Month: April 2023

Blog
Chirag Jain

5 Key Technologies to Enable a Digital Enterprise

In today’s fast-paced business landscape, digital transformation has become an omnipresent reality cutting across industries. Enterprises are increasingly realizing the immense potential of leveraging data, but simply capturing and storing data is not enough to fully unlock its value. The real power lies in seamlessly integrating data into every aspect from development to delivering value to your customer, creating a dynamic Intelligent Ecosystem. Forward-thinking executives are focusing on prioritizing digital technologies that power digital transformation trends to empower enterprises with the competitiveness needed in this evolving business landscape.

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Blog
Parthavi Parmar

DDOS Attacks: What, How, and the Emergence of AI-powered DDoS

The blog provides an overview of the taxonomy of DDoS attacks and the primary categories of these attacks, such as volume-based attacks, protocol attacks, and application layer attacks. It also discusses the symptoms and tools used to detect DDoS attacks. Additionally, it covers the emergence of AI-powered DDoS attacks and stresses the importance of implementing measures to prevent and mitigate the effects of DDoS attacks on businesses and organizations.

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Blog
eInfochips PES

From Concept to Completion: Streamlining 3D Scene Creation for Robotics with Nvidia Isaac Sim and Blender

The article discusses the benefits and challenges of combining Blender and Nvidia Isaac Sim to create realistic simulations for robotics applications. By integrating Blender’s 3D modeling and animation capabilities with Nvidia Isaac Sim’s simulation software, more detailed and accurate models can be developed for testing and refining algorithms. Additionally, synthetic data generated from Nvidia Isaac Sim can be used to train deep perception models, which reduces the time and effort required to gather and annotate datasets.

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Blog
eInfochips PES

Sensor Fusion – Part 2

This blog is the second part of a two-part series where we will introduce the usage of sensor fusion in Autonomous Mobile Robots (AMRs) that are enabled to work with ROS (Robot Operating System) 2. In the first part, we introduced sensor fusion, briefly covered a sensor fusion algorithm called EKF (Extended Kalman Filters), and then walked through some of the experiments we did in simulation and on our AMR.

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