#neural-networks
#neural-networks

fromCreative Bloq

2 days ago

Someone got an AI to replicate the effects of drugs, and you have to see the results

AI image generators can simulate experiences akin to psychedelics, revealing new possibilities in AI and human interaction.

Artificial intelligence

Silicon Doesn't Dream: Why Computers Lack Brains' Biochemical Magic | HackerNoon

Artificial intelligence

Training AI Models on Nvidia A100 GPUs | HackerNoon

fromCreative Bloq

2 days ago

Someone got an AI to replicate the effects of drugs, and you have to see the results

AI image generators can simulate experiences akin to psychedelics, revealing new possibilities in AI and human interaction.

Artificial intelligence

Silicon Doesn't Dream: Why Computers Lack Brains' Biochemical Magic | HackerNoon

Artificial intelligence

Training AI Models on Nvidia A100 GPUs | HackerNoon

more#ai

#machine-learning

What If AI Could Skip the Boring Parts? Google Researchers Just Made It Happen | HackerNoon

MoD transformers optimize performance by dynamically allocating computational resources and improving training efficiency.

fromOpen Data Science - Your News Source for AI, Machine Learning & more

7 months ago

'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.

fromtowardsdatascience.com

How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference

Large language models (LLMs) are built through extensive pre-training and post-training phases, focusing on understanding language through massive datasets.

Are We Building Brain-Inspired or Just Brain-Imitating AI? The Great ANN Debate | HackerNoon

AI draws significant inspiration from the brain's architecture, yet it struggles to fully replicate conscious processing complexities.

9 months ago

Making Transformers Smarter: A Memory Boost for Symbolic Tasks | HackerNoon

The authors propose a new attention mechanism to enhance model architecture for improved systematic generalization.

5 years ago

Which AI Model Should You Use? (Check Benchmarks) | HackerNoon

The article emphasizes the importance of understanding AI models and their applications across various fields.

What If AI Could Skip the Boring Parts? Google Researchers Just Made It Happen | HackerNoon

MoD transformers optimize performance by dynamically allocating computational resources and improving training efficiency.

fromOpen Data Science - Your News Source for AI, Machine Learning & more

7 months ago

'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.

fromtowardsdatascience.com

How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference

Large language models (LLMs) are built through extensive pre-training and post-training phases, focusing on understanding language through massive datasets.

Are We Building Brain-Inspired or Just Brain-Imitating AI? The Great ANN Debate | HackerNoon

AI draws significant inspiration from the brain's architecture, yet it struggles to fully replicate conscious processing complexities.

9 months ago

Making Transformers Smarter: A Memory Boost for Symbolic Tasks | HackerNoon

The authors propose a new attention mechanism to enhance model architecture for improved systematic generalization.

5 years ago

Which AI Model Should You Use? (Check Benchmarks) | HackerNoon

The article emphasizes the importance of understanding AI models and their applications across various fields.

more#machine-learning

Mental health

fromPsychology Today

2 weeks ago

TMS-Assisted Psychotherapy-Moving Toward a Paradigm Shift

TMS effectively stimulates brain regions, causing neurons to fire, in contrast to other noninvasive techniques.

Toronto startup

fromTESLARATI

2 weeks ago

Tesla posts Optimus' most impressive video demonstration yet

Optimus demonstrates advanced capabilities by completing various tasks through a single neural network, showcasing its potential for rapid learning from real-world data.

fromTheregister

Brain-inspired neuromorphic computer SpiNNaker overheats

If the chilled water isn't actually chilled, the chiller fans are adding to the problem rather than helping solve it, leading to rising temperatures.

Artificial intelligence

fromMedium

15 neural networks every UX designer should know (and not only)

In a world where time is the most valuable resource, neural networks have become real super-helpers, especially in tasks like generating ideas and testing hypotheses.

UX design

#artificial-intelligence

fromNature

How AI can achieve human-level intelligence: researchers call for change in tack

Current dominant AI technology is unlikely to achieve human-level reasoning.

A majority of AI professionals doubt neural networks can surpass human intelligence.

fromTechRepublic

IT Leader's Guide to Artificial General Intelligence | TechRepublic

AGI aims to achieve human-level cognitive abilities and solve diverse tasks autonomously.

fromMail Online

Expert reveals how likely it is artificial intelligence takes over

Geoffrey Hinton sees a significant danger in AI potentially taking over humanity, estimating a 10-20% chance.

fromScienceDaily

6 months ago

Artificial intelligence

Researchers highlight Nobel-winning AI breakthroughs and call for interdisciplinary innovation

fromFast Company

Artificial intelligence

What is AI thinking? Anthropic researchers are starting to figure it out

4 months ago

Artificial intelligence

The AI Compositionality Debate | HackerNoon

fromNature

How AI can achieve human-level intelligence: researchers call for change in tack

Current dominant AI technology is unlikely to achieve human-level reasoning.

A majority of AI professionals doubt neural networks can surpass human intelligence.

fromTechRepublic

IT Leader's Guide to Artificial General Intelligence | TechRepublic

AGI aims to achieve human-level cognitive abilities and solve diverse tasks autonomously.

fromMail Online

Expert reveals how likely it is artificial intelligence takes over

Geoffrey Hinton sees a significant danger in AI potentially taking over humanity, estimating a 10-20% chance.

fromScienceDaily

6 months ago

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.

fromFast Company

What is AI thinking? Anthropic researchers are starting to figure it out

AI chatbots operate through complex mechanisms that researchers are beginning to understand, enhancing the field of AI safety.

more#artificial-intelligence

4 months ago

The AI Compositionality Debate | HackerNoon

Artificial neural networks face critique for being unable to model the structure-sensitive features of cognition central to language and thought.

fromArs Technica

Why do LLMs make stuff up? New research peers under the hood.

Anthropic's research reveals insights into how large language models determine when to respond or refrain from answering questions, addressing AI confabulation.

fromArs Technica

fromtowardsdatascience.com

Can we make AI less power-hungry? These researchers are working on it.

Surge in demand for electricity is linked to increased use of AI by data centers.

Typography

Image Captioning, Transformer Mode On

The CPTR image captioning model enhances the encoder-decoder architecture using both Vision Transformers and full Transformer networks.

Mental health

fromPsychology Today

Your Totally Legal Not-So-Secret Performance Enhancer

Imagery strengthens neural networks for optimal performance.

Mental imagery can improve skills by 20-25% with minimal time investment.

Imagery aids emotional regulation in challenging situations.

Mental repetitions help maintain skills during injury recovery.

fromScienceDaily

A robust and adaptive controller for ballbots

A novel PID controller integrated with a radial basis function neural network enhances ballbot mobility and control.