Unite.AI

MARCH 24, 2024

Central to this advancement in NLP is the development of artificial neural networks, which draw inspiration from the biological neurons in the human brain. These networks emulate the way human neurons transmit electrical signals, processing information through interconnected nodes.

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Unite.AI

MAY 30, 2024

From powering recommendation algorithms on streaming platforms to enabling autonomous vehicles and enhancing medical diagnostics, AI's ability to analyze vast amounts of data, recognize patterns, and make informed decisions has transformed fields like healthcare, finance, retail, and manufacturing.

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TheSequence

MARCH 6, 2025

Created Using Midjourney Artificial intelligence (AI) has pushed modern programming languages beyond their original design constraints. Most AI research relies on Python for ease of use, complemented by low-level languages like C++ or CUDA for performance. Constraints of Current Languages for AI Development Read more

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AI News

AUGUST 20, 2024

Training and running AI programs is resource intensive endeavour, and as things stand, big tech seems to have an upper hand which creates the risk of AI centralisation. Another recent study by Epoch AI confirms this trajectory, with projections showing that it will soon cost billions of dollars to train or run AI programs.

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AI Weekly

JULY 20, 2023

vox.com ChatGPT Out-scores Medical Students on Complex Clinical Care Exam Questions A new study shows AI's capabilities at analyzing medical text and offering diagnoses — and forces a rethink of medical education. techtarget.com Applied use cases AI love: It's complicated Movies have hinted at humans falling for their AI chatbots.

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Unite.AI

NOVEMBER 28, 2024

Here, we explore key milestones in AI's journey, examining its technological breakthroughs and growing impact on the world. 1956 – The Inception of AI The journey began in 1956 when the Dartmouth Conference marked the official birth of AI.

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Unite.AI

FEBRUARY 6, 2025

By following ethical guidelines, learners and developers alike can prevent the misuse of AI, reduce potential risks, and align technological advancements with societal values. This divide between those learning how to implement AI and those interested in developing it ethically is colossal.

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AI Weekly

FEBRUARY 20, 2025

In The News Microsoft unveils chip it says could bring quantum computing within years Quantum computers could be built within years rather than decades, according to Microsoft, which has unveiled a breakthrough that it said could pave the way for faster development. No overhead, no delays What once took weeks now takes minutes.

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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. Visit Llama 3.1 → 4. Advanced Architecture: Gemini 1.5

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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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AI Researcher AI Research Computer Vision Neural Network 111

AI Weekly

JUNE 29, 2023

mit.edu Ethics AI ChatGPT Responds to UN’s Proposed Code of Conduct to Monitor AI Achieving a global consensus on the specifics of the code of conduct might be challenging, as different countries and stakeholders may have differing views on AI development, applications, and regulation. You can also subscribe via email.

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Algorithm ChatGPT Convolutional Neural Networks Robotics 244

Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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Unite.AI

DECEMBER 14, 2023

QuadAttac K : A Tool for Unmasking Vulnerabilities In response to these findings, Wu and his team developed QuadAttac K , a pioneering piece of software designed to systematically test deep neural networks for adversarial vulnerabilities. It then manipulates the data to test the AI's vulnerability.

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NVIDIA

FEBRUARY 11, 2025

They said transformer models , large language models (LLMs), vision language models (VLMs) and other neural networks still being built are part of an important new category they dubbed foundation models. Earlier neural networks were narrowly tuned for specific tasks.

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Unite.AI

OCTOBER 22, 2024

We use Big O notation to describe this growth, and quadratic complexity O(n²) is a common challenge in many AI tasks. AI models like neural networks , used in applications like Natural Language Processing (NLP) and computer vision , are notorious for their high computational demands.

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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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AI Researcher AI Research Computer Vision Neural Network 98

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.

AI Researcher 98

AI Researcher AI Research Computer Vision Neural Network 98

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

JULY 24, 2024

In the consumer technology sector, AI began to gain prominence with features like voice recognition and automated tasks. Over the past decade, advancements in machine learning, Natural Language Processing (NLP), and neural networks have transformed the field.

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Kavita Ganesan

JANUARY 27, 2022

It provides an introduction to deep neural networks in Python. Andrew is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. Neural Network Basics We will start with some basics on neural networks. Everything is a number.

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Unite.AI

JULY 25, 2023

For instance, many blogs today feature AI-generated text powered by LLMs (Large Language Modules) like ChatGPT or GPT-4. Many data sources contain AI-generated images created using DALL-E2 or Midjourney. Moreover, AI researchers are using synthetic data generated using Generative AI in their model training pipelines.

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NVIDIA

OCTOBER 11, 2024

By 2011, AI researchers had discovered NVIDIA GPUs and their ability to handle deep learning’s immense processing needs. Researchers at Google, Stanford and New York University began using NVIDIA GPUs to accelerate AI development, achieving performance that previously required supercomputers.

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Towards AI

FEBRUARY 17, 2025

In this blog, well explore the DeepSeek AI model architecture in detail, uncovering the technical innovations that make it a standout in the crowded field of generative AI. DeepSeek AI developers concentrated on scalable and efficient design because it differed from GPT-4 and PaLM-2.

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Marktechpost

JUNE 14, 2024

Its AI courses, taught by leading experts, offer comprehensive and practical knowledge, equipping students with the skills to tackle real-world challenges and drive future AI developments. This beginner-friendly program, developed by DeepLearning.AI

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Marktechpost

DECEMBER 16, 2023

Researchers aim to reduce the energy consumption that can be removed without throughput loss in large language model training. Balancing every stage is impossible as Deep Neural Networks(DNN) are coarse-grained tensor operations with varying amounts of computation. Check out the Paper.

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Unite.AI

JUNE 21, 2024

NVIDIA's commitment to open-source initiatives has been a driving force behind the widespread adoption of CUDA in the AI research community. Projects like cuDNN , cuBLAS , and NCCL are available as open-source libraries, enabling researchers and developers to leverage the full potential of CUDA for their deep learning.

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Marktechpost

JUNE 30, 2024

Optimizing the efficiency of Feedforward Neural Networks (FFNs) within Transformer architectures is a significant challenge in AI. Efficiently addressing this challenge is crucial for promoting sustainable AI practices and making advanced AI technologies more accessible by reducing operational costs.

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IBM Journey to AI blog

APRIL 18, 2024

However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption. The exact nature of general intelligence in AGI remains a topic of debate among AI researchers. The skills gap in gen AI development is a significant hurdle.

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Pickl AI

DECEMBER 26, 2024

Summary: Amazon’s Ultracluster is a transformative AI supercomputer, driving advancements in Machine Learning, NLP, and robotics. Its high-performance architecture accelerates AI research, benefiting healthcare, finance, and entertainment industries. Frequently Asked Questions What is Amazons Ultracluster?

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Computer Vision Natural Language Processing Robotics Machine Learning 52

Unite.AI

AUGUST 27, 2024

The choice of programming language in Artificial Intelligence (AI) development plays a vital role in determining the efficiency and success of a project. These languages impact everything from the performance and scalability of AI systems to the speed at which solutions can be developed and deployed.

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Towards AI

MARCH 6, 2025

Youll build projects, use LLMs as coding assistants, and develop the problem-solving mindset that AI development demands. Heres what youll get: Learn Python by building real AI applications Every concept is tied to a practical, real-world use case. In this course, you wont just go through Python fundamentals.

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TheSequence

FEBRUARY 2, 2025

The benchmark provides a clear measure of AI capabilities at the frontier of human knowledge. The low accuracy and poor calibration demonstrated by current LLMs underscore the need for continued advancements in AI development, ensuring we are able to accurately measure AI progress.

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Large Language Models LLM Neural Network OpenAI 59

Becoming Human

MARCH 16, 2023

These branches include supervised and unsupervised learning, as well as reinforcement learning, and within each, there are various algorithmic techniques that are used to achieve specific goals, such as linear regression, neural networks, and support vector machines. Data When it comes to AI, it always comes down to input data.

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Marktechpost

FEBRUARY 29, 2024

The rapidly developing field of Artificial Intelligence (AI) has seen a major advancement in technologies, including generative AI, deep neural networks, and Large Language Models (LLMs). AI has a wide range of effects on society, including effects on production, health, finance, and education.

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ODSC - Open Data Science

FEBRUARY 29, 2024

If you’re curious, here are eight AI research labs that are leading the way in AI research that you’d want to keep an eye on. From responsible AI to protein discovery and more, The MIT Media Lab aims to drive AI research to create a “transformative future” while working toward the social good.

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Marktechpost

JUNE 27, 2023

Artificial intelligence (AI) has made considerable advances over the past few years, becoming more proficient at activities previously only performed by humans. Yet, hallucination is a problem that has become a big obstacle for AI. They rely on massive visual training data in convolutional neural networks.

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AI Impacts

JULY 20, 2023

May) Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities. Further progress in AI development could lead to capabilities that pose extreme risks, such as offensive cyber capabilities or strong manipulation skills. What does it take to catch a Chinchilla?

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