#neural-networks
#neural-networks

1 week ago

Understanding the Brain's "Action Mode"

The action mode network is crucial for decision-making and behavior adjustment in addiction recovery.

#artificial-intelligence

fromFuturism

1 week ago

Mental health

Psychiatric Researchers Warn of Grim Psychological Risks for AI Users

Artificial intelligence

AI Isn't a Brain but Soon It Could Be

fromSubstack

A knockout blow for LLMs?

Apple's new paper challenges the capabilities of LLMs, emphasizing their failures outside the training distribution.

fromWIRED

Artificial intelligence

Artificial Intelligence Is Unlocking the Secrets of Black Holes

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.

fromMail Online

3 months ago

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.

fromFuturism

1 week ago

Mental health

Psychiatric Researchers Warn of Grim Psychological Risks for AI Users

Artificial intelligence

AI Isn't a Brain but Soon It Could Be

fromSubstack

A knockout blow for LLMs?

Apple's new paper challenges the capabilities of LLMs, emphasizing their failures outside the training distribution.

fromWIRED

Artificial Intelligence Is Unlocking the Secrets of Black Holes

AI is enhancing our understanding of supermassive black holes by analyzing previously discarded data.

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.

more#artificial-intelligence

fromMail Online

3 months ago

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.

Defining the Frontier: Multi-Token Prediction's Place in LLM Evolution | HackerNoon

Dong et al. (2019) and Tay et al. (2022) train on a mixture of denoising tasks with different attention masks (full, causal and prefix attention) to bridge the performance gap with next token pretraining on generative tasks.

Artificial intelligence

LLMs: How to Build AI Superintelligence? [Hint: Storage] | HackerNoon

The brain processes and stores information through clusters of neurons using electrical and chemical signals.

fromArs Technica

How a grad student got LHC data to play nice with quantum interference

A young researcher has developed a machine learning method that significantly enhances data analysis from the Large Hadron Collider.

Related Work: Scaling Laws and Hopfield Models in LLM Research | HackerNoon

Larger models and more data lead to better performance in neural networks, reaffirming scaling laws.

#machine-learning

Python

How to Train a Linear Regression Model in TensorFlow | HackerNoon

Artificial intelligence

How AI Chooses What Information Matters Most | HackerNoon

Python

How to Train a Linear Regression Model in TensorFlow | HackerNoon

Artificial intelligence

How AI Chooses What Information Matters Most | HackerNoon

more#machine-learning

fromZDNET

AI performance is all about the perfect blend of chips and networks, research suggests

AI training speed increasingly relies on chip connections rather than just chip performance.

The latest MLPerf Training results highlight growing dependency on networking configurations in AI systems.

#ai

fromCreative Bloq

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

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

Accelerating Neural Networks: The Power of Quantization | HackerNoon

Quantization reduces the memory and computational demands of neural networks by converting floating-point numbers to lower-precision integers.

Mental health

2 months ago

TMS-Assisted Psychotherapy-Moving Toward a Paradigm Shift

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

fromTESLARATI

2 months 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

2 months ago

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

UX design

fromMedium

3 months ago

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

AI tools significantly enhance productivity for UX designers by automating various tasks, facilitating idea generation, and streamlining workflows.

5 years ago

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

AI models are more than just a block box of data; they are neural networks that recognize specific patterns from massive datasets.

Artificial intelligence

10 months ago

A New Neural Memory Trick Helps AI Handle Much Longer Sequences | HackerNoon

Pointer-Augmented Neural Memory (PANM) improves neural networks' ability to process longer data sequences and perform symbol processing tasks.

10 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.

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

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.

fromtowardsdatascience.com

State Space Models vs RNNs: The Evolution of Sequence Modeling | HackerNoon

Incorporating state space models (SSMs) into deep neural networks provides an innovative approach to model selection that enhances the capacity, efficiency, and overall performance of neural architectures.

Artificial intelligence

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

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.

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.

fromScienceDaily

fromtowardsdatascience.com

A robust and adaptive controller for ballbots

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

Artificial intelligence

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.

Is Anthropic's Alignment Faking a Significant AI Safety Research? | HackerNoon

Goals are cognitive representations guiding behavior through motivation and planning.

Sophisticated goals entail complexity and flexible strategies compared to simpler ones.

The structure of the human mind can inform AI's design for goal execution.

AI functions through algorithms and structures, lacking experiential consciousness.

fromScienceDaily

8 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.