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- Algo(30/40)The Great CNN “Zoo” & Its Tools: VGG, Inception & Batch Norm (2014–2015)
- DeepSeek AI: Smarter AI for Complex Challenges | Simplilearn
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Algo(30/40)The Great CNN “Zoo” & Its Tools: VGG, Inception & Batch Norm (2014–2015)
In 2012, AlexNet proved that Deep Learning worked. But it was a messy, hand-tuned architecture that felt more like alchemy than…Continue reading on Medium »
DeepSeek AI: Smarter AI for Complex Challenges | Simplilearn
Artificial intelligence is moving ahead quickly, and DeepSeek AI is stealing the spotlight. Developed by High Flyer Capital Management, DeepSeek is already outperforming some of th...
The Neural Revolution: How Deep Learning Transforms the Architecture of Quantitative Trading
Peking University and DeepSeek Open-Source DSpark, Delivering Major Leap in LLM Inference Efficiency
Peking University and DeepSeek jointly open-source DSpark, a speculative decoding framework that boosts LLM inference speed by 60-85% with up to 661% throughput gain under strict l...
Best Deep Learning Courses in 2026
Most "best deep learning courses" lists mix up three very different things: general AI literacy courses, courses about using pre-trained models, and courses that actually teach you...
NVIDIA: DFlash block diffusion accelerates autoregressive LLMs
Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference. Autoregressive large language models generate tokens sequent...
Stepfun Open-Sources Step 3.7 Flash LLM Optimized for Agent Era
Stepfun open-sources Step 3.7 Flash, a 196B-parameter sparse MoE LLM optimized for agent workflows with 400 tokens/s speed and native tool-calling capabilities.
Inference Takes Center Stage: DeepSeek DSpark Accelerates Generation by 80%
DeepSeek's DSpark speculative decoding framework marks a strategic shift as AI competition moves from training scale to inference efficiency and real-world deployment.
Ollama's Chinese Model Support Is Real — But Running Kimi and DeepSeek Locally Has a Hidden Cost
Your error rate just spiked 12%. Three weeks of debugging, $40k in developer hours, and the coffee's cold. The terminal is still red. You've been burning through API credits callin...
Notes from my ongoing AI learning journey
I have been trying to find my way into machine learning and AI for a long time. I am a data engineer, so I am not new to data, systems, or…Continue reading on Medium »
Machine Learning: How Computers Learn from Data
Machine Learning: How Computers Learn from DataContinue reading on Medium »
DeepSeek DSpark Boosts Generation Speed by 85% in First Post-Funding Paper
DeepSeek releases DSpark speculative decoding framework, boosting generation speed by 85% in Liang Wenfeng's first paper after the company's $7B funding round.
Perceptron and Multi-Layer Perceptron: Understanding the Building Blocks of Neural Networks
IntroductionContinue reading on Medium »
Choosing Between DeepSeek, Qwen, Kimi, and GLM at Scale
Choosing Between DeepSeek, Qwen, Kimi, and GLM at Scale Six months ago, my cloud bill was scaring me. We were running everything through a single Western LLM provider, and the cos...
Algo(31/40)Real-World Perception & Action: Pixels, Boxes & Trust (2015)
By 2015, Neural Networks were excellent at saying “This is a cat.” But in the real world, that isn’t enough. A self-driving car needs to…Continue reading on Medium »
TinyML : Deploying ML model to a microcontroller
Let’s be honest.Continue reading on Medium »
Understanding Transformers (Part 5): The final layers doing some heavy lifting
LayerNorm, residuals, feed-forward blocks, and the encoder-decoder pipeContinue reading on Data Science Collective »
DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%
Even as the geopolitical conversation around AI continues to grow more fraught following the U.S. government's actions to limit the new models from Anthropic and OpenAI, Chinese op...
Hybrid Deep Learning Enhances Pressure Analysis in Reservoirs
In the rapidly evolving domain of subsurface reservoir engineering, a groundbreaking study has emerged, promising to revolutionize how pressure transients are analyzed in complex g...
Edge AI for Android Developers: Bringing Intelligence Closer to the User
Over the last few years, Artificial Intelligence has become a core part of mobile applications. Features such as face unlock, voice…Continue reading on Medium »
DeepSeek and Zhipu AI Begin Self-Developing AI Chips — The Endgame Is No Longer Just Models
DeepSeek and Zhipu AI join OpenAI and Anthropic in developing custom inference chips, signaling a structural shift where leading AI labs pursue in-house silicon to cut costs and re...
DeepSeek hiring spree: Chinese AI firm seeks newcomers as it pursues AGI
DeepSeek is looking to “at least double the size of every department” in a new hiring spree, according to an announcement made by the Chinese AI champion on Thursday. The firm anno...
Ant Group's LingBot-Vision Claims 12 World Firsts: 1.1B Parameter Model Beats 7B DINOv3
Ant Group's LingBot-Depth 2.0 spatial perception model achieves 12 world-first benchmarks, with its 1.1B parameter LingBot-Vision foundation model surpassing Meta's 7B DINOv3.
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