The rapid advancement in machine learning techniques and sensing devices over the past decades have opened new possibilities for the detection and tracking of objects, animals, and people. The accurate and automated detection of visual targets, also known as...
Machine learning & AI
The AI bassist: Sony’s vision for a new paradigm in music production
Generative artificial intelligence (AI) tools are becoming increasingly advanced and are now used to produce various personalized content, including images, videos, logos, and audio recordings. Researchers at Sony Computer Science Laboratories (CSL) have recently been...
An AI system that offers emotional support via chat
The rapid advancement of natural language processing (NLP) models and large language models (LLMs) has enabled the development of new use-specific conversational agents designed to answer specific types of queries. These range from AI agents that offer academic...
Human-like real-time sketching by a humanoid robot
The rapid advancement of deep learning algorithms and generative models has enabled the automated production of increasingly striking AI-generated artistic content. Most of this AI-generated art, however, is created by algorithms and computational models, rather than...
A deep reinforcement learning approach to enhance autonomous robotic grasping and assembly
Semi-autonomous and autonomous robots are being introduced in a growing number of real-world environments, including industrial settings. Industrial robots could speed up the manufacturing of various products by assisting human workers with basic tasks and lightening...
A camera-based anti-facial recognition technique
Facial recognition systems, computational tools that can recognize individuals in images or video footage, are now widely employed worldwide. Some users and developers, however, have raised privacy-related concerns, as by definition facial recognition techniques rely...
A simple technique to defend ChatGPT against jailbreak attacks
Large language models (LLMs), deep learning-based models trained to generate, summarize, translate and process written texts, have gained significant attention after the release of Open AI's conversational platform ChatGPT. While ChatGPT and similar platforms are now...
The solution space of the spherical negative perceptron model is star-shaped, researchers find
Recent numerical studies investigating neural networks have found that solutions typically found by modern machine learning algorithms lie in complex extended regions of the loss landscape. In these regions, zero-energy paths between pairs of distant solutions can be...
Can large language models detect sarcasm?
Large language models (LLMs) are advanced deep learning algorithms that can analyze prompts in various human languages, subsequently generating realistic and exhaustive answers. This promising class of natural language processing (NLP) models has become increasingly...
Computational event-driven vision sensors that convert motion into spiking signals
Neuromorphic vision sensors are unique sensing devices that automatically respond to environmental changes, such as a different brightness in their surrounding environment. These sensors mimic the functioning of the human nervous system, artificially replicating the...