O'Reilly Media

JANUARY 17, 2023

A common task for a data scientist is to build a predictive model. You know the drill: pull some data, carve it up into features, feed it into one of scikit-learn’s various algorithms. What does that teach me about my data? The first go-round never produces a great result, though. (If How well did it perform?

Automation 145

Automation Robotics Data Scientist ML 145

IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences. What is machine learning?

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Marktechpost

NOVEMBER 27, 2024

Machine Learning, a subset of Artificial Intelligence, has emerged as a transformative force, empowering machines to learn from data and make intelligent decisions without explicit programming. At its core, machine learning algorithms seek to identify patterns within data, enabling computers to learn and adapt to new information.

Machine Learning 113

Machine Learning Algorithm Neural Network Convolutional Neural Networks 113

NVIDIA

DECEMBER 11, 2024

Scalable simulation technologies are driving the future of autonomous robotics by reducing development time and costs. Universal Scene Description (OpenUSD) provides a scalable and interoperable data framework for developing virtual worlds where robots can learn how to be robots.

Robotics 81

Robotics Computer Vision AI Modeling Deep Learning 81

Unite.AI

OCTOBER 7, 2024

I came up with the idea to build a robotic body therapy system in 2019 during my trip to the US. It took my team nine months to make a demo that showcased the concept of a robotic massage. 1st iteration of adding a robot to a traditional aesthetic device. Can you share the journey that led you to create roboSculptor?

Robotics 147

Robotics Neural Network Machine Learning Automation 147

Marktechpost

OCTOBER 23, 2024

From the statistical foundations of machine learning to the complex algorithms powering neural networks, mathematics plays a pivotal role in shaping the capabilities and limitations of AI. The chain rule, essential for differentiating composite functions, plays a vital role in backpropagation, the algorithm used to train neural networks.

Neural Network 116

Neural Network Algorithm Robotics Machine Learning 116

Aiiot Talk

SEPTEMBER 3, 2024

Hazard Detection and Prevention AI is improving safety in mining by leveraging machine learning and data analysis. It can make the extraction process more efficient using advanced algorithms and data analysis. For example, AI can analyze geological data to pinpoint the best areas to mine, saving time and resources.

Data Analysis 148

Data Analysis Artificial Intelligence Artificial Intelligence Automation 148

IBM Journey to AI blog

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Morgan and Spotify.

AI Tools 207

AI Tools Deep Learning Computer Vision Python 207

Aiiot Talk

SEPTEMBER 21, 2023

Exploring AI’s potential in lab environments promises greater efficiency, reduced human error and faster advancements in areas like drug development and data analysis. Enter AI — a powerful tool that can handle data analysis, automate routine tasks and even aid in complex decision-making processes.

Data Analysis 130

Data Analysis Automation Algorithm Artificial Intelligence 130

Marktechpost

JULY 23, 2023

The lack of data consistency, inadequate formatting, and the desire for significant, labeled datasets have all contributed to the limited success of recent advancements in machine learning, which have enabled quick and more complex visual data analysis.

Machine Learning 98

Machine Learning Artificial Intelligence Artificial Intelligence Algorithm 98

How to Learn Machine Learning

MARCH 23, 2025

Algorithmic trading systems now incorporate not just market data but also analyze news, social media sentiment, and macroeconomic indicators to make investment decisions with remarkable accuracy. Financial Intelligence : Machine learning has revolutionized risk assessment, fraud detection, and investment strategies.

Machine Learning 52

Machine Learning Artificial Intelligence Artificial Intelligence Computer Vision 52

Marktechpost

MAY 28, 2024

These models are designed to handle data where the order of inputs is significant, making them essential for tasks like robotics, financial forecasting, and medical diagnoses. Attention can be computed recurrently, as shown by Rabe and Staats, and softmax-based Attention can be reformulated as an RNN.

Neural Network 132

Neural Network Machine Learning Algorithm Robotics 132

Aiiot Talk

APRIL 30, 2024

AI and ML are augmenting human capabilities and advanced data analysis, paving the way for safer and more reliable NDT processes in the following ways. Using AI to Enhance Pattern Recognition Advanced AI algorithms trained on large enough datasets can find various patterns and provide detailed insights into the condition of materials.

Automation 130

Automation Algorithm Machine Learning ML 130

Marktechpost

JUNE 5, 2024

AI in Agricultural Biotechnology: In agricultural biotechnology, AI and ML solutions are transforming the sector by enabling the development of autonomous robots for tasks like harvesting crops, which increases efficiency. ML algorithms also help predict environmental changes, including weather fluctuations, that impact crop yield.

Artificial Intelligence 120

Artificial Intelligence Artificial Intelligence Deep Learning Algorithm 120

Pickl AI

JULY 22, 2024

Summary: Local Search Algorithms are AI techniques for finding optimal solutions by exploring neighbouring options. Local Search Algorithms in Artificial Intelligence offer an efficient approach to tackle such problems by focusing on incremental improvements to a current solution rather than exploring the entire solution space.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Algorithm Machine Learning 52

Aiiot Talk

JULY 7, 2023

AI is today’s most advanced form of predictive maintenance, using algorithms to automate performance and sensor data analysis. Aircraft owners or technicians set up the algorithm with airplane data, including its key systems and typical performance metrics.

Black Box AI 130

Black Box AI Algorithm Explainability Explainable AI 130

Towards AI

AUGUST 29, 2023

This version offers unlimited access to GPT-4 at higher speeds, extended context windows (32k) for handling longer inputs, advanced data analysis capabilities, customization options, and additional features. This integration is compatible with Nvidia GPUs as well as RoCm-powered AMD GPUs.

Large Language Models 105

Large Language Models Robotics Python OpenAI 105

NVIDIA

FEBRUARY 7, 2024

Robots are being deployed on important missions to help preserve the Earth. Eighty-two percent of companies surveyed are already using or exploring AI, and 84% report that they’re increasing investments in data and AI initiatives. Most robots are battery-operated and rely on an array of lidar sensors and cameras for navigation.

Robotics 114

Robotics Convolutional Neural Networks AI AI 114

Aiiot Talk

JULY 20, 2023

AI also performs this kind of analysis faster than humans, leading to quicker breakthroughs to prevent fusarium-related losses. Data from the research algorithms can let other AI models act on these historical trends to determine when a harvest will likely contain fusarium.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Algorithm AI 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 111

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 111

Aiiot Talk

DECEMBER 27, 2023

Enhancing Decision-Making with AI Insights The core of AI lies in its ability to process vast amounts of data and extract meaningful insights, a crucial aspect of informed decision-making in business. This capability is invaluable for businesses in safeguarding their digital assets and customer data. So, what is AI in this context? “It’s

Automation 130

Automation Artificial Intelligence Artificial Intelligence Robotics 130

Flipboard

NOVEMBER 22, 2023

More AI analysis-ready datasets on the Registry of Open Data The Multi-robot, Multi-Sensor, Multi-Environment Event Dataset (M3ED ) is the first multi-sensor event camera dataset focused on high-speed dynamic motions in robotics applications.

Robotics 100

Robotics Machine Learning Metadata ML 100

Towards AI

MARCH 22, 2024

Through complex algorithms, AI can provide predictive analysis in a multitude of domains — crunching data sets to predict outcomes, from elections to education, from weather to wearables. Learning requires data — and who’s data is it anyways? And who’s model is crunching the data?

Computer Scientist 116

Computer Scientist AI Modeling Robotics Data Science 116

O'Reilly Media

SEPTEMBER 19, 2023

But in its early form of a Hadoop-based ML library, Mahout still required data scientists to write in Java. And it (wisely) stuck to implementations of industry-standard algorithms. A common audience question was “can Hadoop run [my arbitrary analysis job or home-grown algorithm]?” And, often, to giving up.

Algorithm 134

Algorithm Machine Learning Neural Network Data Scientist 134

Aiiot Talk

MARCH 27, 2024

This transformation has enabled companies to analyze vast data sets efficiently and automate complex processes. In business, you need to learn how AI is changing the game for cloud computing and data analysis, as it plays a critical role in staying ahead in an increasingly data-driven world.

Automation 130

Automation Artificial Intelligence Artificial Intelligence Data Analysis 130

Marktechpost

MAY 10, 2024

This entails creating machine learning algorithms and forecasting their results with a single mouse click. Use the data dialog to modify your dataset without additional code, then distribute or showcase your ML models across your organization. It can be used for revenue forecasting, supply chain planning, and targeted advertising.

AI Tools 116

AI Tools Machine Learning Artificial Intelligence Artificial Intelligence 116

NVIDIA

DECEMBER 6, 2023

Deep learning algorithms like OpenAI’s ChatGPT, further trained with corporate data, could add the equivalent of $2.6 This enables developers to use standard programming languages instead of needing custom, specialized knowledge to build quantum algorithms. Enterprises are riding the trend. trillion to $4.4

Robotics 120

Robotics Generative AI Large Language Models ML 120

Aiiot Talk

FEBRUARY 1, 2024

Marketing, for instance, can benefit from its data processing and learning abilities to convert potential leads into verified customers. Machine learning (ML) is an artificial intelligence (AI) that uses advanced algorithms to make predictions and decisions by processing data.”

Machine Learning 130

Machine Learning Chatbots Artificial Intelligence Artificial Intelligence 130

Becoming Human

JUNE 14, 2023

By leveraging machine learning algorithms and advanced analytics, AI can analyze complex medical data, identify trends, and generate actionable insights. Robot-Assisted Surgery: AI-powered robots can assist surgeons during complex procedures, providing greater precision, stability, and control.

Robotics 75

Robotics Artificial Intelligence Artificial Intelligence Algorithm 75

Marktechpost

FEBRUARY 23, 2025

The Evolution of AI Agents Transition from Rule-Based Systems Early software systems relied on rule-based algorithms that worked well in controlled, predictable environments. This use of AI helps clinicians by providing data-driven insights that complement their expertise.

Natural Language Processing 56

Natural Language Processing Machine Learning AI AI 56

Flipboard

DECEMBER 18, 2023

Defining the Integration of Artificial Intelligence Integrating AI refers to the incorporation of machine-driven intelligence into various applications and processes, enabling tasks that mimic human cognitive functions like learning from data, problem-solving and recognizing patterns. It's going to come from… the instructor.

Artificial Intelligence 179

Artificial Intelligence Artificial Intelligence Machine Learning Generative AI 179

Marktechpost

DECEMBER 10, 2023

This entails creating machine learning algorithms and forecasting their results with a single mouse click. Use the data dialog to modify your dataset without additional code, then distribute or showcase your ML models across your organization. It can be used for revenue forecasting, supply chain planning, and targeted advertising.

AI Tools 113

AI Tools Machine Learning Artificial Intelligence Artificial Intelligence 113

NVIDIA

DECEMBER 7, 2023

Schwartz’s research and design lab SiBORG — which stands for simulation, biomechanics, robotics and graphics — focuses on understanding and improving design workflows, especially in relation to accessibility, human factors and automation. Schwartz and his team develop algorithms for research projects and turn them into usable products.

Python 87

Python Data Analysis Robotics Algorithm 87

Towards AI

APRIL 4, 2024

Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme. Shall we unravel the true meaning of machine learning algorithms and their practicability?

Machine Learning 81

Machine Learning Algorithm Neural Network Categorization 81

Pickl AI

JANUARY 13, 2025

Machine Learning Engineer Machine Learning Engineers develop algorithms and models that enable machines to learn from data. Strong understanding of data preprocessing and algorithm development. Data Scientist Data Scientists analyze complex data sets to extract meaningful insights that inform business decisions.

Machine Learning 52

Machine Learning Robotics Data Scientist Python 52

Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation. billion by 2029.

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

Unite.AI

JULY 26, 2023

It is increasingly being employed in areas like robotic process automation bots, 3D assets, scripts, robot instructions, and other types of content and digital media. It involves the design of algorithms and techniques to help the AI model understand and respond to prompts more effectively.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Large Language Models 246