Introduction to Deep Learning Short — Peek Inside to Understand (68 Parts Total)

Neural networks are called "black boxes." This means that while you get an answer when you input data, you cannot see what is happening inside.However, you can peek inside smaller networks. What is a ...
BIOENGINEER

Deep-learning CT reconstruction sharpens calcium visibility in phantom tests, but dose evens the score

In a thorax phantom study, 68-keV monoenergetic CT gave the highest contrast-to-noise ratio for calcium-mimicking inserts but ...
BIOENGINEER

Hybrid Deep Learning Model Detects Intrusions in Wireless Sensor Networks

A new framework combining reinforcement learning and Siamese convolutional networks with blockchain-secured routing reports ...
GitHub

Deep learning for partial index tracking

Code for a master's thesis on tracking the S&P 500 with a small number of stocks. Part 1 replicates the autoencoder-based smart-indexing example of Heaton, Polson and Witte, re-estimates it with cross ...

Beyond errors lies growth. The thoughts behind 'Arak Bugness,' an engineer who symbolizes trial and error

Once again, I would like to introduce a Wonder Academia character I have created.The character appearing this time is an engineer who is a bit scatterbrained, but very serious and passionate about ...
GitHub

Neural Networks and Deep Learning

B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...

My AI App Makes $100K/Month

This is how Nicolai Klemke dropped his PhD in physics to build in AI, and now makes $100K per month.Serious about B2B?
Bizz Buzz

Young innovators shine at hmtv Business Excellence Awards Hackathon

Engineering and school students present projects spanning healthcare, AI, agriculture, cybersecurity, environment and space ...

The best thing that you can do for your career is to make yourself redundant: Inside Stellantis' AI push after the starting gun went off

That’s the advice of Stellantis’ CTO, who plans to hire hundreds more anyway. AI is shrinking weeks into days, but it can't ...
eLife

Dual reinforcement-learning network modules for modeling decision-making with multiple strategies

Laboratory of Neural Computation, Institute for Quantitative Biosciences, the University of Tokyo, Tokyo, Japan Department of Life Sciences, Graduate School of Arts and Sciences, the University of ...

'Like gene editing for neural networks': MIT researchers used GPT-6 Astra to edit Qwen's open weights directly, boosting math performance

In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...