AI News

DECEMBER 11, 2024

Leap towards transformational AI Reflecting on Googles 26-year mission to organise and make the worlds information accessible, Pichai remarked, If Gemini 1.0 released in December 2022, was notable for being Googles first natively multimodal AI model. Flash, the flagship model of Geminis second generation. Its enhanced 1.5

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Unite.AI

DECEMBER 17, 2024

Humans can validate automated decisions by, for example, interpreting the reasoning behind a flagged transaction, making it explainable and defensible to regulators. Financial institutions are also under increasing pressure to use Explainable AI (XAI) tools to make AI-driven decisions understandable to regulators and auditors.

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Unite.AI

SEPTEMBER 13, 2023

Increasingly though, large datasets and the muddled pathways by which AI models generate their outputs are obscuring the explainability that hospitals and healthcare providers require to trace and prevent potential inaccuracies. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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IBM Journey to AI blog

MAY 2, 2023

The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. Additionally, IBM’s AI for Enterprises strategy centers on an approach that embeds trust throughout the entire AI lifecycle process.

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AI News

FEBRUARY 13, 2025

The development could reshape how AI features are implemented in one of the world’s most regulated tech markets. According to multiple sources familiar with the matter, Apple is in advanced talks to use Alibaba’s Qwen AI models for its iPhone lineup in mainland China.

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Unite.AI

JANUARY 2, 2025

The Importance of Transparency in AI Transparency is essential for ethical AI development. Without it, users must rely on AI systems without understanding how decisions are made. Transparency allows AI decisions to be explained, understood, and verified. Tlu 3 also simplifies how AI models are evaluated.

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Unite.AI

JANUARY 1, 2025

Data is at the centre of this revolutionthe fuel that powers every AI model. 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. Transparency also plays a significant role.

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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. AI systems need vast information to learn patterns, predict, and adapt to new situations.

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AI News

JANUARY 28, 2025

A triad of Ericsson AI labs Central to the Cognitive Labs initiative are three distinct research arms, each focused on a specialised area of AI: GAI Lab (Geometric Artificial Intelligence Lab): This lab explores Geometric AI, emphasising explainability in geometric learning, graph generation, and temporal GNNs.

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Unite.AI

MARCH 11, 2024

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and collaborative compound AI systems like AlphaGeometry and Retrieval Augmented Generation (RAG) system.

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NVIDIA

JANUARY 6, 2025

Then generative AI creating text, images and sound, Huang said. Now, were entering the era of physical AI, AI that can proceed, reason, plan and act. The latest generation of DLSS can generate three additional frames for every frame we calculate, Huang explained. The next frontier of AI is physical AI, Huang explained.

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Unite.AI

DECEMBER 27, 2024

Heres the thing no one talks about: the most sophisticated AI model in the world is useless without the right fuel. Data-centric AI flips the traditional script. Instead of obsessing over squeezing incremental gains out of model architectures, its about making the data do the heavy lifting.

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Unite.AI

JANUARY 1, 2025

Similarly, in the United States, regulatory oversight from bodies such as the Federal Reserve and the Consumer Financial Protection Bureau (CFPB) means banks must navigate complex privacy rules when deploying AI models. A responsible approach to AI development is paramount to fully capitalize on AI, especially for banks.

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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 23, 2025

Consequently, the foundational design of AI systems often fails to include the diversity of global cultures and languages, leaving vast regions underrepresented. Bias in AI typically can be categorized into algorithmic bias and data-driven bias. A 2023 McKinsey report estimated that generative AI could contribute between $2.6

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AI News

JULY 30, 2024

The conversation began with Zuckerberg announcing the launch of AI Studio , a new platform designed to democratise AI creation. This tool allows users to create, share, and discover AI characters, potentially opening up AI development to millions of creators and small businesses.

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AI News

JANUARY 3, 2024

Developed by researchers at MIT, Tsinghua University, and Canadian startup MyShell, OpenVoice uses just seconds of audio to clone a voice and allows granular control over tone, emotion, accent, rhythm, and more. Today, we proudly open source our OpenVoice algorithm, embracing our core ethos – AI for all.

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Unite.AI

NOVEMBER 4, 2024

Ex-Human was born from the desire to push the boundaries of AI even further, making it more adaptive, engaging, and capable of transforming how people interact with digital characters across various industries. Ex-human uses AI avatars to engage millions of users. influence the training and development of your AI models?

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AI News

AUGUST 1, 2024

Zuckerberg revealed that Meta is “planning for the compute clusters and data we’ll need for the next several years,” with a particular focus on their next AI model, Llama 4. Zuckerberg expressed his goal for Llama 4 “to be the most advanced [model] in the industry next year.”

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Towards AI

NOVEMBER 7, 2024

This week, we are diving into some very interesting resources on the AI ‘black box problem’, interpretability, and AI decision-making. Parallely, we also dive into Anthropic’s new framework for assessing the risk of AI models sabotaging human efforts to control and evaluate them. Enjoy the read!

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Towards AI

OCTOBER 19, 2024

Yet, for all their sophistication, they often can’t explain their choices — this lack of transparency isn’t just frustrating — it’s increasingly problematic as AI becomes more integrated into critical areas of our lives. What is Explainability AI (XAI)? It’s particularly useful in natural language processing [3].

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Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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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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Marktechpost

NOVEMBER 22, 2024

It helps developers identify and fix model biases, improve model accuracy, and ensure fairness. Arize helps ensure that AI models are reliable, accurate, and unbiased, promoting ethical and responsible AI development. It offers features like model training, evaluation, and deployment.

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AI News

AUGUST 2, 2024

Microsoft revealed that its carbon emissions had surged nearly 30% since 2020, mainly due to the construction and operation of energy-hungry data centres needed to power its AI ambitions. These trends highlight the growing tension between rapid AI development and environmental sustainability in the tech sector.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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Unite.AI

NOVEMBER 14, 2024

Can you explain the process behind training DeepL's LLM? How much human input is required to maintain accuracy and nuance in translation, and how do you balance that with the computational aspects of AI development? Any organization considering AI tools should always ask these questions when evaluating models and companies.

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Unite.AI

DECEMBER 9, 2024

Models that once struggled with basic tasks now excel at solving math problems, generating code, and answering complex questions. Central to this progress is the concept of scaling laws rules that explain how AI models improve as they grow, are trained on more data, or are powered by greater computational resources.

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Unite.AI

JANUARY 24, 2025

One of the most pressing challenges in artificial intelligence (AI) innovation today is large language models (LLMs) isolation from real-time data. To tackle the issue, San Francisco-based AI research and safety company Anthropic, recently announced a unique development architecture to reshape how AI models interact with data.

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Unite.AI

JULY 1, 2024

Seekr’s approach to AI is to ensure the user has full transparency into the content including provenance, lineage and objectivity, and the ability to build and leverage AI that is transparent, trustworthy, features explainability and has all the guardrails so consumers and businesses alike can trust it.

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NVIDIA

FEBRUARY 12, 2025

Just as there are widely understood empirical laws of nature for example, what goes up must come down , or every action has an equal and opposite reaction the field of AI was long defined by a single idea: that more compute, more training data and more parameters makes a better AI model. What Is Pretraining Scaling?

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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.

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Unite.AI

MARCH 18, 2024

As generative AI technology advances, there's been a significant increase in AI-generated content. This content often fills the gap when data is scarce or diversifies the training material for AI models, sometimes without full recognition of its implications.

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Marktechpost

DECEMBER 6, 2023

Google’s latest venture into artificial intelligence, Gemini, represents a significant leap forward in AI technology. Unveiled as an AI model of remarkable capability, Gemini is a testament to Google’s ongoing commitment to AI-first strategies, a journey that has spanned nearly eight years.

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IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

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AssemblyAI

AUGUST 5, 2024

  At AssemblyAI, we believe that AI systems are only as good as the benchmarks and evaluations they are measured against. Objective evaluations and benchmarks validate systems' performances, so users know the AI models they’re using will solve real-world challenges with real-world applications. 

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NVIDIA

MARCH 18, 2024

Personalization is paramount, with AI assistants learning driver and passenger habits and adapting its behavior to suit occupants’ needs. Li Auto unveiled its multimodal cognitive model, Mind GPT, in June.

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