#neural-networks

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fromMedium
4 days ago
UX design

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.
#artificial-intelligence
fromScienceDaily
5 months ago
Artificial intelligence

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.
fromThe Mercury News
6 months ago
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.
fromHackernoon
3 months ago
Artificial intelligence

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.
Artificial intelligence
fromScienceDaily
5 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.
Artificial intelligence
fromThe Mercury News
6 months ago

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.
more#artificial-intelligence
#machine-learning
Artificial intelligence
fromtowardsdatascience.com
2 months ago

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.
fromHackernoon
2 months ago
Artificial intelligence

Training AI Models on Nvidia A100 GPUs | HackerNoon

The article focuses on the development and training of various AI language models to enhance inference efficiency.
fromNature
5 months ago
OMG science

Leon Cooper obituary: Nobel laureate who developed theory of superconductivity

Leon Cooper made significant contributions to physics and neuroscience, notably through the BCS theory of superconductivity and the BCM theory of learning in neural networks.
fromHackernoon
3 months ago
Miscellaneous

Hawk and Griffin Models: Superior Latency and Throughput in AI Inference | HackerNoon

Recurrent neural network architectures can efficiently scale to match Transformer models, particularly in long context modeling tasks.
Artificial intelligence
fromtowardsdatascience.com
2 months ago

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.
fromHackernoon
2 months ago
Artificial intelligence

Training AI Models on Nvidia A100 GPUs | HackerNoon

The article focuses on the development and training of various AI language models to enhance inference efficiency.
fromNature
5 months ago
OMG science

Leon Cooper obituary: Nobel laureate who developed theory of superconductivity

Leon Cooper made significant contributions to physics and neuroscience, notably through the BCS theory of superconductivity and the BCM theory of learning in neural networks.
fromHackernoon
3 months ago
Miscellaneous

Hawk and Griffin Models: Superior Latency and Throughput in AI Inference | HackerNoon

Recurrent neural network architectures can efficiently scale to match Transformer models, particularly in long context modeling tasks.
more#machine-learning
Artificial intelligence
fromArs Technica
1 month ago

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.
#deep-learning
Data science
fromhackernoon.com
2 months ago

New Research Cuts AI Training Time Without Sacrificing Accuracy

L2 normalization significantly speeds up training while enhancing out-of-distribution detection performance in deep learning models.
Data science
fromhackernoon.com
2 months ago

New Research Cuts AI Training Time Without Sacrificing Accuracy

L2 normalization significantly speeds up training while enhancing out-of-distribution detection performance in deep learning models.
more#deep-learning
Artificial intelligence
fromHackernoon
1 year ago

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.
#ai
Artificial intelligence
fromFortune
6 months ago

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.
fromZDNET
9 months ago
Data science

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.
Artificial intelligence
fromFortune
6 months ago

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.
fromZDNET
9 months ago
Data science

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.
more#ai
fromMedium
8 months ago
Data science

Introduction to CNN

CNNs use convolution as a mathematical operation, replacing general matrix multiplication in at least one layer for identifying features in images.
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