The article discusses a novel method for extracting 3D geometries from 2D images using a geometric-aware optimization scheme to handle inaccuracies in generated data.
Researchers Pit GPT-3.5 Against Classic Language Tools in Polish Text Analysis | HackerNoon
The study enhances evaluation methods for natural language preprocessing tools, comparing traditional and modern approaches.
ClassBD Outperforms Competitors in Real-World Bearing Fault Diagnosis Using PU Dataset | HackerNoon
The PU dataset presents a complex challenge with diverse bearing faults, crucial for advancing fault diagnosis methods.
ClassBD: A New Method for Enhanced Bearing Fault Diagnosis in Noisy Environments | HackerNoon
ClassBD enhances bearing fault diagnosis performance by integrating neural deconvolution filters with deep learning classifiers, particularly under heavy noise conditions.
ClassBD Outperforms Competitors in Real-World Bearing Fault Diagnosis Using PU Dataset | HackerNoon
The PU dataset presents a complex challenge with diverse bearing faults, crucial for advancing fault diagnosis methods.
ClassBD: A New Method for Enhanced Bearing Fault Diagnosis in Noisy Environments | HackerNoon
ClassBD enhances bearing fault diagnosis performance by integrating neural deconvolution filters with deep learning classifiers, particularly under heavy noise conditions.
Generative AI Defined: How It Works, Benefits and Dangers
Generative AI can create text, images, and code based on user prompts.
Deep learning and neural networks are essential components of generative AI models.
How AI is reshaping science and society
The evolution of AI, particularly through deep learning and neural networks, is crucial in shaping human cognition and the future of technology.
How AI is reshaping science and society
AI models like AlphaFold and ChatGPT demonstrate the profound potential of deep learning technologies in transforming human cognition and predictive analysis.
What Is Generative AI: Unleashing Creative Power
Generative AI creates new content based on existing data using deep learning and neural networks.
AI's black box problem: Why is it still indecipherable to researchers
Neural networks operate as a black box, limiting transparency even for specialized researchers.
AI can't learn new things forever - an algorithm can fix that
AI's adaptability can be improved by reactivating dormant neurons in neural networks.
Video games played a significant role in enhancing mental well-being during the pandemic.
Generative AI Defined: How It Works, Benefits and Dangers
Generative AI can create text, images, and code based on user prompts.
Deep learning and neural networks are essential components of generative AI models.
How AI is reshaping science and society
The evolution of AI, particularly through deep learning and neural networks, is crucial in shaping human cognition and the future of technology.
How AI is reshaping science and society
AI models like AlphaFold and ChatGPT demonstrate the profound potential of deep learning technologies in transforming human cognition and predictive analysis.
What Is Generative AI: Unleashing Creative Power
Generative AI creates new content based on existing data using deep learning and neural networks.
AI's black box problem: Why is it still indecipherable to researchers
Neural networks operate as a black box, limiting transparency even for specialized researchers.
AI can't learn new things forever - an algorithm can fix that
AI's adaptability can be improved by reactivating dormant neurons in neural networks.
Video games played a significant role in enhancing mental well-being during the pandemic.
Why OpenAI might be hedging its bets on quantum AI
Quantum computing may help address AI's computational needs
Quantum computing can enhance efficiency of training large AI models.
TokenFlow's Implementation Details: Everything That We Used | HackerNoon
Efficient runtime in video editing is achieved with DDIM inversion and Stable Diffusion, resulting in reduced editing times.
Hardware-Aware Algorithm for Selective State Space Models | HackerNoon
Selective State Space Models (SSMs) improve efficiency in training foundation models on GPUs, being significantly faster and memory-efficient compared to traditional models.
Why OpenAI might be hedging its bets on quantum AI
Quantum computing may help address AI's computational needs
Quantum computing can enhance efficiency of training large AI models.
TokenFlow's Implementation Details: Everything That We Used | HackerNoon
Efficient runtime in video editing is achieved with DDIM inversion and Stable Diffusion, resulting in reduced editing times.
Hardware-Aware Algorithm for Selective State Space Models | HackerNoon
Selective State Space Models (SSMs) improve efficiency in training foundation models on GPUs, being significantly faster and memory-efficient compared to traditional models.
How do neural networks learn? A mathematical formula explains how they detect relevant patterns
Neural networks are powerful but often viewed as black boxes by engineers.
Researchers at UC San Diego developed a formula to explain how neural networks learn and make predictions.
Nobel Prize: Hopfield, Hinton win 2024 physics award DW 12/10/2024
The Nobel Prize in Physics was awarded to John Hopfield and Geoffrey Hinton for pioneering work in artificial neural networks and machine learning.
'Godfather of AI' Geoffrey Hinton Shares Nobel Prize for Work in Machine Learning
The 2024 Nobel Prize in Physics recognizes Geoffrey Hinton and John Hopfield for their foundational contributions to machine learning and AI technologies.
AI pioneers win Nobel Prize in physics
John Hopfield and Geoffrey Hinton received the Nobel Prize in Physics for their foundational contributions to machine learning and its societal impacts.
Shedding light on AI's black box
Understanding the mechanics and biases of AI models is crucial, especially for high-stakes applications like medical diagnostics.
Opinion | How Does A.I. Think? Here's One Theory.
AI has advanced faster than our ability to manage its complexities and risks, particularly concerning manipulation and deception.
How do neural networks learn? A mathematical formula explains how they detect relevant patterns
Neural networks are powerful but often viewed as black boxes by engineers.
Researchers at UC San Diego developed a formula to explain how neural networks learn and make predictions.
Nobel Prize: Hopfield, Hinton win 2024 physics award DW 12/10/2024
The Nobel Prize in Physics was awarded to John Hopfield and Geoffrey Hinton for pioneering work in artificial neural networks and machine learning.
'Godfather of AI' Geoffrey Hinton Shares Nobel Prize for Work in Machine Learning
The 2024 Nobel Prize in Physics recognizes Geoffrey Hinton and John Hopfield for their foundational contributions to machine learning and AI technologies.
AI pioneers win Nobel Prize in physics
John Hopfield and Geoffrey Hinton received the Nobel Prize in Physics for their foundational contributions to machine learning and its societal impacts.
Shedding light on AI's black box
Understanding the mechanics and biases of AI models is crucial, especially for high-stakes applications like medical diagnostics.
Opinion | How Does A.I. Think? Here's One Theory.
AI has advanced faster than our ability to manage its complexities and risks, particularly concerning manipulation and deception.
Bridging Geometry and Deep Learning: Key Developments in SPD and Grassmann Networks | HackerNoon
The paper develops novel layers for SPD neural networks and extends GCNs to Grassmann geometry, achieving effective results in action recognition and classification tasks.
New Riemannian Networks Outperform Traditional Models in Action Recognition and Node Classification | HackerNoon
GyroSpd++ integrates MLR layers, significantly enhancing action recognition accuracy in diverse datasets compared to existing models.
Bridging Geometry and Deep Learning: Key Developments in SPD and Grassmann Networks | HackerNoon
The paper develops novel layers for SPD neural networks and extends GCNs to Grassmann geometry, achieving effective results in action recognition and classification tasks.
New Riemannian Networks Outperform Traditional Models in Action Recognition and Node Classification | HackerNoon
GyroSpd++ integrates MLR layers, significantly enhancing action recognition accuracy in diverse datasets compared to existing models.
Scientists who built 'foundation' for AI awarded Nobel Prize
Geoffrey Hinton, a pioneer of AI, expresses regret over his work due to concerns about AI's potential risks.
From the 'godfathers of AI' to newer people in the field: Here are 17 people you should know - and what they say about the possibilities and dangers of the technology.
Geoffrey Hinton regrets advancing AI technology while warning of its potential misuse, advocating for urgent AI safety measures.
AI pioneers Geoffrey Hinton and John Hopfield win Nobel Prize for Physics
Geoffrey Hinton and John Hopfield were awarded the Nobel Prize in Physics for their groundbreaking contributions to artificial neural networks.
Nobel laureate Geoffrey Hinton is both AI pioneer and frontman of alarm
Hinton's discovery of neural networks revolutionized AI but now raises significant safety concerns about the future impact of this technology.
Nobel laureate Geoffrey Hinton is both AI pioneer and frontman of alarm
Geoffrey Hinton warns of the dangers of AI technology, emphasizing humanity's lack of understanding and the potential for machines to surpass human intelligence.
An A.I. Pioneer Reflects on His Nobel Moment in an Interview
Hopfield and Hinton won the Nobel Prize in Physics for their contributions to artificial neural networks.
Scientists who built 'foundation' for AI awarded Nobel Prize
Geoffrey Hinton, a pioneer of AI, expresses regret over his work due to concerns about AI's potential risks.
From the 'godfathers of AI' to newer people in the field: Here are 17 people you should know - and what they say about the possibilities and dangers of the technology.
Geoffrey Hinton regrets advancing AI technology while warning of its potential misuse, advocating for urgent AI safety measures.
AI pioneers Geoffrey Hinton and John Hopfield win Nobel Prize for Physics
Geoffrey Hinton and John Hopfield were awarded the Nobel Prize in Physics for their groundbreaking contributions to artificial neural networks.
Nobel laureate Geoffrey Hinton is both AI pioneer and frontman of alarm
Hinton's discovery of neural networks revolutionized AI but now raises significant safety concerns about the future impact of this technology.
Nobel laureate Geoffrey Hinton is both AI pioneer and frontman of alarm
Geoffrey Hinton warns of the dangers of AI technology, emphasizing humanity's lack of understanding and the potential for machines to surpass human intelligence.
An A.I. Pioneer Reflects on His Nobel Moment in an Interview
Hopfield and Hinton won the Nobel Prize in Physics for their contributions to artificial neural networks.
Google DeepMind Unveils New Approach to Meta-Learning
Meta-learning is crucial for advancing artificial general intelligence.
Google DeepMind integrates Solomonoff Induction with neural networks for improved meta-learning.
AI models can't learn as they go along like humans do
AI algorithms cannot learn from new data after initial training, forcing companies to retrain models from scratch, which is costly and inefficient.
AI research gets two Nobel wins in one week
The recognition of AI's foundational research has surged recently alongside breakthroughs in applications like chatbots and protein folding.
Nobel Prizes awarded highlight the profound, long-term contributions of early AI research to modern science.
Researchers highlight Nobel-winning AI breakthroughs and call for interdisciplinary innovation
The 2024 Nobel Prizes illustrate the crucial intersection of physics, chemistry, and AI, driving advancements in artificial intelligence.
AI is having its Nobel moment. Do scientists need the tech industry to sustain it?
AI's commercial success is now recognized in science, with Geoffrey Hinton and two Google employees winning Nobel Prizes for their foundational work.
Artificial Intelligence Will Let Humanity Talk to Alien Civilizations
AI advancements reshape space exploration, prompting a reevaluation of the search for extraterrestrial intelligence by leveraging large language models and neural networks.
Google DeepMind Unveils New Approach to Meta-Learning
Meta-learning is crucial for advancing artificial general intelligence.
Google DeepMind integrates Solomonoff Induction with neural networks for improved meta-learning.
AI models can't learn as they go along like humans do
AI algorithms cannot learn from new data after initial training, forcing companies to retrain models from scratch, which is costly and inefficient.
AI research gets two Nobel wins in one week
The recognition of AI's foundational research has surged recently alongside breakthroughs in applications like chatbots and protein folding.
Nobel Prizes awarded highlight the profound, long-term contributions of early AI research to modern science.
Researchers highlight Nobel-winning AI breakthroughs and call for interdisciplinary innovation
The 2024 Nobel Prizes illustrate the crucial intersection of physics, chemistry, and AI, driving advancements in artificial intelligence.
AI is having its Nobel moment. Do scientists need the tech industry to sustain it?
AI's commercial success is now recognized in science, with Geoffrey Hinton and two Google employees winning Nobel Prizes for their foundational work.
Artificial Intelligence Will Let Humanity Talk to Alien Civilizations
AI advancements reshape space exploration, prompting a reevaluation of the search for extraterrestrial intelligence by leveraging large language models and neural networks.
Can we manipulate AI as much as it manipulates us?
AI optimization could revolutionize reputation management similar to search engine optimization, challenging skepticism about AI's complexity and data handling.
AI is vulnerable to attack. Can it ever be used safely?
Adversarial examples can deceive neural-network classifiers and expose differences in AI algorithms.
OpenAI's budget GPT-4o mini model is now cheaper to fine-tune, too
Prompt engineering is essential for engaging with generative AI chatbots. OpenAI offers cost-effective fine-tuning for its GPT-40 mini model.
Can we manipulate AI as much as it manipulates us?
AI optimization could revolutionize reputation management similar to search engine optimization, challenging skepticism about AI's complexity and data handling.
AI is vulnerable to attack. Can it ever be used safely?
Adversarial examples can deceive neural-network classifiers and expose differences in AI algorithms.
OpenAI's budget GPT-4o mini model is now cheaper to fine-tune, too
Prompt engineering is essential for engaging with generative AI chatbots. OpenAI offers cost-effective fine-tuning for its GPT-40 mini model.
How a stubborn computer scientist accidentally launched the deep learning boom
ImageNet revolutionized AI research by providing a vast labeled dataset that challenged and overcame existing skepticism about the role of data in machine learning.
OpenAI, Intel, and Qualcomm talk AI compute at legendary Hot Chips conference
The Hot Chips conference showcases advancements in AI chip technology, emphasizing neural network capabilities and significant industry participation.
New AI model can hallucinate a game of 1993's Doom in real time
GameNGen is a groundbreaking AI model that simulates Doom in real-time, reshaping possibilities for video game graphics generation.
google AI and harvard researchers release detailed images of human brain using 3D mapping
Detailed images of human brain and neural networks created using AI and 3D mapping.
11 Best Neural Network Software for 2024 | ClickUp
The interest in AI has surged due to advancements like ChatGPT, leading to the development of powerful neural network software tools for various AI tasks.
How a stubborn computer scientist accidentally launched the deep learning boom
ImageNet revolutionized AI research by providing a vast labeled dataset that challenged and overcame existing skepticism about the role of data in machine learning.
OpenAI, Intel, and Qualcomm talk AI compute at legendary Hot Chips conference
The Hot Chips conference showcases advancements in AI chip technology, emphasizing neural network capabilities and significant industry participation.
New AI model can hallucinate a game of 1993's Doom in real time
GameNGen is a groundbreaking AI model that simulates Doom in real-time, reshaping possibilities for video game graphics generation.
google AI and harvard researchers release detailed images of human brain using 3D mapping
Detailed images of human brain and neural networks created using AI and 3D mapping.
11 Best Neural Network Software for 2024 | ClickUp
The interest in AI has surged due to advancements like ChatGPT, leading to the development of powerful neural network software tools for various AI tasks.
Classification of Computing in Memory Principles - Digital Computing in Memory Vs. Analog Computing | HackerNoon
Digital computing in memory enhances arithmetic power while addressing power consumption, supporting neural network applications.
Top 5 Best AI Text Generators You Can Try for Free
The article highlights top AI tools for text generation, emphasizing those that offer free trials or services for users.
Jasper AI and Copy.ai are standout tools for marketers and writers seeking efficient content creation.
The big question mark at the center of Tesla's self-driving Robotaxi
Tesla's Robotaxi relies on a unique approach using neural networks and cameras, but raises safety and reliability concerns compared to competitors.
Augmented Intelligence claims its symbolic AI can make chatbots more useful | TechCrunch
Symbolic AI is emerging as a scalable alternative to neural networks, offering distinct advantages for specific tasks in AI applications.
Viggle makes controllable AI characters for memes and visualizing ideas | TechCrunch
Viggle AI creates videos with realistic character motion using a unique model that understands physics, differentiating itself from other AI video generators.
Google Gemini is the Pixel 9's default assistant | TechCrunch
Gemini is now the default assistant for Pixel 9 phones, replacing Google Assistant. Users can still opt for the 'legacy assistant.'
Introduction to CNN
CNNs use convolution as a mathematical operation, replacing general matrix multiplication in at least one layer for identifying features in images.
The Extreme LLM Compression Evolution: From QuIP to AQLM With PV-Tuning | HackerNoon
Large language models can be compressed from 16 to 2 bits using methods like AQLM and PV-Tuning, enabling significant model size reduction.
Real-Time AI At The Edge May Require A New Network Solution
AI solutions differ between data centers and edge platforms, requiring unique approaches for accuracy and performance at the edge.
A physics-informed deep learning framework for solving elastodynamic wave equations on rate-and-state frictional faults is presented, showing effective inference of subsurface friction parameters.
Llama 3.1 is an open-source model with 405 billion neural weights, larger than prominent models, showcasing innovative engineering choices for improved stability and training.
Anthropic takes a look into the 'black box' of AI models
Anthropic researchers make progress in understanding how large AI models 'think'.
No One Truly Knows How AI Systems Work. A New Discovery Could Change That
AI developers struggle to understand inner workings of AI models, posing risks for safety and transparency.
3 ways Meta's Llama 3.1 is an advance for Gen AI
Llama 3.1 is an open-source model with 405 billion neural weights, larger than prominent models, showcasing innovative engineering choices for improved stability and training.
Anthropic takes a look into the 'black box' of AI models
Anthropic researchers make progress in understanding how large AI models 'think'.
No One Truly Knows How AI Systems Work. A New Discovery Could Change That
AI developers struggle to understand inner workings of AI models, posing risks for safety and transparency.
Anthropic's Generative AI Research Reveals More About How LLMs Affect Security and Bias
Interpretable features extracted from large language models can help tune generative AI and assess safety during deployment.
AWS CISO: In AI gold rush, folks forget application security
Corporations rushing to implement AI overlook application security, especially in generative AI.
Securing AI involves three layers: training environment, tools for running applications, and application security on top.
Lack of attention to application security in AI deployment poses risks of data misuse and exploitation.
Here's what's really going on inside an LLM's neural network
Interpreting generative AI systems like Claude LLMs is challenging due to non-interpretable neural networks, but Anthropic's research introduces methods for understanding the model's neuron activations.
Anthropic's Generative AI Research Reveals More About How LLMs Affect Security and Bias
Interpretable features extracted from large language models can help tune generative AI and assess safety during deployment.
AWS CISO: In AI gold rush, folks forget application security
Corporations rushing to implement AI overlook application security, especially in generative AI.
Securing AI involves three layers: training environment, tools for running applications, and application security on top.
Lack of attention to application security in AI deployment poses risks of data misuse and exploitation.
Here's what's really going on inside an LLM's neural network
Interpreting generative AI systems like Claude LLMs is challenging due to non-interpretable neural networks, but Anthropic's research introduces methods for understanding the model's neuron activations.
Transfer learning in neural networks leverages existing knowledge to solve similar but different problems, improving convergence and reducing loss during training.
Dutch researchers launch - oh, really? - an AI sarcasm detector
AI can be trained to recognize sarcasm with the help of non-verbal cues.
Studying Mouse Reactions to an Optical Illusion Can Teach Us about Consciousness
Optical illusions reveal insights into visual perception in mice by studying the neon-color-spreading illusion.
66 Years Ago, the U.S. Navy Predicted Humanlike Machines Based On This Technology
The Perceptron introduced in 1958 laid the foundations for AI with its learning capabilities and prediction mechanisms.
Modern AI systems, like neural networks, have roots in the Perceptron, but with more layers, nodes, and connections for enhanced performance.
NTIA explores the benefits and risks of open-weight AI models
Open-weight AI systems utilize weighted values to create neural networks.
NTIA seeks public input on navigating the benefits and risks of open-weight AI models.