Pickl AI

JANUARY 29, 2025

Summary: This article presents 10 engaging Deep Learning projects for beginners, covering areas like image classification, emotion recognition, and audio processing. Each project is designed to provide practical experience and enhance understanding of key concepts in Deep Learning. What is Deep Learning?

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Unite.AI

JUNE 25, 2023

The study, published in Nature Machine Intelligence , proposes a groundbreaking hybrid methodology aimed at refining how AI-based machinery senses, interacts, and reacts to its environment in real-time—critical for autonomous vehicles and precision-action robots.

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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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AI Weekly

JANUARY 2, 2025

reuters.com Robotics The Rise of Humanoid Robots in 2024 From expressive dance to home helpers, humanoid robots reached new milestones in 2024. The Top 7 Robotics Stories of 2024 So as we look forward to 2025, here are some of our most interesting and impactful stories of the past year. moderndiplomacy.eu decrypt.co

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NVIDIA

MARCH 19, 2025

The roots of many of NVIDIAs landmark innovations the foundational technology that powers AI, accelerated computing, real-time ray tracing and seamlessly connected data centers can be found in the companys research organization, a global team of around 400 experts in fields including computer architecture, generative AI, graphics and robotics.

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AI Weekly

SEPTEMBER 12, 2024

In the News AI Stocks: The 10 Best AI Companies Artificial intelligence, automation and robotics are disrupting virtually every industry. This innovation marks a significant departure from traditional robotics, which has relied on motor-driven systems for nearly seven decades. Register now dotai.io update and beyond. update and beyond.

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NVIDIA

JANUARY 6, 2025

NVIDIA founder and CEO Jensen Huang kicked off CES 2025 with a 90-minute keynote that included new products to advance gaming, autonomous vehicles, robotics and agentic AI. RTX Neural Shaders use small neural networks to improve textures, materials and lighting in real-time gameplay.

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AI Weekly

AUGUST 10, 2023

dezeen.com New deep learning model can predict passwords from keystroke sound with 95% accuracy A team of researchers in the United Kingdom developed a deep learning model that can accurately predict what you are typing based on the sounds from keyboard keystrokes, Bleeping Computer reported on August 5. 1.41%) (BRK.B

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Unite.AI

MARCH 2, 2025

From early neural networks to todays advanced architectures like GPT-4 , LLaMA , and other Large Language Models (LLMs) , AI is transforming our interaction with technology. For years, deep learning has relied on traditional dense layers, where every neuron in one layer is connected to every neuron in the next.

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Marktechpost

MAY 5, 2024

Graph Neural Network (GNN)–based motion planning has emerged as a promising approach in robotic systems for its efficiency in pathfinding and navigation tasks. This approach leverages GNNs to learn the underlying graph structure of an environment, enabling it to make quick and informed decisions about which paths to take.

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Unite.AI

OCTOBER 5, 2023

This is your third AI book, the first two being: “Practical Deep Learning: A Python-Base Introduction,” and “Math for Deep Learning: What You Need to Know to Understand Neural Networks” What was your initial intention when you set out to write this book? Different target audience.

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Flipboard

AUGUST 2, 2023

In the current artificial intelligence (AI) landscape, the buzz around large language models (LLMs) has led to a race toward creating increasingly larger neural networks. However, not every application can support the computational and memory demands of very large deep learning models.

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Marktechpost

DECEMBER 10, 2024

Artificial Neural Networks (ANNs) have become one of the most transformative technologies in the field of artificial intelligence (AI). Modeled after the human brain, ANNs enable machines to learn from data, recognize patterns, and make decisions with remarkable accuracy. How Do Artificial Neural Networks Work?

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AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation. Get it today!]

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Marktechpost

MAY 8, 2024

Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology. These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution.

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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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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

AUGUST 31, 2023

forbes.com A subcomponent-guided deep learning method for interpretable cancer drug response prediction SubCDR is based on multiple deep neural networks capable of extracting functional subcomponents from the drug SMILES and cell line transcriptome, and decomposing the response prediction. dailymail.co.uk

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AI Weekly

DECEMBER 28, 2023

nytimes.com The AI Trend In Crypto: Best Altcoins And Deep Learning Models The partnership emphasizes generative AI and content recommendation, enabling large-scale, privacy-preserving collaborative training of AI models and the deployment of AI models for personalized content recommendations.

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Analytics Vidhya

MARCH 30, 2022

Introduction AI and machine vision, which were formerly considered futuristic technology, has now become mainstream, with a wide range of applications ranging from automated robot assembly to automatic vehicle guiding, analysis of remotely sensed images, and automated visual inspection. Computer vision and deep learning […].

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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. LLMs have leveraged developments in Deep Reinforcement Learning (DRL), a crucial framework in AI evolution.

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AI Weekly

AUGUST 17, 2023

cmswire.com Why humans can't use NLP to speak with the animals We’ve already got machine-learning systems and natural language processors that can translate human speech into any number of existing languages, and adapting that process to convert animal calls into human-interpretable signals doesn’t seem that big of a stretch.

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AI Weekly

SEPTEMBER 14, 2023

eweek.com Robots that learn as they fail could unlock a new era of AI Asked to explain his work, Lerrel Pinto, 31, likes to shoot back another question: When did you last see a cool robot in your home? The answer typically depends on whether the person asking owns a robot vacuum cleaner: yesterday or never.

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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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AI Weekly

DECEMBER 7, 2023

techxplore.com Millions of new materials discovered with deep learning AI tool GNoME finds 2.2 psychologytoday.com Robotics Petrobras Splashes $4MM On Autonomous Visual Inspection Robots In an effort to automate routine inspection activities and improve asset monitoring capabilities, Petroleo Brasileiro S.A.

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NVIDIA

OCTOBER 26, 2023

Researchers are taking deep learning for a deep dive, literally. 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. It also runs models to navigate and collect data autonomously.

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Unite.AI

MARCH 10, 2024

In an era increasingly defined by automation and efficiency, robotics has become a cornerstone of warehouse operations across various sectors, ranging from e-commerce to automotive production. However, this robotic revolution brings its own set of challenges.

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Unite.AI

APRIL 6, 2025

Unlike conventional voice recognition systems, FreshAI employs deep learning models trained on thousands of real-world customer interactions. Using neural network-based entity recognition, it accurately maps spoken requests to menu items, even when customers use ambiguous phrasing or slang.

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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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Bugra Akyildiz

FEBRUARY 26, 2025

Stanford CS224n: Natural Language Processing with Deep Learning Stanford’s CS224n stands as the gold standard for NLP education, offering a rigorous exploration of neural architectures, sequence modeling, and transformer-based systems. S191: Introduction to Deep Learning MIT’s 6.S191

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NVIDIA

OCTOBER 25, 2023

NVIDIA researchers are collaborating with academic centers worldwide to advance generative AI , robotics and the natural sciences — and more than a dozen of these projects will be shared at NeurIPS , one of the world’s top AI conferences. Set for Dec. The model can near-instantly convert text to speech on a single NVIDIA A100 Tensor Core GPU.

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Marktechpost

JULY 7, 2024

Artificial neural networks (ANNs) traditionally lack the adaptability and plasticity seen in biological neural networks. The inability of ANNs to continuously adapt to new information and changing conditions hinders their effectiveness in real-time applications such as robotics and adaptive systems.

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NVIDIA

MAY 6, 2024

Intrinsic, a software and AI robotics company at Alphabet, has integrated NVIDIA AI and Isaac platform technologies to advance the complex field of autonomous robotic manipulation. Foundation models are based on a transformer deep learning architecture that allows a neural network to learn by tracking relationships in data.

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Towards AI

DECEMBER 16, 2024

How You Can Use It: Robotics and AR/VR Systems: Use Vision Mambas lightweight architecture to build real-time vision systems. Kernel Arnold Networks (KAN) Summary: Kernel Arnold Networks (KAN) propose a new way of representing and processing data, challenging traditional deep neural networks.

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NVIDIA

JUNE 29, 2023

Robots are moving goods in warehouses, packaging foods and helping assemble vehicles — when they’re not flipping burgers or serving lattes. Robotics simulation. Robotics Simulation Summarized A robotics simulator places a virtual robot in virtual environments to test the robot’s software without requiring the physical robot.

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Unite.AI

FEBRUARY 6, 2025

Real-world examples of ethics could include whether it is ethical for a companion robot to care for the elderly, for a website bot to give relationship advice, or for automated machines to eliminate jobs performed by humans. Ethics are moral principles intended to guide behavior in the quest to define what is right or wrong.

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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. The basic idea of MoEs is to construct a network from a number of expert sub-networks, where each input is processed by a suitable subset of experts.

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