Social Media Ideas for Deep-Learning

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minthangml.medium.com /1 month ago

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bioengineer.org /1 month ago

DiffKT diffusion model advances fine-grained knowledge tracing

Artificial intelligence models that predict what a student knows are getting a fundamental rethink. A team of Chinese researchers has unveiled DiffKT, a new framework that borrows...

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rna-seqblog.com /1 month ago

Deep learning improves microRNA target prediction from sequence

Deep learning applied to RNA sequencing analysis helps miRBind2 predict microRNA binding and gene repression directly from nucleotide sequence with improved accuracy..

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simplilearn.com /5 days ago

How to Become a Deep Learning Engineer in 2027? Description, Skills, & Salary | Simplilearn

With the advent of deep learning, the world has changed. Deep learning is gaining popularity because it's powerful and so easy to use that anyone can use it. It has led to an explo...

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towardsdatascience.com /1 week ago

Jev Your Engines: Seven Open Decision Models vs. a Generative LLM

A hands-on Jev repo comparison of routing accuracy, latency, and output reliability The post Jev Your Engines: Seven Open Decision Models vs. a Generative LLM appeared first on Tow...

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itnext.io /3 weeks ago

Deep AI Learning Part 1: Building an Autograd Engine

How to deeply understand neural networks by building a functional autograd engine and manually calculating backpropagation using the…Continue reading on ITNEXT »

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bioengineer.org /1 month ago

Deep Learning Transforms Spatiotemporal Prediction: Reviewing Methods and Applications

A new review argues that deep learning is reshaping how scientists forecast systems that change across both space and time, from moving traffic and polluted air to evolving weather...

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huxiangqian.medium.com /2 weeks ago

Can Neural Networks Learn Directly on Low-Bit Weights?

Revisiting gradient-directed Monte Carlo — from molecular design to a 16-value weight grid.Continue reading on Medium »

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bioengineer.org /18 hours ago

Super-resolution GAN and swarm-optimized transfer learning sharpen Alzheimer’s MRI classification

A new deep learning framework that pairs super-resolution image enhancement with swarm-optimized transfer learning classified Alzheimer's disease stages from MRI scans with up to 9...

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pandaily.com /1 month ago

China Mobile Cloud Debuts GPU–Neuromorphic Heterogeneous LLM Inference Stack

At the 2026 China Computing Power Conference, China Mobile Cloud and partners unveiled a domestic GPU plus neuromorphic mixed-inference system for large models, citing roughly 2× o...

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medium.com /1 month ago

From 33% to 92%: What I Learned Building an Indian Language Speech Classifier

I trained CNNs, tried ImageNet and AudioSet transfer learning, tested Whisper zero-shot, and eventually fine-tuned Whisper on six Indian…Continue reading on Medium »

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kdnuggets.com /1 month ago

Speed Up LLM Inference with DSpark Speculative Decoding

Learn how DSpark speculative decoding can improve local LLM generation speed using the same GPU, with Qwen3-8B, llama.cpp, and CUDA.

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kdnuggets.com /1 month ago

Speed Up LLM Inference with DSpark Speculative Decoding

Learn how DSpark speculative decoding can improve local LLM generation speed using the same GPU, with Qwen3-8B, llama.cpp, and CUDA.

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medium.com /1 month ago

Understanding Convolutional Neural Networks (CNNs) and Computer Vision

IntroductionContinue reading on Medium Â»

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pandaily.com /1 month ago

Scalabot HERON-CRA Adds Context Memory and RL Engine for Embodied Control

Songyan Dynamics' Scalabot brand released HERON-CRA, pairing 4D Context Expert memory, a plug-in RL Engine, and cross-embodiment pretraining, with sock-folding success rising from...

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bioengineer.org /1 month ago

Machine Learning Framework Boosts Intelligent 5G Resource Allocation and Optimization

Artificial intelligence is rapidly reshaping how mobile networks manage their most precious commodity—radio resources—and a new study offers one of the clearest demonstrations yet...

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news.mit.edu /1 week ago

How artificial neural networks build their own learning machinery

Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.

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pandaily.com /1 month ago

EBKernel Unveils Cog-WM 1.0 Brain-Inspired Cognitive World Model

Shanghai startup EBKernel launched Cog-WM 1.0 at the Pujiang Innovation Forum, a JEPA-style latent world model that lifts map-free ObjectNav success from 78.5% to 86.89% versus BSC...

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medium.com /1 week ago

Train your own decision model: the decision tier is now a 40-minute fine-tune

On 28 September Unsloth began serving Laya, an open decision model, at a Jev-compatible endpoint on a CPU. On 7 October it shipped…Continue reading on Medium »

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siliconrepublic.com /5 days ago

DeepSeek updates V4.1-Flash model to improve performance

According to DeepSeek, the updated model shows 'substantial improvements' across reasoning, coding, agentic tasks and visual benchmarks. Read more: DeepSeek updates V4.1-Flash mode...

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webkul.com /3 weeks ago

Desert Ant Labs: Exploring the Future of On-Device AI

On-device AI runs specialized models directly on a user’s device instead of sending every request to the cloud. Cloud-based AI offers powerful models but introduces latency, infras...

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scmp.com /1 month ago

DeepSeek says new Flash AI model beats Kimi K3 on cyber, coding benchmarks

DeepSeek has released its V4.1 Flash model, claiming it outperforms its previous flagship while cutting inference costs and boosting speeds – the latest salvo in China’s aggressive...

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digitalthoughtdisruption.com /1 month ago

Connectionism in AI: How Neural Networks Learn Relationships

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medium.com /5 days ago

Neural Networks Explained: From the Human Brain to Intelligent Machines

By Brian Murimi Sigei AI & Data Science | Software Development | MSc in Informatics (AI & Data Science)Continue reading on Medium »

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