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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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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The MLOps Blog

APRIL 20, 2023

With over 3 years of experience in designing, building, and deploying computer vision (CV) models , I’ve realized people don’t focus enough on crucial aspects of building and deploying such complex systems. Hopefully, at the end of this blog, you will know a bit more about finding your way around computer vision projects.

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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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Pickl AI

APRIL 19, 2024

Select the right learning path tailored to your goals and preferences. Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops. Specialise in domains like machine learning or natural language processing to deepen expertise.

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Viso.ai

APRIL 29, 2024

A Spatial Transformer Network (STN) is an effective method to achieve spatial invariance of a computer vision system. Performance of Spatial Transformer Networks vs Other Solutions Since its introduction in 2015, STNs have tremendously advanced the field of computer vision. Max Jaderberg et al.

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Viso.ai

MARCH 26, 2024

This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. Learn more by booking a demo. Vaswani et al.

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Pickl AI

JULY 10, 2024

Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation. In this fast-evolving field, continuous learning and upskilling are crucial for staying relevant and competitive. Practical applications in NLP, computer vision, and robotics.

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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

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Pickl AI

OCTOBER 24, 2024

AI encompasses various subfields, including Natural Language Processing (NLP), robotics, computer vision , and Machine Learning. On the other hand, Machine Learning is a subset of AI. It focuses on enabling machines to learn from data and improve performance without explicitly being programmed for each task.

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Pickl AI

NOVEMBER 5, 2024

Artificial Intelligence, on the other hand, refers to the simulation of human intelligence in machines programmed to think and learn like humans. AI encompasses various subfields, including Machine Learning (ML), Natural Language Processing (NLP), robotics, and computer vision.

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Pickl AI

OCTOBER 20, 2024

Diverse career paths : AI spans various fields, including robotics, Natural Language Processing , computer vision, and automation. Importance of Working on AI Projects Projects help reinforce your learning and allow you to experience how AI is applied in real-world situations.

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Pickl AI

SEPTEMBER 30, 2024

Businesses can also use ML to refine their strategies by continuously learning from new data, allowing them to adapt quickly to changing market conditions. For example, ML-powered robots can perform quality checks and maintenance predictions in manufacturing, ensuring smooth operations and minimising downtime.

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Viso.ai

DECEMBER 21, 2023

Over the past decade, the field of computer vision has experienced monumental artificial intelligence (AI) breakthroughs. This blog will introduce you to the computer vision visionaries behind these achievements. Viso Suite is the end-to-End, No-Code Computer Vision Solution.

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NVIDIA

NOVEMBER 13, 2024

As 2025 approaches, industries such as healthcare, telecommunications, entertainment, energy, robotics, automotive and retail are using those models, combining it with their proprietary data and gearing up to create AI that can reason. responded that agentic AI sits atop the list alongside edge AI, AI cybersecurity and AI-driven robots.

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AI Weekly

SEPTEMBER 5, 2024

cnbc.com Robotics Top 10 robotics developments of August 2024 As we enter the third quarter of the year, the frenzy around humanoid robots has continued. In August 2024, five of our top 10 stories were about such robots or humanoid alternatives. therobotreport.com If robots could lie, would we be okay with it?

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ML @ CMU

DECEMBER 2, 2024

To overcome this, the authors introduce Cooperative Human-Object Interaction (CooHOI), a framework that uses a two-phase learning approach: first, individual humanoids learn object interaction skills from human motion data, and then they learn to work together using multi-agent reinforcement learning.

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