As embodied AI moves from demos to deployment, my personal view is that the future will follow the evolutionary path. It better matches how technologies scale, how businesses work, and how our ...

Tree genome evolution is a fascinating area in the study of biodiversity and ecosystem stability. Trees, with their distinctive life history traits, such as ...

Cognizant CAIO Babak Hodjat on agentic AI, sovereign compute, and how India’s AI ecosystem can scale through infrastructure, design, and collaboration, interview ...

Abstract: Over the past decades, extensive research has been conducted on adversarial attacks and defense mechanisms in deep learning, particularly in real-world applications such as autonomous ...

Abstract: This paper presents the optimisation of the states of PIN diodes in a design of a pattern reconfigurable antenna operating at a centre frequency of 5 GHz. The proposed design comprises a ...

The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...

Google has demonstrated a 13,000 times speedup for the Quantum Echoes algorithm using its Willow quantum chip. The feat is repeatable, according to the company, and it paves the way toward real-world ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

Large language models (LLMs) leverage unsupervised learning to capture statistical patterns within vast amounts of text data. At the core of these models lies the Transformer architecture, which ...