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. Comprehensive suite of AI innovations The launch of Gemini 2.0

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AI News

MAY 29, 2024

However, he parted ways with the company in 2018 due to disagreements over its priorities and direction, specifically OpenAI’s move away from open-source AI models and towards proprietary, closed models that they sell access to. He co-founded OpenAI in 2015 alongside the current CEO, Sam Altman, and others.

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Unite.AI

MARCH 22, 2024

Saving Resources: This approach allows for more efficient use of resources, as models learn from each other's experiences without needing direct access to large datasets. Decentralized Learning : The idea of AI models learning from each other across a decentralized network presents a novel way to scale up knowledge sharing.

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Marktechpost

MARCH 18, 2024

Developers can “stress test” their models in various virtual environments designed to imitate real-world conditions. Imagine this: you want to test your AI chatbot’s capabilities and find any flaws by feeding it millions of simulated talks. Subscribe to our AI Research Startup Newsletter Here.

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Marktechpost

APRIL 17, 2024

In the race to create more efficient and powerful AI models, Zyphra has unveiled a significant breakthrough with its new Zamba-7B model. The Zamba-7B model is a remarkable achievement in machine learning. license to encourage collaboration within the AI research community.

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Unite.AI

MARCH 24, 2024

It involves an AI model capable of absorbing instructions, performing the described tasks, and then conversing with a ‘sister' AI to relay the process in linguistic terms, enabling replication. The UNIGE team’s breakthrough goes beyond mere task execution and into advanced human-like language generalization.

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Marktechpost

MAY 29, 2024

With significant advancements through its Gemini, PaLM, and Bard models, Google has been at the forefront of AI development. Each model has distinct capabilities and applications, reflecting Google’s research in the LLM world to push the boundaries of AI technology.

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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

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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Unite.AI

MAY 3, 2024

As the co-founder of the research organization behind groundbreaking AI models like GPT and DALL-E, Altman's perspective holds immense significance for entrepreneurs, researchers, and anyone interested in the rapidly evolving field of AI.

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Unite.AI

FEBRUARY 8, 2024

The Gemini Models – Pro and Ultra Diving deeper into the architecture of Google's Gemini, we encounter two distinct models: Gemini Pro and Gemini Ultra 1.0. While both models represent the pinnacle of Google's AI development, they cater to different user needs and capabilities. In contrast, Gemini Ultra 1.0

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Unite.AI

SEPTEMBER 10, 2024

Encord's vision is to be the foundational platform that enterprises rely on to transform their data into functional AI models. We are the layer between a company’s data and their AI. In what ways does Encord Index enhance the process of selecting the right data for AI models, and what impact does this have on model performance?

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Unite.AI

JUNE 22, 2023

AI can leverage large clinical databases that include key information about the target identification. These data sources can include biomedical research, biomolecular information, clinical trial data, protein structures, etc. For instance, AlphaFold , developed by DeepMind, is an AI system that can predict protein structures.

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Unite.AI

JULY 15, 2024

Unlike current models that primarily rely on pattern recognition within their training data, OpenAI Strawberry is said to be capable of: Planning ahead for complex tasks Navigating the internet autonomously Performing what OpenAI terms “deep research” This new AI model differs from its predecessors in several key ways.

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Marktechpost

OCTOBER 5, 2024

Meta AI research team has introduced MovieGen, a suite of state-of-the-art (SotA) media foundation models that are set to revolutionize how we generate and interact with media content. The post Meta AI Unveils MovieGen: A Series of New Advanced Media Foundation AI Models appeared first on MarkTechPost.

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Unite.AI

JANUARY 3, 2024

ChatGPT is an impressively capable conversational AI system that can understand natural language prompts and generate thoughtful, human-like responses on a wide range of topics. One of the most promising new contenders aiming to surpass ChatGPT is Claude, created by AI research company Anthropic.

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Towards AI

DECEMBER 16, 2024

Last Updated on December 17, 2024 by Editorial Team Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI.

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Unite.AI

DECEMBER 20, 2024

This raises a crucial question: Are the datasets being sold trustworthy, and what implications does this practice have for the scientific community and generative AI models? These agreements enable AI companies to access diverse and expansive scientific datasets, presumably improving the quality of their AI tools.

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Unite.AI

SEPTEMBER 18, 2024

Continuous Monitoring: Anthropic maintains ongoing safety monitoring, with Claude 3 achieving an AI Safety Level 2 rating. Responsible Development: The company remains committed to advancing safety and neutrality in AI development. and position Grok-2 as a strong competitor to other leading AI models.

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Unite.AI

MARCH 7, 2024

Elon Musk, a figure synonymous with groundbreaking advancements in technology, has initiated a lawsuit against OpenAI, the AI research organization he co-founded. Shaping the Future of AI Development The legal tussle between Elon Musk and OpenAI transcends a mere corporate dispute, poised to leave a lasting imprint on the AI industry.

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ODSC - Open Data Science

NOVEMBER 22, 2024

The United States continues to dominate global AI innovation, surpassing China and other nations in key metrics such as research output, private investment, and responsible AI development, according to the latest Stanford University AI Index report on Global AI Innovation Rankings. Additionally, the U.S.

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Unite.AI

JULY 3, 2024

This move comes in response to Meta's updated privacy policy , which would have allowed the company to utilize public posts, photos, and captions from its platforms for AI development. The tech giant views the regulatory action as a setback for innovation and AI development in Brazil.

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Unite.AI

JANUARY 12, 2024

These innovations signal a shifting priority towards multimodal, versatile generative models. Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development.

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Unite.AI

OCTOBER 7, 2024

By providing diverse language data, MOSEL seeks to ensure that AI models are more inclusive and representative of Europe's rich linguistic landscape. Language diversity is crucial for ensuring inclusivity in AI development. One of the key contributions of MOSEL is the inclusion of both transcribed and unlabeled data.

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Unite.AI

DECEMBER 6, 2023

The EO calls for a series of committees and position papers to be released in the coming months that will facilitate the development of policy – and, crucially, limitations – on what can, or should, be developed by AI researchers and companies.

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Towards AI

DECEMBER 16, 2024

Last Updated on December 17, 2024 by Editorial Team Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI.

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Unite.AI

JUNE 21, 2024

Unlike narrow AI, which excels in specific areas like language translation or image recognition, AGI would possess a broad, adaptable intelligence, enabling it to generalize knowledge and skills across diverse domains. The feasibility of achieving AGI is an intensely debated topic among AI researchers.

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Towards AI

DECEMBER 16, 2024

Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Well, Ive got you covered!

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Marktechpost

DECEMBER 16, 2023

Integrating Perseus into the training workflow has strong implications for the future of AI development. All credit for this research goes to the researchers of this project. They decrease the number of micro-batches and the ratio of pipeline bubbles at the beginning and end of each pipeline iteration.

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Unite.AI

JANUARY 30, 2024

According to a report by Deloitte , there are more than 1,600 AI policies and strategies globally, and corporate investment in AI reached US$ 67.9 Some of the leading players in the AI race include the European Union, China, the United States, and the United Kingdom, each with its vision and approach to AI development and regulation.

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AI Weekly

OCTOBER 19, 2023

clkmg.com In The News The BBC is blocking OpenAI data scraping The BBC, the UK’s largest news organization, laid out principles it plans to follow as it evaluates the use of generative AI — including for research and production of journalism, archival, and “personalized experiences.”

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Unite.AI

JULY 5, 2024

Large Language Models (LLMs) are powerful tools not just for generating human-like text, but also for creating high-quality synthetic data. This capability is changing how we approach AI development, particularly in scenarios where real-world data is scarce, expensive, or privacy-sensitive.

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Marktechpost

MARCH 20, 2024

It also opens up new avenues for content creation, where AI can assist or even lead the development of written material that feels authentic and engaging. For the AI research community, RAG 2.0 represents a new benchmark in model development. Contextual AI’s RAG 2.0 Conclusion RAG 2.0

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Marktechpost

JULY 20, 2023

In conclusion, Mojo seems to be a promising language for all AI developers. It combines features of Python and C and enables unparalleled programmability of AI hardware and extensibility of AI models. Check out the Resource.

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Unite.AI

OCTOBER 15, 2024

Known as “ Thought Preference Optimization ” (TPO), this method aims to make large language models (LLMs) more thoughtful and deliberate in their responses. The collaborative effort behind TPO brings together expertise from some of the leading institutions in AI research.

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Marktechpost

DECEMBER 11, 2024

Google AI Research introduces Gemini 2.0 Flash, the latest iteration of its Gemini AI model. A key development in Gemini 2.0 Google reports that the new model operates at twice the speed of its predecessor, Gemini 1.5 Jules, a new AI-powered code agent, utilizes Gemini 2.0 The release of Gemini 2.0

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Towards AI

NOVEMBER 10, 2024

As we venture deeper, a fascinating paradox emerges: while AI capabilities surge forward at breakneck speed, our regulatory frameworks struggle to keep pace. Image by Me and AI, My Partner in Crime The Regulatory Catch-22 “Exponential change is coming. Suleyman isn’t just another tech executive theorizing about regulation.

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