology, the faster their metacognitive skills may decline. What are the consequences of relying on AI for critical thinking? If AIs purpose is to streamline tasks, is there any harm in letting it do its job?

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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

JANUARY 17, 2025

We are inherently lazy, always seeking ways to automate even the most minor tasks. True automation means not having to lift a finger to get things done. Perception : Agentic AI systems are equipped with advanced sensors and algorithms that allow them to perceive their surroundings.

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Unite.AI

MARCH 5, 2025

AI is evolving at such dramatic pace that any step forward is a step into the unknown. High Stakes, High Risk AIs potential to transform business is undeniable, but so too is the cost of getting it wrong. This is arguably one of the biggest risks associated with AI. The opportunity is great, but the risks are arguably greater.

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Unite.AI

NOVEMBER 28, 2024

SAP’s ERP systems have long supported business operations, but with AI, SAP aims to help companies become intelligent enterprises. This means enabling proactive decisions, automating routine tasks, and gaining valuable insights from large amounts of data. SAP’s commitment to responsible AI does not stop at transparency.

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Unite.AI

MARCH 6, 2025

These tools cover a range of functionalities including predictive analytics for lead prospecting, automated property valuation, intelligent lead nurturing, virtual staging, and market analysis. It analyzes over 250 data points per property using proprietary algorithms to forecast which homes are most likely to list within the next 12 months.

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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

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. For content creators, Grok-3 is an invaluable tool.

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Unite.AI

JANUARY 24, 2025

How has your entrepreneurial background influenced your approach as a corporate AI leader at Zscaler? That said, when AI is making decisions solely on exact numeric inputs representing reasons or features, the analysis is often incomplete and yields a flawed real-life result.

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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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Unite.AI

DECEMBER 27, 2024

Its because the foundational principle of data-centric AI is straightforward: a model is only as good as the data it learns from. No matter how advanced an algorithm is, noisy, biased, or insufficient data can bottleneck its potential. This transparency fosters trust in AI systems by clarifying their foundations.

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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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AI News

SEPTEMBER 17, 2024

A majority (55%) believe government intervention is crucial to stem the tide of AI-generated misinformation. Additionally, half of the respondents support regulations aimed at ensuring transparency and ethical practices in AI development. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Unite.AI

MARCH 20, 2025

As AI crawlers spread unchecked, they risk undermining the foundation of the Internet, an open, fair, and accessible space for everyone. Web Crawlers and Their Growing Influence on the Digital World Web crawlers, also known as spider bots or search engine bots, are automated tools designed to explore the Web.

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AI News

OCTOBER 24, 2024

This support aims to enhance the UK’s infrastructure to stay competitive in the AI market. Public sector integration: The UK Government Digital Service (GDS) is working to improve efficiency using predictive algorithms for future pension scheme behaviour.

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Unite.AI

MARCH 27, 2024

Back then, people dreamed of what it could do, but now, with lots of data and powerful computers, AI has become even more advanced. Along the journey, many important moments have helped shape AI into what it is today. Today, AI benefits from the convergence of advanced algorithms, computational power, and the abundance of data.

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AI News

JUNE 25, 2024

These startups bring fresh perspectives and specialised expertise that could prove crucial in developing more advanced and ethically sound AI systems. This open approach may drive AI development and deployment faster in places we have never seen before. The post Could an Apple-Meta partnership redefine the AI landscape?

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Unite.AI

NOVEMBER 17, 2023

From the design and planning stages, AI can help anticipate potential security flaws. During the coding and testing phases, AI algorithms can detect vulnerabilities that human developers might miss. Below, I am listing several ways in which AI can assist developers in creating secure apps.

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AI News

JULY 9, 2024

Applications like Question.AI, owned by Beijing-based educational technology startup Zuoyebang and ByteDance’s Gauth, are revolutionising how American students tackle their homework by providing instant solutions and explanations through advanced AI algorithms. For context, Question.AI

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IBM Journey to AI blog

SEPTEMBER 11, 2023

We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge. Watsonx.data on AWS: Imagine having the power of data at your fingertips.

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IBM Journey to AI blog

JANUARY 10, 2024

But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended.

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AWS Machine Learning Blog

DECEMBER 5, 2024

Technical standards, such as ISO/IEC 42001, are significant because they provide a common framework for responsible AI development and deployment, fostering trust and interoperability in an increasingly global and AI-driven technological landscape.

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Unite.AI

SEPTEMBER 13, 2023

Mystery and Skepticism In generative AI, the concept of understanding how an LLM gets from Point A – the input – to Point B – the output – is far more complex than with non-generative algorithms that run along more set patterns. Additionally, the continuously expanding datasets used by ML algorithms complicate explainability further.

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Unite.AI

JANUARY 28, 2025

Both DeepSeek and OpenAI are playing key roles in developing more innovative and more efficient technologies that have the potential to transform industries and change the way AI is utilized in everyday life. The Rise of Open Reasoning Models in AI AI has transformed industries by automating tasks and analyzing data.

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Marktechpost

AUGUST 20, 2024

Automated design in artificial intelligence (AI) is an emerging field focusing on developing systems capable of independently generating and optimizing their components. The core challenge in AI development is the significant manual effort required to design, configure, and fine-tune these systems for specific applications.

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IBM Journey to AI blog

MAY 1, 2023

After the success of Deep Blue, IBM again made the headlines with IBM Watson, an AI system capable of answering questions posed in natural language, when it won the quiz show Jeopardy against human champions. Continued advancement in AI development has resulted today in a definition of AI which has several categories and characteristics.

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AWS Machine Learning Blog

OCTOBER 10, 2024

Amazon Lookout for Vision , the AWS service designed to create customized artificial intelligence and machine learning (AI/ML) computer vision models for automated quality inspection, will be discontinuing on October 31, 2025.

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AWS Machine Learning Blog

MARCH 18, 2025

To simplify this process, AWS introduced Amazon SageMaker HyperPod during AWS re:Invent 2023 , and it has emerged as a pioneering solution, revolutionizing how companies approach AI development and deployment. This makes AI development more accessible and scalable for organizations of all sizes.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Tools such as Midjourney and ChatGPT are gaining attention for their capabilities in generating realistic images, video and sophisticated, human-like text, extending the limits of AI’s creative potential. Automate tedious, repetitive tasks. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

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IBM Journey to AI blog

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

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Unite.AI

OCTOBER 18, 2023

Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. Developers worldwide are exploring the potential applications of LLMs. Large language models are intricate AI algorithms. The task progresses ahead with the help of conversations that are displayed in the dialog box.

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IBM Journey to AI blog

DECEMBER 15, 2023

Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. While open-source AI offers enticing possibilities, its free accessibility poses risks that organizations must navigate carefully. Morgan and Spotify.

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IBM Journey to AI blog

DECEMBER 20, 2023

Artificial intelligence (AI) is a transformative force. The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations. A model represents what was learned by a machine learning algorithm.

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Unite.AI

DECEMBER 6, 2024

Well-documented cases have shown that biases introduced by a lack of annotator diversity result in AI models that systematically fail to accurately process the faces of non-white individuals. In fact, one study by NIST determined that certain groups are sometimes as much as 100 more likely to be misidentified by algorithms.

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IBM Journey to AI blog

DECEMBER 4, 2023

The surge in adoption of generative AI is happening in organizations across every industry, and the generative AI market is projected to grow by 27.02% in the next 10 years according to Precedence Research. There are many ways generative AI can revolutionize businesses and transform AI adoption for developers.

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Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. An algorithm, essentially a set of procedures, learns to identify patterns from a large set of examples (training data). This obscurity makes it challenging to understand the AI's decision-making process.

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