AI Weekly

NOVEMBER 23, 2023

forbes.com Applied use cases From Data To Diagnosis: A Deep Learning Approach To Glaucoma Detection When the algorithm is implemented in clinical practice, clinicians collect data such as optic disc photographs, visual fields, and intraocular pressure readings from patients and preprocess the data before applying the algorithm to diagnose glaucoma.

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Unite.AI

JANUARY 26, 2024

This entirely AI-powered newsletter leverages a deep neural network to highlight major breakthroughs in AI and its allied fields. AI Integration in the Internet of Things (IoT) : Analyzing how AI algorithms enhance the functionality and efficiency of IoT devices. I anticipate that the Unite.AI

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AI Weekly

JANUARY 25, 2024

ft.com OpenAI starts investing in robotics companies The company has secured a whopping $100 million in funding, with OpenAI’s startup fund contributing $23.5 Rapid AI innovation has fueled future predictions, as well, including everything from friendly home robots to artificial general intelligence (AGI) within a decade. decrypt.co

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Heartbeat

MARCH 14, 2023

As robots need to be able to pick up on their surroundings and adapt accordingly, this is a crucial skill for the field. In this article, I would like to take a look at the current challenges in the field of robotics and discuss the relevance and applications of computer vision in this area.

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NVIDIA

OCTOBER 26, 2023

The Woods Hole Oceanographic Institution (WHOI) Autonomous Robotics and Perception Laboratory ( WARPLab ) and MIT are developing a robot for studying coral reefs and their ecosystems. The robot runs an expanding collection of NVIDIA Jetson-enabled edge AI to build 3D models of reefs and to track creatures and plant life.

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AI Weekly

DECEMBER 21, 2023

engadget.com Robotics and AI in the Global South The divide between the Global North and Global South has largely been based on socioeconomic and political factors, with consequential effects on many aspects, including scientific research excellence and innovation.

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AI Weekly

MARCH 21, 2024

Robotics Disney showcasing latest robots at Robotics Summit & Expo If you’ve ever been to a Disney park, you’ve probably interacted with work from Disney’s Imagineering team. Founded in 1952, the team is tasked with bringing our favorite characters from the screen into the real world using cutting-edge robotics technology.

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AI Weekly

SEPTEMBER 21, 2023

forbes.com Robotics A Soft Robot to Probe Asteroids Meet GE Aerospace’s Sensiworm (Soft ElectroNics Skin-Innervated Robotic Worm), a highly intelligent, acutely sensitive soft robot that could serve as extra sets of eyes and ears for Aerospace service operators inside the engine. [Get your FREE eBook.]

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Marktechpost

APRIL 24, 2024

This article introduces deep reinforcement learning models, algorithms, and techniques. It will cover a brief history of deep RL, a basic theoretical explanation of deep RL networks, state-of-the-art deep RL algorithms, major application areas, and the future research scope in the field.

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AI Weekly

JULY 13, 2023

In The News Robots at United Nations Summit in Geneva : we have no plans to steal jobs or rebel against humans Robots have no plans to steal the jobs of humans or rebel against their creators, but would like to make the world their playground, nine of the most advanced humanoid robots have told an artificial intelligence summit in Geneva.

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Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. Below, we highlight a panoply of works that demonstrate Google Research’s efforts in developing new algorithms to address the above challenges.

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AI Weekly

DECEMBER 14, 2023

theconversation.com Scientists Preparing to Turn on Computer Intended to Simulate Entire Human Brain Researchers at Western Sydney University in Australia have teamed up with tech giants Intel and Dell to build a massive supercomputer intended to simulate neural networks at the scale of the human brain. Who's a good boy?

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Marktechpost

FEBRUARY 24, 2024

Policy representations such as feed-forward neural networks, energy-based models, and diffusion have all been investigated in earlier research. Consider it a policy whose parameters define the cost function and the dynamics function, in this case represented by neural networks.

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Unite.AI

FEBRUARY 19, 2024

Existing scholarly works predominantly present the theoretical foundations of Robotic Process Automation (RPA) or its industry-specific implications within specific domains, notably finance, manufacturing, or healthcare. AI Bias Dilemma : Confronting inherent biases in algorithms and ensuring impartiality in decision outcomes.

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AI Weekly

DECEMBER 28, 2023

forbes.com How Machine Learning Algorithms Work in Face Recognition Deep Learning? techiexpert.com Robotics The AI-Robot Wars: Is Dystopian Science Fiction Becoming a Reality? Use of Copyrighted Work Millions of articles from The New York Times were used to train chatbots that now compete with it, the lawsuit said.

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Marktechpost

MARCH 11, 2024

Value functions, implemented with neural networks, undergo training via mean squared error regression to align with bootstrapped target values. However, upscaling value-based RL methods utilizing regression for extensive networks, like high-capacity Transformers, has posed challenges.

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Unite.AI

FEBRUARY 16, 2024

Despite achieving remarkable results in areas like computer vision and natural language processing , current AI systems are constrained by the quality and quantity of training data, predefined algorithms, and specific optimization objectives.

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Unite.AI

JULY 25, 2023

. “As automated driving applications or other robotic systems are taught new things, it's important that they don't forget the lessons they've already learned for our safety and theirs,” Shroff said. The research brings to light the factors that contribute to the length of time an artificial network retains specific knowledge.

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Pickl AI

APRIL 25, 2023

There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. There are various Machine Learning algorithms including regression and classification algorithms. What is Robotics? What is Neural Network?

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Marktechpost

MAY 8, 2024

These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution. DRL models, such as Deep Q-Networks (DQN), estimate optimal action policies by training neural networks to approximate the maximum expected future rewards.

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IBM Journey to AI blog

FEBRUARY 14, 2024

The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs.

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Pickl AI

APRIL 19, 2024

Key Takeaways AI encompasses machine learning, neural networks, NLP, and robotics. Neural Networks: Inspired by the human brain’s structure, neural networks are algorithms that allow machines to recognise patterns and make decisions based on input data.

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Marktechpost

MAY 6, 2024

Researchers in computer vision and robotics consistently strive to improve autonomous systems’ perception capabilities. Developing new methods and algorithms allows for innovations that benefit various industries, including transportation, manufacturing, and healthcare.

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Analytics Vidhya

JANUARY 27, 2022

There are various deep learning algorithms that bring Machine Learning to a new level, allowing robots to learn to discriminate tasks utilizing the human […]. Introduction Over the past several years, groundbreaking developments in machine learning and artificial intelligence have reshaped the world around us.

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Viso.ai

JANUARY 18, 2024

This process is fundamental to the transmission of information throughout our extensive neural network. The resulting interplay of excitatory and inhibitory signals forms the basis of information processing and transmission within the neural network. This helps prevent neural networks from vanishing gradients.

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ODSC - Open Data Science

MARCH 11, 2024

REGISTER NOW AlphaStar Using general-purpose machine learning techniques, which include neural networks, self-play via reinforcement learning, multi-agent learning, and imitation learning, AlphaStar is the first AI to reach the top league of a widely popular esport without any game restrictions.

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Pickl AI

JUNE 5, 2023

From automated cars, to robots being your friend, these are no more a part of fictional story, they are here and are transforming our lives. Deep Learning is a subset of Machine Learning where neural networks have a significant role. The Deep Learning algorithms are designed and developed akin to the human brain.

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Marktechpost

JULY 20, 2023

To assist with this problem, researchers develop a U3DTT technology, which stands for ‘underwater three-dimensional tactile tensegrity’ The U3DTT works on deep learning algorithms like Neural networks, Autoencoders, and Boltzmann machines. The U3DTT device is automated with a robot that provides 3D sensing feedback.

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BAIR

JULY 14, 2023

This gives us an algorithm that we call reward-weighted regression (RWR), after existing algorithms from RL literature. One is that RWR is not a particularly exact algorithm — it maximizes the reward only approximately (see Nair et. Incompressibility: How hard is the image to compress using the JPEG algorithm?

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Towards AI

APRIL 8, 2023

Artificial Intelligence has rapidly become one of the most important fields of science, with applications ranging from image recognition and natural language processing to self-driving cars and robotics. However, its evolution has been following the same patterns as the famous Moore’s law. Join thousands of data leaders on the AI newsletter.

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Aiiot Talk

DECEMBER 12, 2023

Researchers from MIT also trained a deep-learning neural network algorithm for their SensiCut innovation. ” This platform can identify common materials used in laser engraving and cutting workshops. Users then get personalized guidance about speed and power settings for the machine.

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Unite.AI

DECEMBER 7, 2023

It's widely used in scenarios like game-playing and robotics, allowing computers to learn optimal decision-making through a process of trial and error. A-star Search: A-star is a search algorithm which help computers explore possibilities and find the best solution to solve a problem.

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Marktechpost

OCTOBER 4, 2023

Both approaches still need significant labor or data collecting, and the neural network-based reward models need to be more comprehensible and unable to generalize outside the training data’s domains. Then, an RL algorithm like PPO or SAC uses dense reward coding to train a policy (Figure 1 right).

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Marktechpost

OCTOBER 17, 2023

These techniques have found application in various domains, including autonomous vehicle navigation and robot arm manipulation. In this research, the authors have redefined the conventional A* search algorithm differently and combined it with a convolutional encoder to create a fully trainable end-to-end neural network planner.

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Pickl AI

JULY 14, 2023

Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications. Techniques such as decision trees, support vector machines, and neural networks gained popularity.

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Heartbeat

AUGUST 1, 2023

Surely research in this field yielded results that could be used without requiring neural networks. Scale-Invariant Feature Transform (SIFT) This is an algorithm created by David Lowe in 1999. It is a potent force for many applications and has widespread use in fields such as robotics and object detection.

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Heartbeat

MAY 30, 2023

What are Generative Adversarial Networks (GANs)? GANs are a type of neural network design used to develop new data samples that are similar to the training data. This machine learning subset uses artificially generated neural networks to model complex data relationships. Assume you’re teaching your pet new tricks.

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