#neural-networks
#neural-networks

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

fromMedium

1 week ago

Artificial intelligence

Why AI can't draw faces properly (and it's not a bug, it's a feature)

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

more#ai

3 weeks 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

3 weeks ago

Mental health

Psychiatric Researchers Warn of Grim Psychological Risks for AI Users

1 month ago

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

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

3 weeks ago

Mental health

Psychiatric Researchers Warn of Grim Psychological Risks for AI Users

1 month ago

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.

fromMail Online

more#artificial-intelligence

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

1 month ago

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.

Python

How to Train a Linear Regression Model in TensorFlow | HackerNoon

Train machine learning models by obtaining data, defining a model, setting a loss function, and optimizing variables.

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.

5 months ago

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

TMS-Assisted Psychotherapy-Moving Toward a Paradigm Shift

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

fromTESLARATI

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

UX design

fromMedium

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.