Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems Generative AI systems are already being used to write books, create graphic designs, assist medical practitioners, and are becoming increasingly capable. Ensuring these systems are developed and deployed responsibly requires carefully evaluating the potential ethical and social risks they may…
In the quickly advancing field of Artificial Intelligence (AI), Deep Learning is becoming significantly more popular and stepping into every industry to make lives easier. Simultaneous Localization and Mapping (SLAM) in AI, which is an essential component of robots, driverless vehicles, and augmented reality systems, has been experiencing revolutionary advancements recently.
SLAM involves reconstructing the…
The debate over the encroachment of machines replacing human jobs and the emergence of collaborative robots (cobots) has taken center stage. This discourse holds immense relevance regarding the future of employment, industry efficiency, and the coexistence of humans and advanced technology.
This discourse encompasses broader questions about the necessity of adaptability in the face…
Managing cash flow within your business is paramount to financial success – that’s a no-brainer. While accrual accounting lets you tweak and massage stats to reflect non-cash expenses, all businesses live and die on cash accounting: are your products or services bringing in more cash than you’re sending out? While selling a superior service or…
Introduction: In today’s fast-paced business world, Artificial Intelligence (AI) is becoming increasingly important in helping companies stay competitive. With the power to automate routine tasks, make data-driven decisions, and unlock new opportunities, AI is transforming the way we work and live. But to harness the full potential of AI, you need the right Application Development…
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It’s an exciting time for the data field, and data engineers play a big part in it. With preparing and managing the data infrastructure, data engineers bring tools necessary for data collection, storage, processing, and analysis. That’s why data engineers play a significant role in a data-driven company.…
How to avoid overfitting whilst training your neural network https://www.flaticon.com/free-icons/neural-network. title=”neural network icons.” Neural network icons created by Vectors Tank — Flaticon.Background What is Overfitting? Lasso (L1) and Ridge (L2) Regularisation Early Stopping Dropout Other Methods Summary So far in this neural networks 101 series we have discussed two ways to improve the performance of…
A team of researchers from MIT and the Institute of AI and Fundamental Interactions (IAIFI) has introduced a groundbreaking framework for robotic manipulation, addressing the challenge of enabling robots to understand and manipulate objects in unpredictable and cluttered environments. The problem at hand is the need for robots to have a detailed understanding of 3D…
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MeshGPT is proposed by researchers from the Technical University of Munich, Politecnico di Torino, AUDI AG as a method for autoregressive generating triangle meshes, leveraging a GPT-based architecture trained on a learned vocabulary of triangle sequences. This approach uses a geometric vocabulary and latent geometric tokens to represent triangles, producing coherent, clean, compact meshes with…