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

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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NYU Center for Data Science

FEBRUARY 8, 2024

As part of a symbiotic research agenda emblematic of CDS wherein human and machine intelligence is explored in tandem, a recent paper published in Cognition by CDS PhD student Yanli Zhou investigates how both humans and AI models achieve visual compositionality. By Stephen Thomas

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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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Flipboard

JULY 28, 2023

Paige Vickers/Vox; Getty Images The AI debate splitting the tech world, explained. Last week, Meta made a game-changing move in the world of AI. Zuckerberg also made the case for why it’s better for leading AI models to be “open source,” which means making the technology’s underlying code largely available for anyone to use.

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NVIDIA

MARCH 1, 2024

Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change. What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.

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Marktechpost

JULY 14, 2023

From organizations to AI researchers, everyone is discovering the vast potential Generative AI holds to produce unique and original content, and that too in a wide range of fields. What is Generative AI? Generative AI is a common term for any type of process that uses an algorithm to generate, manipulate, and synthesize data.

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AI News

JUNE 6, 2023

“The kind of existential risk that I think the letter writers were talking about is … about what happens once we effectively create a new species, an intelligence that is greater than humans,” explains Clifford. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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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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Marktechpost

APRIL 28, 2024

It covers various topics like graph search algorithms, classification, optimization, machine learning, and large language models with the help of hands-on projects, allowing the students to incorporate them into their own Python programs. It also covers the potential opportunities and risks that generative AI poses.

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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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Bugra Akyildiz

JULY 29, 2023

Features 💃 Direct QA powered by Generative AI models with answers backed by quotes and source links. An AI Helper backed by a custom Deep Learning model to interpret user intent. However, he argues that these risks are manageable and that the potential benefits of AI far outweigh the risks.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

Building transparency into IBM-developed AI models To date, many available AI models lack information about data provenance, testing and safety or performance parameters. It can also help autocomplete code, modify code and explain code snippets in natural language. Users of third-party models in watsonx.ai

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NVIDIA

JANUARY 8, 2024

How Robots Are Using Generative AI Agility Robotics, NTT, and others are incorporating generative AI into their robots to help them understand text or voice commands. Robot vacuum cleaners from Dreame Technology are being trained in simulated living spaces created by generative AI models.

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IBM Journey to AI blog

MAY 8, 2023

Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage. Technological risk—transparency The black-box characteristic of AI systems, especially generative AI, renders the decision process of AI algorithms hard to understand.

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Marktechpost

NOVEMBER 23, 2023

This technical prowess positions Leonardo as a crucial asset for advancing AI applications across Europe​​. REAL AI’s unique opportunity- “We aim to provide Europe’s answer to responsible AI development. Together with UNINA and AI supercomputer cluster ‘Leonardo’, we can make this possible”.

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Unite.AI

APRIL 30, 2024

AI models, particularly chatbots, learn from interactions through various learning paradigms, for example: In supervised learning , chatbots learn from labeled examples, such as historical conversations, to map inputs to outputs.

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NYU Center for Data Science

JANUARY 3, 2024

We wanted to develop a framework for understanding the toxicity of language that would take into account more than just what’s shown explicitly in the text,” Gabriel explains. This focus on the implicit meanings and the social context of language in AI models is crucial in an era where digital communication is omnipresent.

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IBM Journey to AI blog

AUGUST 16, 2023

” We’ll come back to this story in a minute and explain how it relates to ChatGPT and trustworthy AI. As the world of artificial intelligence (AI) evolves, new tools like OpenAI’s ChatGPT have gained attention for their conversational capabilities.

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NVIDIA

SEPTEMBER 25, 2023

Security now needs to cover the AI development lifecycle. This includes new attack surfaces like training data, models and the people and processes using them. For instance, an attacker might try to alter the behavior of an AI model by accessing data while it’s training the model on a cloud service.

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Unite.AI

APRIL 12, 2024

ReALM, or Reference Resolution as Language Modeling , is a AI model that promises to bring a new level of contextual awareness and seamless assistance. Unlike cloud-based AI models that rely on sending user data to remote servers for processing, ReALM is designed to operate entirely on your iPhone or other Apple devices.

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Towards AI

JANUARY 9, 2024

We believe the success of the GPT Store release will be a key signal for the direction AI development will take; will developers primarily build and release their AI apps through their own channels — or will they integrate into Chat model platforms such as ChatGPT and Bard? How Important Is Explainability?

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Towards AI

FEBRUARY 15, 2024

Google Gemini — Source: Bard becomes Gemini Introduction Google Gemini Pro is part of Google’s latest AI model, Gemini, which was announced as their most capable and general AI model to date. I load up this file and load my API key into a variable as follows. Let’s do a basic task of getting some information.

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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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Pickl AI

APRIL 26, 2024

This can lead to discriminatory outcomes, for example, an AI-powered hiring tool trained on historical data might perpetuate existing biases against certain demographics. Ensuring fairness and mitigating bias in AI development is crucial. To reap the benefits and mitigate the risks, we must approach AI development responsibly.

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NVIDIA

SEPTEMBER 21, 2023

AI improves video and audio quality and adds unique effects to make virtual interactions smoother and collaboration more efficient. The cloud, in turn, provides more than just vast quantities of training data for advanced AI models running on these machines. Why Choose Desktop AI? What’s Next for AI in Our Everyday Lives?

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Snorkel AI

OCTOBER 4, 2023

ML can significantly reduce the time necessary to pre-process customer data for downstream tasks, like training predictive models. Supercharge predictive modeling. Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior.

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Snorkel AI

OCTOBER 4, 2023

ML can significantly reduce the time necessary to pre-process customer data for downstream tasks, like training predictive models. Supercharge predictive modeling. Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior.

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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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ODSC - Open Data Science

APRIL 4, 2023

This is a promising shift for AI developers, and many organizations have realized impressive benefits from the technology, but it also comes with significant risks. AI’s rapid growth could lead more companies to implement it without fully understanding how to manage it safely and ethically.

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IBM Journey to AI blog

APRIL 18, 2024

Most experts categorize it as a powerful, but narrow AI model. Current AI advancements demonstrate impressive capabilities in specific areas. A key trend is the adoption of multiple models in production. This multi-model approach uses multiple AI models together to combine their strengths and improve the overall output.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Ethical and privacy considerations : As conversational AI becomes more advanced and widespread, ethical and privacy concerns will become more prominent. Ensuring fairness and inclusivity in conversational AI is crucial.

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Pickl AI

APRIL 8, 2024

This experiment highlighted the importance of developing robust security measures for AI systems. Lack of Explainability Many AI systems, particularly deep learning models, known for their “black box” nature. How Can We Ensure the Transparency of AI Systems?

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Defined.ai blog

JANUARY 31, 2023

Incremental improvement with Exponential Tools These are all vital questions, but they’re also too big to answer without time and extensive societal discourse—never mind that if AI’s exponential progress trend continues, the AI developments of today will be completely superseded by the AI developments of literally tomorrow.

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Becoming Human

APRIL 19, 2024

This involves thoroughly examining training data, adjusting algorithms for fairness, and continuously monitoring and updating models to address emerging biases. Transparency and Explainability Transparency in AI systems is crucial for building trust among users and stakeholders.

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Towards AI

FEBRUARY 15, 2023

Announcing the launch of the Medical AI Research Center (MedARC) Medical AI Research Center (MedARC) announced a new open and collaborative research center dedicated to advancing the field of AI in healthcare. This article delves into the details of these emerging approaches and their potential impact on AI development.

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NVIDIA

FEBRUARY 28, 2024

The latter includes sovereign foundation models, such as large language models , developed by local teams and trained on local datasets to promote inclusiveness with specific dialects, cultures and practices. For example, speech AI models can help preserve, promote and revitalize indigenous languages.

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