Author: Shruti

Shruti
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Shruti is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Kanpur, India.

MIT Researchers Discovered Hidden Magnetic Properties In Multi-Layered Electronic Material By Analyzing Polarized Neutrons Using Machine Learning

This research summary article is based on the paper from MIT 'Elucidating proximity magnetism through polarized neutron reflectometry and machine learning' Please don't forget...

Stanford Researchers Have Developed a Machine Learning-Based Algorithm To Detect Autism in Brain “Fingerprints”

This research summary article is based on the paper 'Robust, generalizable, and interpretable AI-derived brain fingerprints of autism and social-communication symptom severity' and the...

Following Reinforcement Learning Methods in Telecom Networks

This summary article is based on the research article by Ericsson 'Bringing reinforcement learning solutions to action in telecom networks' Reinforcement learning (RL) has shown...

LinkedIn Engineering Team Develops ‘Opal’ to Ingest Mutable Data and Build Mutable Dataset on Top of the Immutable File System 

This article is based on the research article from Linkedin Engineering 'Opal: Building a mutable dataset in data lake' Trusted data platforms and high-quality data...

Researchers Open-Source WiSE-FT Algorithm For Fine Tuning AI Models

This research summary article is based on the paper 'Robust fine-tuning of zero-shot models' When making zero-shot inference, large pre-trained models like CLIP or ALIGN...

According to a Latest Research, Quantum Machine Learning Could Benefit From a Spooky Action That Could Allow exponential Scaling Through Mysterious Quantum Connections

When executed on quantum computers, machine learning, which today enables speech recognition, computer vision, and other tasks, could become even more powerful. The unusual...

LinkedIn Researchers Open-Source ‘FastTreeSHAP’: A Python Package That Enables An Efficient Interpretation of Tree-Based Machine Learning Models

Researchers from LinkedIn open-source the FastTreeSHAP package which is a Python module based on the paper 'Fast TreeSHAP: Accelerating SHAP Value Computation for Trees.'...

DoorDash Introduces ‘Fabricator’: A Centralized Framework For Feature Engineering To Improve Tthe Predictive Power of Machine Learning Models

Feature engineering is becoming a significant priority for boosting the predictive capacity of models as machine learning (ML) becomes more essential across digital businesses....

Researchers From Idiap Research Institute Propose ‘HyperMixer’: An MLP-Based Green AI Alternative To Transformers

In recent years, transformer topologies have advanced the state-of-the-art in a wide range of natural language processing (NLP) activities. Vision transformers (ViT) are now...

In the Latest Google AI’s Research, The Team Explains How They Reduced The Size of The High-Performing CAP12 Model By 6x-100x While Maintaining 90-96%...

In recent years, there has been significant progress in lexical tasks like automatic speech recognition (ASR). Yet machine systems struggle to understand non-linguistic features...

Microsoft Researchers Introduce Tensor Query Processor (TQP) With Tensor Computation Runtimes for Query Processing – 20x Speedup

If data is the fuel for Artificial Intelligence (AI), the computation is the engine. The ever-increasing computational requirements of modern AI systems have prompted...

Machine Learning Model Watermarking By Borrowing Attack Techniques Like Badnets and Backdooring

The training costs for advanced ML models range from tens of thousands to millions of dollars, even for well-understood architectures. The training of one...

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