AI News

APRIL 25, 2024

The current incarnation of Pryon has aimed to confront AI’s ethical quandaries through responsible design focused on critical infrastructure and high-stakes use cases. “[We We wanted to] create something purposely hardened for more critical infrastructure, essential workers, and more serious pursuits,” Jablokov explained.

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Flipboard

APRIL 19, 2023

“Vector databases are the natural extension of their (LLMs) capabilities,” Zayarni explained to TechCrunch. Qdrant, an open source vector database startup, wants to help AI developers leverage unstructured data by Paul Sawers originally published on TechCrunch ” Investors have been taking note, too.

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AI News

APRIL 12, 2024

“AI is advancing at an unprecedented pace that exceeds our expectations, and it is crucial to establish global norms and governance to harness such technological innovations to enhance the welfare of humanity,” explained Lee. “We From discussing model safety evaluations, to fostering sustainable AI development.

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AI News

APRIL 15, 2024

“We’re excited to be in Japan which has a rich history of people and technology coming together to do more,” explained Sam Altman, CEO of OpenAI. “We OpenAI seeks to contribute to the local ecosystem and explore AI solutions for societal challenges, such as rural depopulation and labour shortages, within the region.

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Unite.AI

JULY 21, 2023

In order to protect people from the potential harms of AI, some regulators in the United States and European Union are increasingly advocating for controls and checks and balances on the power of open-source AI models. The AI Bill of Rights and the NIST AI Risk Management Framework in the U.S.,

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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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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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Bugra Akyildiz

JULY 29, 2023

However, he argues that these risks are manageable and that the potential benefits of AI far outweigh the risks. He concludes by calling for a more open and optimistic approach to AI development.

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Unite.AI

DECEMBER 1, 2023

SHAP's strength lies in its consistency and ability to provide a global perspective – it not only explains individual predictions but also gives insights into the model as a whole. This method requires fewer resources at test time and has been shown to effectively explain model predictions, even in LLMs with billions of parameters.

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Marktechpost

APRIL 28, 2024

IBM AI Developer Professional Certificate This is a comprehensive course that introduces the fundamentals of software engineering and artificial intelligence and also covers some of the emerging technologies like generative AI. It also covers the potential opportunities and risks that generative AI poses.

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Unite.AI

OCTOBER 20, 2023

However, only around 20% have implemented comprehensive programs with frameworks, governance, and guardrails to oversee AI model development and proactively identify and mitigate risks. Given the fast pace of AI development, leaders should move forward now to implement frameworks and mature processes.

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Mlearning.ai

MARCH 30, 2023

Let me explain this in simple words. Submission Suggestions Why Transfer Learning is a Game-Changer for AI Development was originally published in MLearning.ai The name transfer learning comes from the process of using the learning from one problem to solve another.

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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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IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs.

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Unite.AI

MARCH 18, 2024

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. While this expansion enriches the AI development landscape with varied datasets, it also introduces the risk of data contamination.

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Towards AI

NOVEMBER 9, 2023

Last Updated on November 10, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Develop Your Own Generative Adversarial Networks with This Complete Python Tutorial GANs are a powerful type of generative model that can synthesize new and realistic images.

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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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Unite.AI

MARCH 27, 2024

Likewise, ethical considerations, including bias in AI algorithms and transparency in decision-making, demand multifaceted solutions to ensure fairness and accountability. Addressing bias requires diversifying AI development teams, integrating ethics into algorithmic design, and promoting awareness of bias mitigation strategies.

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IBM Journey to AI blog

JANUARY 15, 2024

This includes maintaining human oversight to help ensure AI-generated content accuracy and prevent biases, among other considerations. Key pillars for responsible AI in government IBM’s AI development centers around 5 fundamental pillars to help ensure trustworthy AI. It helps to ensure consistent outputs.

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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

Ethical Considerations and Challenges Ethical considerations and challenges are significant in the development of self-reflective AI systems. Transparency and accountability are at the forefront, necessitating explainable systems that can justify their decisions.

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Aiiot Talk

JULY 7, 2023

When developers and users can’t see how AI connects data points, it is more challenging to notice flawed conclusions. Black-box AI poses a serious concern in the aviation industry. In fact, explainability is a top priority laid out in the European Union Aviation Safety Administration’s first-ever AI roadmap.

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Towards AI

JANUARY 24, 2024

What happened this week in AI by Louie This week, Meta’s AI strategy was in focus, with Mark Zuckerberg boasting of Meta’s GPU hoard and outlining his open-source-focused AI vision. As Zuckerberg explains, Meta’s new, broader focus on AGI was influenced by the release of Llama 2, its latest large language model, last year.

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AI Weekly

APRIL 20, 2023

nytimes.com OpenAI is not currently training GPT-5 Experts calling for a pause on AI development will be glad to hear that OpenAI isn’t currently training GPT-5. scitechdaily.com How AI is matching drugs to patients Dr Talia Cohen Solal sits down at a microscope to look closely at human brain cells grown in a petri dish.

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ODSC - Open Data Science

MAY 2, 2024

For example, often it misreads people of color because it hasn’t been trained on that many different types of people of color, ” explained President Pines, highlighting the importance of diverse data sets in AI development. The institute isn’t just focusing on traditional science and technology fields.

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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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Unite.AI

DECEMBER 26, 2023

. “Our Commercial Terms of Service will enable our customers to retain ownership rights over any outputs they generate through their use of our services and protect them from copyright infringement claims,” Anthropic explains. The post Anthropic Sets New Legal Standards in Generative AI appeared first on Unite.AI.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

As a testament to the rigor IBM puts into the development and testing of its foundation models, IBM will indemnify clients against third party IP claims against IBM-developed foundation models. It can also help autocomplete code, modify code and explain code snippets in natural language.

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Artificial Corner

AUGUST 3, 2023

Twitter’s CEO, Sarah Jackson, explained that the rebranding is part of a strategic effort to expand the platform’s offerings beyond its traditional microblogging format. The formation of the industry body “Frontier Model Forum” further solidifies their dedication to ensuring responsible AI development.

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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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NVIDIA

JANUARY 8, 2024

Two Brains Are Better Than One In his talk at CES, Talla showed the dual-computer model (below) essential for deploying AI in robotics, demonstrating NVIDIA’s comprehensive approach to AI development and application. Such machines — adaptable and aware of the environment around them — will soon spill out across the world.

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NYU Center for Data Science

FEBRUARY 8, 2024

In a recent interview, Zhou explained that compositionality was a cornerstone of human learning, allowing us to assemble new concepts from known elements. Her team’s research meticulously examines how humans and AI models process and generate novel visual constructs, offering a quantitative analysis of human inductive biases in these tasks.

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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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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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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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Unite.AI

APRIL 9, 2024

As organizations strive for responsible and effective AI, Composite AI stands at the forefront, bridging the gap between complexity and clarity. The Need for Explainability The demand for Explainable AI arises from the opacity of AI systems, which creates a significant trust gap between users and these algorithms.

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Unite.AI

JULY 25, 2023

Stages Of AI Feedback Loops A high-level illustration of feedback mechanism in AI models. Source Understanding how AI feedback loops work is significant to unlock the whole potential of AI development. Let's explore the various stages of AI feedback loops below.

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