Marktechpost

NOVEMBER 12, 2024

Data analysis is the cornerstone of modern decision-making. It involves the systematic process of collecting, cleaning, transforming, and interpreting data to extract meaningful insights. In this article, we delve into eight powerful data analysis methods and techniques that are essential for data-driven organizations: 1.

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Marktechpost

JANUARY 30, 2025

Image Source Agentic AI is born out of a need for software and robotic systems that can operate with independence and responsiveness. Industrial Robotics Robot arms on factory floors coordinate with sensor networks to assemble products more efficiently, diagnosing faults and adjusting their operation in real time.

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AI Weekly

JULY 13, 2023

In The News Robots at United Nations Summit in Geneva : we have no plans to steal jobs or rebel against humans Robots have no plans to steal the jobs of humans or rebel against their creators, but would like to make the world their playground, nine of the most advanced humanoid robots have told an artificial intelligence summit in Geneva.

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Unite.AI

JANUARY 17, 2024

is a perfect fit for businesses at the forefront of AI-powered data analysis and autonomous systems. OpenRobot.AI : Targeting open-source robotics ventures, OpenRobot.AI is a fitting domain for companies ranging from collaborative robotics to educational robotics platforms. Businesses under HumanX.AI

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Unite.AI

OCTOBER 3, 2024

Mobile app developer NetDragon Websoft appointed a robot CEO in 2022. The AI bot, named Tang Yu, provides real-time data analysis to inform strategic decisions, assesses risks and streamlines workflows. They also get their answers from the same data every time, reducing the likelihood of mistakes or miscommunication.

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Unite.AI

NOVEMBER 6, 2024

This feature is invaluable for software engineering and data analysis tasks, as it minimizes human intervention and speeds up development cycles. Code Execution and Automation Unlike many AI frameworks, AutoGen allows agents to generate, execute, and debug code automatically.

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IBM Journey to AI blog

JUNE 14, 2023

artificial intelligence (AI) applications, the Internet of Things (IoT), robotics and augmented reality, among others) to optimize enterprise resource planning (ERP), making companies more agile and adaptable. At a Phillips plant in the Netherlands, for example, robots are making the brand’s electric razors.

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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.

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Towards AI

DECEMBER 16, 2024

How You Can Use It: Robotics and AR/VR Systems: Use Vision Mambas lightweight architecture to build real-time vision systems. Application to a broad range of tasks, including physics-based simulations and temporal data analysis. Key Contributions: State-space models for vision tasks.

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Unite.AI

DECEMBER 20, 2023

5G will generate real-time data that can be translated into real-world applications in production. Based on data analysis, these technological capabilities not only improve productivity and efficiency, but also enable more informed decisions. The true potential of 5G can only be realized when it is integrated with Industry 4.0

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O'Reilly Media

JANUARY 17, 2023

From a high level, then, the role of the data scientist is to understand data analysis and predictive modeling, in the context of the company’s use cases and needs. Some data scientists might claim that autoML is taking their job away. (We Could we feed a model tons of text, and get it to produce text on demand?

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Unite.AI

FEBRUARY 6, 2025

Real-world examples of ethics could include whether it is ethical for a companion robot to care for the elderly, for a website bot to give relationship advice, or for automated machines to eliminate jobs performed by humans. Ethics are moral principles intended to guide behavior in the quest to define what is right or wrong.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Through live data analysis and predictive forecasting, AI tools can help employees working in network operations centers and network engineers to mitigate congestion and downtime. As 5G networks continue to expand, the need for intelligent load balancing and traffic shaping will likely grow.

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Unite.AI

MARCH 18, 2024

The growth in the adoption of wearable devices and sensors that collect continuous health data improves patient outcomes with real-time monitoring and data analysis that can deliver early detection and intervention outcomes.

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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?

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Unite.AI

MARCH 19, 2025

By providing a no-code interface and the ability to deploy multiple AI agents, it empowers non-technical users to automate tasks such as customer inquiries and data analysis. UiPath excels in robotic process automation (RPA) and offers a comprehensive suite of tools to automate structured business processes across organizations.

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Unite.AI

MARCH 28, 2025

UiPath UiPath is a leading platform in the automation space, traditionally known for Robotic Process Automation (RPA) and now evolving to integrate AI agents into its suite. In UiPaths vision, software robots (RPA bots) handle repetitive, rule-based tasks, while AI agents tackle the more complex, cognitive aspects of processes.

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IBM Journey to AI blog

FEBRUARY 14, 2024

The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. Gear up robotics AI is not just about asking for a haiku written by a cat. Robots handle and move physical objects.

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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.

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Unite.AI

JUNE 29, 2023

The highlighted use cases vary, from extracting customer insights to instilling empathetic personalities in robots. Check out this article for great examples of why tech companies opt for Google Cloud's Speech APIs. For a deeper dive, browse our AI product page , offering additional APIs such as Translation, Vision, and more.

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AWS Machine Learning Blog

OCTOBER 16, 2024

Methods such as field surveys and manual satellite data analysis are not only time-consuming, but also require significant resources and domain expertise. This often leads to delays in data collection and analysis, making it difficult to track and respond swiftly to environmental changes.

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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.

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AssemblyAI

MAY 14, 2024

Automated Data Analysis Marvin integrates advanced AI models to provide automated transcription services that convert audio and video data into accurate, actionable text. It lets users analyze text to detect patterns, extract meaningful information, and even redact sensitive data (automatically).

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Marktechpost

OCTOBER 23, 2024

Common control algorithms, such as proportional-integral-derivative (PID) control and model predictive control, are applied in AI for tasks like robotics, autonomous vehicles, and process automation. Control theory plays a critical role in AI applications across areas like robotics, autonomous systems, and industrial automation.

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NVIDIA

MARCH 25, 2025

With these tools, developers can easily create complex AI applications like chatbots, image generators and data analysis systems. Support for ComfyUI is coming soon. This means its responsive, free and can run without an internet connection. G-Assist was built for community-driven expansion.

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IBM Journey to AI blog

MARCH 8, 2024

One example is the area of remote surgery that uses robotics and a high-definition live stream connected to the internet via a 5G network. Ultra-reliable edge computing and 5G enable the enterprise to achieve faster transmission speeds, increased control and greater security over massive volumes of data.

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Robot Writers AI

NOVEMBER 10, 2024

Google’s recently popular NotebookLM , for example, has been hailed by some as ‘insanely magical’ for its ability to scrutinize a text document and then quickly auto-generate an audio discussion about that document by two, extremely human-sounding robotic voices. appeared first on Robot Writers AI.

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IBM Journey to AI blog

DECEMBER 20, 2023

Unsupervised machine learning Unsupervised learning algorithms—like Apriori, Gaussian Mixture Models (GMMs) and principal component analysis (PCA)—draw inferences from unlabeled datasets, facilitating exploratory data analysis and enabling pattern recognition and predictive modeling.

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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.

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TransOrg Analytics

MARCH 20, 2025

robotic process automation bots handling repetitive business tasks). Learning & Adaptation Continuously improves through data analysis. Utility-Based Agents Weigh different possible outcomes before deciding (e.g., AI-powered stock trading bots). Learning Agents Improve over time based on experience (e.g.,

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Unite.AI

MARCH 12, 2024

For instance, Robotic Process Automation employs software “bots” or “robots” to automate repetitive tasks, ideal for those following predictable patterns without the need for complex decision-making. The hyperautomation market is currently valued at approximately USD 12.95 billion by 2029.

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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. This has led to exploring alternative methods to maintain performance while being more resource-efficient.

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IBM Journey to AI blog

DECEMBER 15, 2023

Scikit-learn is a powerful open-source Python library for machine learning and predictive data analysis. Its simple setup, reusable components and large, active community make it accessible and efficient for data mining and analysis across various contexts. Morgan and Spotify.

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NYU Center for Data Science

DECEMBER 6, 2024

Beyond healthcare, Symile could also advance robotics applications by helping robots better understand relationships between different types of sensor data. Symiles approach to processing multiple types of data simultaneously could help robots better understand these kinds of composite relationships.

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Marktechpost

JULY 28, 2023

Mentats are humans or robots who are trained to perform complex tasks such as Machine Learning and Data Analysis similar to that of Artificial intelligence. As mentioned before Mentat are Human robots that evolved to perform complex tasks like Data Analytics and Machine Learning.

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TheSequence

OCTOBER 27, 2024

Complementing these model upgrades, Anthropic has also introduced a new "analysis tool" in Claude.ai. This tool empowers Claude to write and execute JavaScript code, enabling it to perform data analysis, generate insights, and even create visualizations. Humanoid robotics startup Agility is closing a $150 million round.

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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.

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