Unite.AI

FEBRUARY 15, 2024

This continuous learning is essential for maintaining our edge and ensuring our strategies remain relevant and effective. What were some of the machine learning algorithms that were used in these early days? What is your vision for the future of AI and robotics?

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AI Researcher AI Research Machine Learning AI 162

Aiiot Talk

APRIL 23, 2024

Understanding AI-Powered Threat Detection AI-powered threat detection is a cutting-edge approach where AI algorithms work tirelessly to identify and neutralize cyber threats. AI systems learn from data, spotting patterns and anomalies that could signal security breaches.

AI 130

AI AI AI Tools Automation 130

Towards AI

FEBRUARY 15, 2024

AI has proven to be a boon for the modern world, with applications across tech innovations like IoT (Internet of Things), AR/VR, robotics, and more. Coding, algorithms, statistics, and big data technologies are especially crucial for AI engineers. Choosing to work as a professional AI engineer can be a lucrative career option.

AI Engineer 94

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 94

Unite.AI

AUGUST 3, 2023

Our generative AI solution employs proprietary algorithms and machine learning techniques to streamline the creation of video-based standard operating procedures (SOPs), optimize workflows, and facilitate quick, efficient access to information via AI-driven chat features. It’s a thrilling journey.

Machine Learning 246

Machine Learning Algorithm Natural Language Processing Generative AI 246

Aiiot Talk

FEBRUARY 1, 2024

Marketing, for instance, can benefit from its data processing and learning abilities to convert potential leads into verified customers. Discover how you can use machine learning to increase paid conversions. Machine learning can take over recurring functions more efficiently to maximize productivity 24/7.

Machine Learning 130

Machine Learning Chatbots Artificial Intelligence Artificial Intelligence 130

Towards AI

AUGUST 6, 2023

Abhishek Thakur: A new ML algorithm came out? Think of if this channel as not only keeping up-to-date with new ML algorithms but also learning how to implement those and build projects! The Robot Brains Podcast: Pieter Abbeel aims to discuss with leading experts in AI with a focus on robotics how to build robots with brains!

Computer Vision 92

Computer Vision Machine Learning Robotics ML 92

ODSC - Open Data Science

JANUARY 24, 2023

Recently, we spoke with Josh Tobin, CEO & Founder of Gantry, about the concept of continual learning and how allowing models to learn & evolve with a continuous flow of data while retaining previously-learned knowledge can allow models to adapt and scale. What is continual learning?

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Continuous Learning Data Drift Deep Learning Data Science 105

NVIDIA

MARCH 18, 2024

Developers could leverage continuous learning, where an algorithm improves based on data collected by the deployed device.

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AI Modeling Continuous Learning Chatbots Algorithm 116

Unite.AI

MAY 30, 2023

The underlying technologies support continual learning. Systems that can continually learn from an ongoing stream experience. Could you define temporal difference learning? How much force am I exerting as a robot arm is lifting up a cup of coffee or a cup of water? The Cairo Toe University of Basel, LHTT.

Machine Learning 130

Machine Learning AI AI Robotics 130

Unite.AI

AUGUST 28, 2023

Traditional Computing Systems : From basic computing algorithms, the journey began. It shines in complex domains, such as cryptocurrency trading, robotics, and autonomous driving, making it a versatile tool in a plethora of applications. These systems could solve pre-defined tasks using a fixed set of rules.

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Auto-complete ChatGPT Large Language Models AI 240

BAIR

APRIL 6, 2023

Figure 1: “Interactive Fleet Learning” (IFL) refers to robot fleets in industry and academia that fall back on human teleoperators when necessary and continually learn from them over time. These robots use recent advances in deep learning to operate autonomously in unstructured environments.

Robotics 246

Robotics Algorithm Continuous Learning Artificial Intelligence 246

Heartbeat

JULY 5, 2023

Methodology: RL uses trial and error to learn from its interactions with the environment, whereas NLP relies on various techniques such as machine translation, named entity recognition, and sentiment analysis to process and analyze human language. Train the chatbot: Train the chatbot using reinforcement learning algorithms.

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NLP Chatbots Natural Language Processing Deep Learning 52

Pickl AI

AUGUST 29, 2023

It learns by receiving feedback in the form of rewards or penalties based on the actions it takes. Reinforcement learning is used in various applications, including game playing, robotics, self-driving cars, and optimizing business processes.

Data Scientist 52

Data Scientist Data Analysis Data Science Machine Learning 52

Flipboard

FEBRUARY 6, 2023

In high school, he and his friends wired up the school’s computers for machine learning algorithm training, an experience that planted the seeds for Steinberger’s computer science degree and his job at Meta as an AI researcher.

Software Engineer 123

Software Engineer Neural Network Large Language Models Generative AI 123

IBM Journey to AI blog

JANUARY 10, 2024

AI operates on three fundamental components: data, algorithms and computing power. Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. What is artificial intelligence and how does it work?

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Artificial Intelligence Artificial Intelligence Neural Network Algorithm 208

Sebastian Ruder

FEBRUARY 23, 2023

Fixed routing is used in most function composition methods such as multi-task learning and adapters. Fixed routing can select different modules for different aspects of the target setting such as task and language in NLP or robot and task in RL, which enables generalisation to unseen scenarios. Learned routing.  Learned

Deep Learning 52

Deep Learning NLP Computer Vision Metadata 52

Viso.ai

DECEMBER 21, 2023

From the development of sophisticated object detection algorithms to the rise of convolutional neural networks (CNNs) for image classification to innovations in facial recognition technology, applications of computer vision are transforming entire industries. With this, he aimed to create more versatile and adaptive learning algorithms.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52