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What is NLP? Applications of NLP
Understanding Text Pre-processing Tokenization in NLP Byte Pair Encoding Tokenizer Free Language Modeling with Pixels Stopword Removal Stemming vs Lemmatization Text Mining
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What are Regular Expressions? Regular Expressions
String Similarity
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Introduction to Topic Modeling Latent Dirichlet Allocation (LDA) Implement Topic Modeling
Introduction to Feature Engineering for Text Data Implement Text Feature Engineering Techniques Introduction to One Hot Encoding Implement One Hot Encoding Limitations of One Hot Encoding Count Vectorizer and TF-IDF Solving Text classification using TF-IDF
Information Retrieval System Explained in Simple terms! How does Google Rank Search Results? Knowledge Graph
Understanding Word2Vec Understanding Skip Gram and Continous Bag Of Words Word2Vec Implementation in Gensim Visualizing Word2Vec
Word Senses and Word Sense Ambiguity
Why Are We Interested in Syntatic Strucure? What is a Dependency Grammar? Neural Dependency Parsing
Introduction to Language Models N-Gram Language Models Neural Language models
Why Sequence models? Usecases of Sequence models Introduction to RNN Implement RNN
Shortcomings of RNN What is Long Short Term Memory (LSTM) Implementing LSTM Build Your Own Fake News Classification Model What is Gated Recurrent Unit (GRU)? Implementing GRU
Introduction to Machine Translation Multilingualism in NLP Drawbacks of Seq2Seq model Mathematical Calculation of Attention
Understand Positional Encoding Introducing Transformers Model Key Query Value Attention in Tranformer Encoder
Pretrained Language Models in NLP Generative Pre-training (GPT) for Natural Language Understanding(NLU) Finetuning GPT-2 Understanding BERT Finetune Masked language Modeling in BERT Implement Text Classification using BERT Finetuning BERT for NER Extensions of BERT: Roberta, Spanbert, ALBER MobileBERT GPT-3 Prompt Engineering in GPT-3 Bigbird T5 and large language models
Implement Question Answering on SQUAD
Text Summarization
Named Entity Recognition (NER) in Python with Spacy
Coreference Resolution
Visualizing Sounds Using Librosa Machine Learning Library! Audio Processing Audio Analysis Audio Classification using Deep Learning
Automatic Speech Recognition Implement Automatic Speech Recognition Can Voice Conversion Improve ASR in Low-Resource Settings?
Audio Separation
Building Chatbots Building Chatbots using Rasa
Automate NLP Tasks using EvalML Library

UBTech Teams-up with Baidu to Make Smarter Humanoid Robots

Nitika Sharma
Nitika Sharma Last Updated : 03 Apr, 2024
2 min read

Imagine a robot that can chat with you, fold your clothes, and tell you which shirt goes best with your pants! UBTech is building these super-smart robots called “humanoid robots” that look like people.

UBTech has partnered with Baidu’s Ernie Bot, a smart language model, to enhance its Walker S humanoid robot. This partnership aims to keep UBTech ahead in the humanoid robot industry, especially with growing competition.

UBTech Teams-up with Baidu

UBTech aims to incorporate advanced AI technologies, including Large Language Models (LLMs), into its humanoid robots within the next two to three years. However, these integrations are still in the research and development phase, making it challenging to determine the exact timeline for mass production.

Expansion of Robot Capabilities and Applications

Recent demonstrations by UBTech showcase the capabilities of its humanoid robot, Walker S, which can respond to voice commands, perform tasks like folding clothes and sorting objects, and even provide assistance in matching clothes. Additionally, UBTech plans to train its humanoid robots for deployment in new energy vehicle production lines and introduce ‘family-member’ robots designed to offer companionship and emotional support.

Business Strategy and Financial Performance

Despite being a leader in the educational and logistics robot sectors, UBTech faces challenges in generating significant revenue from humanoid robots due to their high price point. The company remains committed to R&D investment, with nearly half its revenue allocated to research activities. However, UBTech reported widened net losses in the previous year despite a modest increase in revenue.

Also Read: Figure AI’s Humanoid Robot Starts to Talk Like Humans

Our Say

The future of Robotics is unpredictable as AI is playing a huge part in bringing them to life. Let’s see who is going to win the AI Robot race with UBTech robots incoming, and Looi and figure one, around the corner to give it a tough competition.

Follow us on Google News to stay updated with the latest innovations in the world of AI, Data Science, & GenAI.

Nitika Sharma
Nitika Sharma

Hello, I am Nitika, a tech-savvy Content Creator and Marketer. Creativity and learning new things come naturally to me. I have expertise in creating result-driven content strategies. I am well versed in SEO Management, Keyword Operations, Web Content Writing, Communication, Content Strategy, Editing, and Writing.

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