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#neuralnetworks

Ý tưởng #SafeAI: Tạo mạng neural xác định, có thể hiểu và chỉnh trọng số một cách chủ đích để đảm bảo tính minh bạch và an toàn. AI này có thể tự thiết kế network (bao gồm cả trọng số) cho các tác vụ cụ thể, học qua reinforcement để tối ưu hiệu suất. Ứng dụng tiềm năng: robot phẫu thuật chính xác, tối ưu kết nối mạng, quản lý "neuron lỗi". Hướng tới AI tự biên dịch không cần pretraining!

#AIAnToàn #NeuralNetworks #MạngNeural #ArtificialIntelligence #TríTuệNhânTạo #DeepLearning #MachineLearning

Try this. Open two different AI tools. Ask both the same complex question, like “Explain quantum entanglement and its application in modern computing.” Compare the answers. One might be clear and thoughtful. The other might miss the point completely.

Stop treating every AI like it’s the same. Learn what each one does best.

#AI #DeepLearning #NeuralNetworks #MythBuster #FactCheck #RealityCheck #PromptEngineering #AIPrompts #LearnAI #TechEducation (2/2)

The Hundred-Page Language Models Book by Andriy Burkov is on sale on Leanpub! Its suggested price is $50.00; get it for $20.00 with this coupon: https://leanpub.com/sh/S3M0caX2 #Ai #Gpt #NeuralNetworks #DeepLearning #DataScience #ComputerScience #Linguistics

Then ask a question. Ask another one. Watch how it sticks to the pattern you set.

Stop waiting for magic. Start building structure. Your consistency is your job.

#AI #ArtificialIntelligence #NeuralNetworks #MythBuster #FactCheck #RealityCheck #PromptEngineering #AIPrompts #LearnAI #TechEducation (2/2)

Understanding AI: Key Concepts and Examples

How AI Works: The Basics How AI Works: The Basics Ever wondered what’s going on behind the scenes when you talk to a chatbot or see Netflix suggest a new show just for you? It’s all powered by intelligent technology! This article will walk you through the basic ideas that make Artificial Intelligence tick, without any complicated jargon. Key Concepts: Machine Learning, Deep Learning & Neural Networks AI is really a combination of smart methods and tools. The main […]

https://eduarchives8.wordpress.com/2025/10/05/understanding-ai-key-concepts-and-examples/

Mạng nơ-ron phục hợp (Interpolating Neural Network - INN) kết hợp giữa học máy và lý thuyết nội suy, mang lại accuracy cao trong khi giảm thiểu sức tải và bộ nhớ. INN vượt trội hơn các phương pháp truyền thống, hiệu quả xử lý dữ liệu sparsity và cập nhật động hoạt động phi tuyến. Ứng dụng trong sản xuất kim loại tăng tiềm, INN xây dựng mô hình giả lập nhiệt nhanh chóng với độ phân giải cao. #HọcMáy #MạngNơRon #LýThuyếtNộiSuy #KhoaHọc MáyTính #AI #MachineLearning #NeuralNetworks #InterpolationThe

Artificial intelligence is already testing laws, predicting elections, and modeling virtual states. But who controls these simulations—people or algorithms? Read about it in Alexei Kostenko's article.

#virtualreality #AI #neuralnetworks #technology #generation
https://zn.ua/eng/virtual-state-how-ai-is-rewriting-society-and-will-humans-retain-the-right-to-veto.html

The perceptron, introduced by Frank Rosenblatt in 1957, was the first neural network model to gain wide attention. Initially hailed as a step toward machines that could “see, talk, and think,” it soon revealed limits: single-layer perceptrons could only solve linearly separable problems. After Minsky & Papert’s critique (1969), research funding dried up—until multilayer perceptrons and backpropagation revived neural networks in the 1980s.
https://en.m.wikipedia.org/wiki/Perceptron
#NeuralNetworks #Perceptron

Diagram comparing the organization of a biological brain and a perceptron. The top half illustrates the biological brain's structure, including the retina, projection areas, and association areas. The bottom half depicts a perceptron with similar connections and response units.

🚨 Ex-OpenAI CTO Mira Murati just launched Tinker, a new service from Thinking Machines Lab.

Tinker strips AI training down to 4 simple functions — you focus on data + algorithms, it handles the GPU chaos.

Is this the Kubernetes moment for AI training?

https://dropletdrift.com/ex-openai-cto-mira-murati-launches-tinker-to-simplify-ai-model-training/

#AI #ArtificialIntelligence #MachineLearning #DeepLearning #AIresearch #LLM #OpenSource #Tech #Innovation #DataScience #NeuralNetworks #FutureOfAI #AIcommunity #AIethics #Startups #OpenAI #Developers #Research #Computing

The Hundred-Page Language Models Book by Andriy Burkov is on sale on Leanpub! Its suggested price is $50.00; get it for $20.00 with this coupon: https://leanpub.com/sh/VABL9paL #Ai #Gpt #NeuralNetworks #DeepLearning #DataScience #ComputerScience #Linguistics

#AI #DeepLearning #NeuralNetworks #MythBuster #FactCheck #Debunked #PromptEngineering #AIPrompts #LearnAI #TechEducation (3/3)

Try this now. Take your last complex prompt and add this line at the end:
“A successful response will be a bulleted list of the three most significant economic factors, each explained in one plain sentence.”

Run it again and see how much clearer the answer is.

Controlling the output format is the easiest way to get useful answers from AI.

#AI #ArtificialIntelligence #NeuralNetworks #PromptEngineering #AIPrompts #GenerativeAI #ProfessionalGrowth #DigitalSkills #TechBusiness #Innovation (2/2)

🤖 Can machine learning reveal the genetic and phenotypic signals that shaped life’s history?

🔗 A quartet-based approach for inferring phylogenetically informative features from genomic and phenomic data. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.08.015

📚 CSBJ: https://www.csbj.org/

#AI #DeepLearning #Bioinformatics #Phylogenetics #Genomics #Phenomics #EvolutionaryBiology #MachineLearning #ComputationalBiology #NeuralNetworks #ScienceInnovation #AIinBiology

A quartet-based approach for inferring phylogenetically informative features from genomic and phenomic data. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.08.015

Try this: ask your AI to “Summarize the Q3 projections.” Don’t give any extra info. It’ll probably make up a generic, useless answer—because it has no idea what company or report you’re talking about.

Remember: context is your job. The AI won’t ask for it. You have to provide it.

#AI #MachineLearning #NeuralNetworks #MythBuster #FactCheck #RealityCheck #PromptEngineering #AIPrompts #LearnAI #TechEducation (2/2)

🚨 DeepSeek just dropped V3.2-Exp — an experimental spin on V3.1-Terminus.

The twist? DeepSeek Sparse Attention (DSA) → fine-grained sparse attention that makes long-context training & inference way more efficient ⚡

Benchmarks? Basically the same (some even better 👀).

https://dropletdrift.com/deepseek-releases-v3-2-exp-showcases-sparse-attention-breakthrough/

#AI #DeepSeek #LLM #SparseAttention #MachineLearning #TechNews #Innovation #Coding #OpenSource #AIModels #Efficiency #NeuralNetworks #GPU #AICommunity #ArtificialIntelligence #AIResearch #NextGen #Tech

Try this. Open a note and paste a perfect example of what you need. Something like a project update or a client bio. Then write a prompt that says: “Use the exact same structure and headings as the example below. Now write a new one about [your topic].” See what happens.

Stop accepting messy outputs. Show the AI the blueprint.

#AI #ArtificialIntelligence #NeuralNetworks #MythBuster #FactCheck #Debunked #PromptEngineering #AIPrompts #TechEducation #DigitalLiteracy (2/2)