AI Weekly

APRIL 25, 2024

Powered by rws.com In the News 80% of AI decision makers are worried about data privacy and security Organisations are hitting stumbling blocks in four key areas of AI implementation: Increasing trust, Integrating GenAI, Talent and skills, Predicting costs. Maybe, but customer service will always require a human touch.

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Unite.AI

JUNE 26, 2023

Cam Linke is the CEO of the Alberta Machine Intelligence Institute (Amii) Over the past 10 years, he has worked as a CEO, investor, community builder, product manager, entrepreneur, academic, and developer. He is also an artificial intelligence researcher, currently studying under Dr. Richard Sutton and Dr. Adam White.

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Unite.AI

DECEMBER 6, 2023

Innovation is key to success in any area of tech, but for artificial intelligence, innovation is more than key – it's essential. The world of AI is moving quickly, and many nations – especially China and Europe – are in a head-to-head competition with the US for leadership in this area.

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Unite.AI

JANUARY 9, 2024

These new soft robots, developed by researchers at North Carolina State University, are redefining the capabilities of autonomous machines with their unique ability to perform three simultaneous behaviors. In the evolving world of robotics, a groundbreaking innovation has emerged: the twisted ringbot.

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AI Weekly

DECEMBER 28, 2023

But in 2024, the technology is likely to reach untold heights and to affect nearly all areas of the investing world, according to technology experts. But in 2024, the technology is likely to reach untold heights and to affect nearly all areas of the investing world, according to technology experts.

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Marktechpost

MAY 4, 2024

Machine learning focuses on creating algorithms that enable computers to learn from data and improve performance over time. One of the major challenges facing machine learning is the opacity surrounding how models make decisions. These frameworks assess LLMs’ reasoning by comparing model performance on novel and known data.

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AI Weekly

JANUARY 25, 2024

Powered by superai.com In the News Mark Zuckerberg’s new goal is creating AGI Fueling the generative AI craze is a belief that the tech industry is on a path to achieving superhuman, god-like intelligence. geeky-gadgets.com After AI’s summer: What’s next for artificial intelligence? million in Series A2 funding. decrypt.co decrypt.co

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Unite.AI

FEBRUARY 16, 2024

Artificial Intelligence (AI) is everywhere. What if there was a type of AI that could learn and think like a human or even surpass human intelligence? This is the vision of Artificial General Intelligence (AGI), a hypothetical form of AI that has the potential to accomplish any intellectual task that humans can.

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Unite.AI

JUNE 15, 2023

Natural Language Processing , commonly referred to as NLP, is a field at the intersection of computer science, artificial intelligence, and linguistics. Typically, professionals working in metropolitan areas or tech hubs command higher salaries than those in smaller cities or rural areas.

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Aiiot Talk

FEBRUARY 23, 2024

As machine learning techniques have improved, more medical manufacturers have turned to AI to streamline and refine their quality assurance (QA). Speedier R&D AI’s advantages in pharmaceutical quality control begin in the research and development (R&D) phase. Machine vision can perform these inspections much faster than humans.

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Unite.AI

NOVEMBER 3, 2023

In a groundbreaking development that promises to reshape the landscape of robotics and prosthetics, researchers at the University of British Columbia (UBC), in collaboration with Honda, have pioneered a smart, stretchable, and remarkably sensitive soft sensor.

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Marktechpost

MAY 2, 2024

This study’s research area is artificial intelligence (AI) and machine learning, specifically focusing on neural networks that can understand binary code. The research addresses a significant problem: understanding what binary code does is difficult because it requires specialized skills and knowledge.

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Aiiot Talk

JANUARY 25, 2024

Data from the system can also shed light on possible improvement areas. However, emergency procedures can’t always wait for a clean room, as is the case in war zones and areas hit by natural disasters. With artificial intelligence and deep learning capabilities, these robots are smarter and more capable than ever.

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Unite.AI

FEBRUARY 28, 2024

The urgency and scale of this issue demand a forward-thinking, adaptable approach to protect coastal areas and ensure their sustainability for future generations. Understanding AI’s Role in Climate Science Artificial intelligence is the simulation of human intelligence in machines, enabling them to think and learn.

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Marktechpost

MARCH 30, 2024

In the ever-evolving landscape of artificial intelligence, the quest for more advanced and capable language models has been a driving force. As the demand for intelligent systems that can understand and generate human-like language grows, the development of LLMs has become a crucial endeavor. The researchers didn’t stop there.

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AI Weekly

SEPTEMBER 7, 2023

In the News AI chip startup d-Matrix raises $110 million with backing from Microsoft Silicon Valley-based artificial intelligence chip startup d-Matrix has raised $110 million from investors that include Microsoft Corp (MSFT.O) Powered by invideo.io at a time when many chip companies are struggling to raise cash. invideo.io invideo.io

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Aiiot Talk

APRIL 13, 2024

Artificial intelligence (AI) is changing how employees work in many industries, making tasks easier and faster. Over the years, it has grown from machines doing simple, repetitive tasks to understanding and predicting human needs. Research shows that 78% of companies rely on cloud computing for their operations.

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Marktechpost

MAY 11, 2024

With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules. All credit for this research goes to the researchers of this project.

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Unite.AI

MAY 8, 2024

Graph Neural Networks (GNNs) have emerged as a powerful deep learning framework for graph machine learning tasks. This allows GNNs to achieve state-of-the-art performance on tasks such as node classification, link prediction, and graph classification across diverse application areas.

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IBM Journey to AI blog

APRIL 21, 2023

“We’re in hills, so some areas need less water, and some areas need more,” said David Chapin, a farmer and IBMer in Lampasas, Texas, that has been helping IBM test water management solutions. New versions of the app and sensor are currently being tested.

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Marktechpost

NOVEMBER 12, 2023

The recent development in the fields of Artificial Intelligence (AI) and Machine Learning (ML) models has turned the discussion of Artificial General Intelligence (AGI) into a matter of immediate practical importance. All credit for this research goes to the researchers of this project. Check out the Paper.

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Marktechpost

MARCH 4, 2024

Artificial intelligence (AI) is rapidly evolving, with researchers tirelessly working to enhance its capabilities and applications. At the forefront of this innovation are generative models pushing the boundaries of what machines can understand and create. It significantly outperforms existing models like GPT-4 and Gemini 1.0

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Marktechpost

JANUARY 18, 2024

Integrating robot scientists and self-driving laboratories has been employed in various areas, such as gene identification, chemical synthesis methodologies, and the discovery of new materials. SAMPLE comprises an intelligent agent and a fully automated robotic system collaboratively working to enhance protein engineering.

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Marktechpost

APRIL 15, 2024

As climate change continuously threatens our planet and the existence of life on it, integrating machine learning (ML) and artificial intelligence (AI) into this arena offers promising solutions to predict and mitigate its impacts effectively.

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Unite.AI

APRIL 16, 2024

With the integration of AI, tasks that were once time-consuming and tedious have been streamlined to enhance efficiency and accuracy in regulatory research. AI-powered tools offer the capability to navigate vast databases, analyze clinical research data, streamline document searches, and access worldwide regulatory news.

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Marktechpost

FEBRUARY 2, 2024

Recent advancements in machine learning and artificial intelligence (ML) techniques are used in all fields. These advanced AI systems have been made possible due to advances in computing power, access to vast amounts of data, and improvements in machine learning techniques.

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IBM Journey to AI blog

APRIL 22, 2024

With 2024 on track to be the hottest year on record , data and AI can be applied to many areas to help supercharge sustainability efforts. Intelligent asset, facility and infrastructure management Leveraging AI to build efficient physical operations, manage costs and reduce the environmental footprint.

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Unite.AI

DECEMBER 3, 2023

In scientific research, collaboration and expert input are crucial, yet often challenging to obtain, especially in specialized fields. Yager’s innovation harnesses the latest in AI and machine learning , tailored for the complexities of scientific domains. This is pivotal for the chatbot's functioning.

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AI Weekly

OCTOBER 26, 2023

Powered by clkmg.com In the News DeepMind chief : AI risk must be treated as seriously as climate crisis Demis Hassabis calls for greater regulation to quell existential fears over tech with above-human levels of intelligence theguardian.com Sponsor Liquid Assets, Solid Returns Want to age your portfolio like fine whiskey? voxeurop.eu

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Marktechpost

APRIL 19, 2024

Artificial intelligence (AI), machine learning, and statistics continually evolve, pushing the boundaries of what machines can learn and predict. The main issue plaguing AI research is the reliance on synthetic data, which often fails to mirror the unpredictable nature of real-world systems.

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Marktechpost

MARCH 17, 2024

In recent years, the field of computer vision has witnessed remarkable progress, pushing the boundaries of how machines interpret complex visual information. In each of these areas, LocalMamba sets new standards of accuracy and efficiency. Its success harmonizes the capture of local image features with a global understanding.

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Marktechpost

FEBRUARY 11, 2024

These models, which interpret visual data and generate corresponding textual descriptions, represent a significant leap towards enabling machines to see and describe the world around us with nuanced understanding akin to human perception. The research team proposes various innovative strategies to refine the core components of LVLMs.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

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Marktechpost

MAY 11, 2024

Information extraction (IE) is a pivotal area of artificial intelligence that transforms unstructured text into structured, actionable data. The research community has observed a critical need for a methodology that enhances LLMs’ understanding of structured tasks and improves execution accuracy. Check out the Paper.

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Large Language Models Prompt Engineer Prompt Engineering Categorization 91

Marktechpost

APRIL 18, 2024

The exploration of artificial intelligence within dynamic 3D environments has emerged as a critical area of research, aiming to bridge the gap between static AI applications and their real-world usability. All credit for this research goes to the researchers of this project. Check out the Paper.

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Marktechpost

DECEMBER 28, 2023

The research field concerned with this study revolves around advancing machine reasoning capabilities. This interdisciplinary field draws upon cognitive science, linguistics, computer science, and artificial intelligence to develop more robust and versatile reasoning mechanisms for machines, especially in complex real-world scenarios.

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Marktechpost

MARCH 10, 2024

Artificial intelligence has shifted towards making large language models (LLMs) more interactive and versatile. Recognizing this limitation, researchers have been working on frameworks that extend these models’ capabilities beyond mere text generation.

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