Author: G Chaithali

G Chaithali
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http://www.marktechpost.com/
Chaithali is a technical content writing consultant at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT),Bhubaneswar. She is interested in the field of Data Analytics and has keen interest in exploring its applications in various domains. She is passionate about content writing and debating.

Check Out This DeepMind’s New Language Model, Chinchilla (70B Parameters), Which Significantly Outperforms Gopher (280B) and GPT-3 (175B) on a Large Range of Downstream...

This research summary is based on the paper 'Training Compute-Optimal Large Language Models' Please don't forget to join our ML Subreddit Extreme-scale language models have recently...

Microsoft Researchers Introduce ‘Jigsaw’: An AI Tool To Augment Large Language Models (GPT-3, Codex, etc.) By Deploying Post-Processing Techniques That Understand The Programs’ Syntax...

This research summary is based on the paper 'Jigsaw: Large Language Models meet Program Synthesis'. Please don't forget to join our ML Subreddit GPT-3, Codex, and...

IBM Researchers Showcase Their Non-Von Neumann AI Hardware Breakthrough in Neuromorphic Computing That Can Help Create Machines To Recognize Objects Just Like Humans

This research summary article is based on the paper. 'Phase-change memtransistive synapses for mixed-plasticity neural computations' Human brains are exceptionally good at remembering and learning...

Impressed With AlphaFold? Checkout This Protein Structure Prediction Model (FastFold) That Reduces AlphaFold’s Training Time From 11 Days To 67 Hours

This article is based on the research paper 'FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours' DeepMind released AlphaFold 2 last year,...

Amazon Introduces On-Device Speech Processing To Benefit “Processing On The Edge” To Its Customers

This article is based on the research article 'On-device speech processing makes Alexa faster, lower-bandwidth' by Amazon Inventing new technology for improving customer experience remains...

Researchers From UF Health and NVIDIA Build World’s Largest Clinical Language Generator, ‘SynGatorTron’, To Develop Better AI For Rare Disease Research and Clinical Trials

A neural network that generates synthetic clinical data is in high demand, as it is a valuable resource that researchers may use to train...

Researchers From Cortical Labs Develop DishBrain: A Neural Network With Biological Neurons

Over the last decade, neural networks have become a trendy topic, ranging from image recognition to text generation and even video gameplay applications. On...

Researchers from Northwestern University Come Up With More Efficient AI Training With a Systolic Neural CPU

Since the inception of modern machine learning, the goal has been to make workloads that use the technology as efficient as feasible. Considering the...

Stanford Researchers Apply a Combination of Autonomous Drone Technology With Scientific Machine Learning To Find How Fast Will Antarctica’s Ice Sheet Melt and Reduce...

Ice protects the Earth layer and its oceans by acting as a shield. Excess heat is reflected into space by these dazzling white spots,...

Dartmouth Researchers Propose A Deep Learning Model For Emotion-Based Modeling of Mental Disorders Using Reddit Conversations

According to the World Health Organization (WHO), mental diseases impact one out of every four people at some point in their lives, according to...

Researchers from Tel Aviv Propose Long-Text NLP Benchmark Called SCROLLS

Although lengthier texts contain a significant quantity of natural language in the wild, NLP benchmarks have always primarily focused on short texts, such as...

Meta AI Introduces Project CAIRaoke: An End-To-End Neural Network-Based Model That Can Power Much More Personal And Contextual Conversations For The Future Augmented And...

The need of the hour is a better conversational AI, not just AI assistants who can't do more than what has been fed. AI...

🐝 🐝 Join the Fastest Growing AI Research Newsletter Read by Researchers from Google + NVIDIA + Meta + Stanford + MIT + Microsoft and many others...

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