Conversational AI revolutionizes the customer experience landscape

An experiment showed that humans can accurately identify AI-generated human faces only 48.2% of the time. The study utilized StyleGAN2 to synthesize the faces. Interestingly, participants rated the synthetic faces as more trustworthy than real ones,…

Large language models (LLMs) excel at text-based natural language processing tasks through creative prompt engineering and in-context learning. However, their performance on spoken language understanding (SLU) tasks relies heavily on speech-to-text conversion by an off-the-shelf automation…

An international research group has studied the relationship between electrical stimulation in stick insects’ leg muscles and the resulting leg movement. This research on hybrid insect computer robots could pave the way for advancements in robotics.

The MIT-Pillar AI Collective has selected three fellows for fall 2023. They are pursuing research in AI, machine learning, and data science, with the goal of commercializing their innovations. The Fellows include Alexander Andonian, Daniel Magley,…

Abu Dhabi-based company M42 Health has released Med42, an open-access clinical large language model (LLM) designed to enhance public access to advanced AI capabilities in healthcare. Med42, built using a human-curated medical literature and patient information…

The use of personally identifiable information (PII) is widespread and includes various types of data that can identify individuals. Detecting and redacting PII is essential for privacy protection and compliance. Failure to do so can lead…

GATE, a well-known engineering exam, has introduced a new paper on Data Science and Artificial Intelligence (DA) to keep up with the evolving technological landscape. This article discusses the significance of this addition for those interested…

Google DeepMind researchers have proposed a framework called ‘Levels of AGI’ to categorize and understand the behavior of Artificial General Intelligence (AGI) models. The framework focuses on autonomy, generality, and performance, offering a common vocabulary to…

The 2024 Global Virtual MarTech Summit is a virtual event taking place on February 21, 2024, for the EMEA track. It will feature industry leaders discussing AI & ML technology, full-funnel marketing, and talent acquisition. With…

Understanding map projections is essential due to the need to represent the Earth’s spherical surface on 2-dimensional maps. The process entails projecting the surface to a 2D image, resulting in distortions. Various map projections exist, each…

Top soccer teams seek an advantage through extensive data analysis. Google DeepMind’s AI assistant, TacticAI, offers advanced recommendations for soccer set-pieces by analyzing corner kick scenarios. It reduces coaches’ workload and its strategies outperformed real tactics…

Practical Solutions in Deep Learning Efficient and Expressive Models In deep learning, there is a growing emphasis on developing models that are both computationally efficient and robustly expressive, especially in areas like NLP, image analysis, and…

Transforming Language Processing with AI Transforming Language Processing with AI Understanding Language Processing Challenges Language processing is a complex task due to its multi-dimensional and context-dependent nature. Researchers in psycholinguistics have made efforts to define symbolic…

Practical Solutions and Value Genomic Rearrangements and Bridge RNA Discover a modular approach to RNA-guided genetic rearrangements in bacteria, offering precise DNA targeting and insertion with minimal off-target effects. The system allows for accurate genomic engineering,…

Practical Solutions for Deep Reinforcement Learning Instability Addressing the Challenge Challenges in Deep Reinforcement Learning (DRL) due to instability caused by churn during training can be tackled effectively with proper solutions. Churn, referring to unpredictable changes…

AI Experience is rapidly growing its course and resources worldwide, demonstrating significant global expansion.

Practical Solutions for Efficient LLM Training Challenges in Large Language Model Training Large language models (LLMs) require significant computational resources and time for training, posing challenges for researchers and developers. Efficient training without compromising performance is…