Unite.AI

DECEMBER 19, 2024

Imagine a future where drones operate with incredible precision, battlefield strategies adapt in real-time, and military decisions are powered by AI systems that continuously learn from each mission. This capability is critical for military applications, where continuity and context are essential. Instead, it is happening now.

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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.

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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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Google Research AI blog

FEBRUARY 14, 2023

Posted by Kendra Byrne, Senior Product Manager, and Jie Tan, Staff Research Scientist, Robotics at Google (This is Part 6 in our series of posts covering different topical areas of research at Google. When applied to robotics, LLMs let people task robots more easily — just by asking — with natural language.

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Unite.AI

MARCH 2, 2025

The Rise of AI and the Memory Bottleneck Problem AI has rapidly transformed domains like natural language processing , computer vision , robotics, and real-time automation, making systems smarter and more capable than ever before. Meta AI has introduced SMLs to solve this problem.

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BAIR

JANUARY 20, 2023

While this kind of simulated training is appealing for games where the rules are perfectly known, applying this to real world domains such as robotics can require a range of complex approaches, such as the use of simulated data , or instrumenting real-world environments in various ways to make training feasible under laboratory conditions.

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Towards AI

MARCH 3, 2025

In todays rapidly evolving AI landscape, robotics is breaking new ground with the integration of sophisticated internal simulations known as world models. These models empower robots to predict, plan, and adapt in complex environments making them not only smarter but also more autonomous.

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Unite.AI

JANUARY 31, 2025

In practice, ARC-AGI has led to significant advancements in AI, especially in fields that demand high adaptability, such as robotics. Overcoming these challenges involves continuous learning and adaptation, like the AI systems ARC-AGI aims to evaluate.

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The MLOps Blog

FEBRUARY 22, 2024

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. What is continual learning?

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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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Marktechpost

APRIL 16, 2024

Reinforcement Learning (RL) is expanding its footprint, finding innovative uses across various industries far beyond its origins in gaming. Let’s explore how RL drives significant advancements in finance, healthcare, robotics, autonomous vehicles, and smart infrastructure.

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Marktechpost

SEPTEMBER 24, 2024

Solving sequential tasks requiring multiple steps poses significant challenges in robotics, particularly in real-world applications where robots operate in uncertain environments. These environments are often stochastic, meaning robots face variability in actions and observations.

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Unite.AI

OCTOBER 22, 2024

These AI-powered systems not only catch anomalies more quickly and accurately but also continuously learn from new patterns of fraud, enhancing their effectiveness over time. Their warehouses are famously AI-driven , with robots autonomously moving goods across facilities, optimizing storage and reducing human error.

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Unite.AI

MARCH 27, 2024

Lifelong Learning and Upskilling Continuous learning is essential due to persistent technological changes. Lifelong learning extends beyond formal education, encompassing online courses, workshops, and self-study endeavors. The following essential strategies can be useful in this regard.

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NVIDIA

JULY 31, 2024

The world has never seen a robotics company like this before,” said Huang. Zoox started out solely as a sustainable robotics company that delivers robots into the world as a fleet.” Since 2014, Zoox has been on a mission to create fully autonomous, bidirectional vehicles purpose-built for ride-hailing services.

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Unite.AI

JULY 25, 2023

Known as “catastrophic forgetting” in AI terms, this phenomenon severely impedes the progress of machine learning , mimicking the elusive nature of human memories. This insight is pivotal in understanding how continual learning can be optimized in machines to closely resemble the cognitive capabilities of humans.

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TheSequence

FEBRUARY 16, 2025

We discuss the potential and limitations of continuous learning in foundation models. The ERT method uses a vision-language model to generate contextually grounded instructions and iteratively refines them based on robot execution results. You can subscribe to The Sequence below: TheSequence is a reader-supported publication.

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Pickl AI

FEBRUARY 2, 2025

Summary: Q-learning is a simple yet powerful reinforcement learning algorithm that helps agents learn optimal actions through trial and error. Despite scalability challenges, It is versatile and applicable in robotics, gaming, and finance, providing a foundation for advanced RL. What Is Reinforcement Learning?

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TransOrg Analytics

MARCH 20, 2025

Learning Agents Improve over time based on experience (e.g., robotic process automation bots handling repetitive business tasks). Learning Ability May improve through updates but remains specialized Continuously learns from data and past interactions. AI-powered stock trading bots).

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IBM Journey to AI blog

JANUARY 10, 2024

AI-powered robots can even assemble cars and minimize radiation from wildfires. The automation and continuous learning features of AI-based programs enable developers to scale processes quickly and with relative ease, representing one of the key advantages of ai.

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Pickl AI

MARCH 7, 2025

Example: The Intel Lava framework allows developers to create and deploy neuromorphic applications on Intels Loihi chips, facilitating innovation in AI and robotics. Impact: Reduced latency ensures better performance in applications requiring immediate responses, such as robotics and medical diagnostics.

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Towards AI

OCTOBER 3, 2024

Lifelong Learning Models: Research aims to develop models that can learn incrementally without forgetting previous knowledge, which is essential for applications in autonomous systems and robotics.

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Marktechpost

MARCH 3, 2025

An agentic AI is designed to autonomously plan, execute multi-step tasks, and continuously learn from feedback. Some agents may update their policies over time using reinforcement learning, but this learning is often isolated from real-time operation. In contrast, agentic AI systems are built to be adaptive.

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Unite.AI

FEBRUARY 15, 2024

This continuous learning is essential for maintaining our edge and ensuring our strategies remain relevant and effective. What is your vision for the future of AI and robotics? The future of AI and robotics is shaping up to be both exciting and transformative.

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Unite.AI

AUGUST 3, 2023

We are committed to helping companies leverage their wealth of institutional knowledge and expertise and enable their employees to continually learn and grow. It’s about turning weaknesses into strengths and capitalizing on individual areas of expertise to foster a continuous learning culture. It’s a thrilling journey.

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Aiiot Talk

JULY 24, 2024

Machine learning enables it to continuously learn and adapt from new data, improving its prediction models over time. With real-time analysis, businesses can stay ahead of market shifts to make more informed investment decisions. Moreover, AI is accurate in market predictions.

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Aiiot Talk

JUNE 27, 2024

Leveraging ML allows these chatbots to continuously learn and improve from each interaction and enhance their ability to assist with more complex inquiries over time. AI-powered chatbots can handle various client queries, offer instant responses and quickly resolve issues. About 60% of U.S.

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Marktechpost

AUGUST 30, 2024

This allows it to engage users conversationally, making interactions feel more intuitive and less robotic. Continuous Learning and Improvement: ChatGPT-powered FAQ systems can evolve. This continuous learning process ensures that the FAQ system remains up-to-date with the latest information and user expectations.

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Marktechpost

JULY 7, 2024

The inability of ANNs to continuously adapt to new information and changing conditions hinders their effectiveness in real-time applications such as robotics and adaptive systems. This limitation poses a significant challenge for their application in dynamic and unpredictable environments.

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Aiiot Talk

APRIL 23, 2024

Investing in continuous learning opportunities is vital, as it ensures your team keeps pace with evolving threats and technologies. Train Your Team Training your IT and security teams to use AI-powered tools proficiently is crucial, as humans can be the weakest link in the security chain.

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Unite.AI

AUGUST 20, 2024

Technological Advancements The technology behind Amazon Rufus combines advanced AI and machine learning techniques that significantly enhance the shopping experience. Rufus employs generative AI to create more natural and engaging user interactions, making conversations feel more intuitive and less robotic.

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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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Towards AI

AUGUST 6, 2023

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! Machine Learning Street Talk: Currently the top AI podcast on Spotify and is inspired by academic research. My tops ones are this and this. This is my favorite one so far.

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Unite.AI

AUGUST 28, 2023

It shines in complex domains, such as cryptocurrency trading, robotics, and autonomous driving, making it a versatile tool in a plethora of applications. Notably, the underlying strength of BabyAGI isn't just its adaptability but also its proficiency in running code for specific objectives.

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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. Due to its growing appeal, a lot of hype has been created about the amazing potential it can provide to both large and small businesses globally.

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Pickl AI

FEBRUARY 17, 2025

Generalisation is vital for ensuring that Machine Learning models remain effective in real-world applications, where conditions may vary from those present during training. Adaptiveness Machine Learning algorithms are inherently adaptive; they continuously learn and improve as new data becomes available.

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Aiiot Talk

FEBRUARY 1, 2024

Machine learning can take over recurring functions more efficiently to maximize productivity 24/7. Your teams can use the time freed up by machine learning for other valuable processes like planning and strategizing. Continuous learning and adjustment: Machine learning models become better at specific tasks the more they do it.

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