FeedFlo

The wait is over! After a very exciting competition throughout this past year, the results for the 2023 Startups of the Year, North America are here!

Startups of The Year 2023 Winners: North America 

Create a deep learning framework from scratch! 

How to Build Feedforward Neural Networks: A Step-by-Step Guide 

Building a Feedforward Neural Network from Scratch in Python

Feedforward neural networks are also known as <strong>Multi-layered Network of Neurons</strong> (MLN). These networks of models are called feedforward because the information only travels forward in the neural network, through the input nodes then through the hidden layers (single or many layers) and finally through the output nodes. In MLN there are no feedback connections such that the output of the network is fed back into itself. These networks are represented by a combination of many simpler models(sigmoid neurons).

Deep Learning: Feedforward Neural Networks Explained

Multimodal hyper-embeddings enable strong cross-task transfer; tiny tuned modules match or beat full fine-tunes on unseen domains.

Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

ANNs are inspired by brain function but fall far short of biological complexity, raising questions about their ability to mimic consciousness or cognition.

Are We Building Brain-Inspired or Just Brain-Imitating AI? The Great ANN Debate

A new summarization method pinpoints critical movie scenes for faster, more effective script-to-summary generation using AI.

Smart Summaries: Teaching AI to Pick Key Scenes from Scripts

Explore a novel self-explaining AI framework improving concept fidelity and interoperability for interpretable, domain-invariant deep neural network decisions.

Enhancing AI Interpretability: A Guide to Self-Explaining Concept Architectures

Neural networks can approximate multi-body ODEs in dynamics. Learn key concepts, normalization techniques, and challenges in deep learning-based solutions.

Neural Networks in Dynamics: Approximating Multi-Body ODEs with Deep Learning

Transformers explained: The secret technology behind ChatGPT and how it’s reshaping AI chatbots worldwide.


Inside Transformers: The Hidden Tech Behind LLM's and Chatbots like ChatGPT 

SPDNet mimics the conventional densely connected feedforward network, consisting of three basic building blocks

Basic Layers In SPDNET, TSMNET, and Statistical Results of Scaling in the LieBN

Explore multi-group attention, memory IO costs, and FLOPs in AI models. Learn how incremental decoding and context encoding impact AI performance.

Understanding Multi-Group Attention in AI Models

Explore AI model training with Nvidia A100 GPUs, bifurcated attention, and latency optimization using Deepspeed inference and Hugging Face transformers.

Training AI Models on Nvidia A100 GPUs

A smarter way to allocate computing resources in AI transformers is making them faster and more efficient.

New AI Method Lets Models Decide What to Think About

Discover the challenges of controlling soft robots, comparing model-based techniques like FEM and PCC with data-driven Machine Learning approaches.

How Scientists Are Teaching Soft Robots to Move Accurately

Learn how experiments validate SEAMLESSEXPRESSIVELM's efficiency, semantic accuracy, and vocal style transfer in speech translation.

Experiments on SEAMLESSEXPRESSIVELM Reveal Its Superiority in Efficiency and Translation Quality

This study analyzes how different exoskeleton controllers affect gait patterns, muscle activation, and ground reaction forces across various walking speeds.

How We Studied the Effects of Different Exoskeleton Controllers on Gait Patterns

Explore the data analysis techniques used to assess human-exoskeleton interaction, including ground reaction forces, muscle activation, interaction torque. 

How We Measure the Impact of Exoskeletons on the Body

Explore the experimental setup and protocol for evaluating three exoskeleton control strategies—TBC, HTC, and AMTC—in a study with nine able-bodied participants

How to Test the Performance of an Exoskeleton

Discover how three exoskeleton control strategies—time-based, hybrid, and adaptive models—differ in their approach to improving human-exoskeleton interaction. 

What’s the Best Way to Control an Exoskeleton?

Interaction portrait analysis reveals HTC’s suitability for power augmentation and AMTC’s rehabilitation potential. 

How User Weight Affects Exoskeleton Performance

IP analysis highlights user strategies with AMTC and HTC controllers, aiding in tailoring exoskeletons for power augmentation or rehabilitation applications.

Why Some Exoskeletons Make Walking Easier Than Others

TBC controllers hinder human-robot co-adaptation due to limited adaptability, causing inconsistent gait & torque metrics at slower speeds, especially for users.

Why Do Exoskeletons Work Better at Faster Walking Speeds?

AMTC outperforms other exoskeleton controllers by reducing metabolic costs and interaction torque during ultra-slow and slow walking, improving user harmony.

FEEDFLO

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FeedFlo's stories on HackerNoon

Startups of The Year 2023 Winners: North America

How to Build Feedforward Neural Networks: A Step-by-Step Guide

Building a Feedforward Neural Network from Scratch in Python

Deep Learning: Feedforward Neural Networks Explained

Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

Are We Building Brain-Inspired or Just Brain-Imitating AI? The Great ANN Debate

Smart Summaries: Teaching AI to Pick Key Scenes from Scripts

Enhancing AI Interpretability: A Guide to Self-Explaining Concept Architectures

Neural Networks in Dynamics: Approximating Multi-Body ODEs with Deep Learning

Inside Transformers: The Hidden Tech Behind LLM's and Chatbots like ChatGPT

Basic Layers In SPDNET, TSMNET, and Statistical Results of Scaling in the LieBN

Understanding Multi-Group Attention in AI Models

Training AI Models on Nvidia A100 GPUs

New AI Method Lets Models Decide What to Think About

How Scientists Are Teaching Soft Robots to Move Accurately

Experiments on SEAMLESSEXPRESSIVELM Reveal Its Superiority in Efficiency and Translation Quality

How We Studied the Effects of Different Exoskeleton Controllers on Gait Patterns

How We Measure the Impact of Exoskeletons on the Body

How to Test the Performance of an Exoskeleton

What’s the Best Way to Control an Exoskeleton?

How User Weight Affects Exoskeleton Performance

Why Some Exoskeletons Make Walking Easier Than Others

Why Do Exoskeletons Work Better at Faster Walking Speeds?

Which Exoskeleton Technology Is Easiest on Your Muscles?

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