John Haugeland
John Haugeland was an influential American philosopher known for his work in artificial intelligence, philosophy of mind, and phenomenology.
Technology & Innovation
AI accelerator
An AI accelerator is a specialized hardware device designed to improve the efficiency and speed of artificial intelligence computations, particularly those related to machine learning and deep learning tasks. These accelerators optimize performance for AI workloads beyond what general-purpose CPUs can achieve.
Neural process (meta-learning)
Neural processes are a class of meta-learning models that combine neural networks with stochastic processes to enable fast adaptation to new tasks. They provide a flexible and scalable approach for learning functions from limited data by modeling distributions over functions.
Cosformer (cosine attention)
Cosformer is a variant of transformer architecture that employs cosine-based attention mechanisms to improve computational efficiency and scalability. It modifies the traditional self-attention by incorporating cosine similarity, aiming to reduce complexity while maintaining performance.
Empowerment (machine learning)
Empowerment in machine learning is an information-theoretic measure used to quantify the agent’s potential influence over its environment. It is applied primarily in reinforcement learning as an intrinsic motivation to encourage exploration and autonomous behavior.
Mamba-2 (state space with selective scan)
Mamba-2 (state space with selective scan) is a computational framework or methodology designed to optimize state space analysis by incorporating selective scanning techniques. It aims to improve efficiency in exploring large or complex state spaces by focusing on relevant subsets.
XLNet
XLNet is a generalized autoregressive pretraining method for natural language processing that integrates the advantages of Transformer-XL and permutation language modeling, improving performance on various NLP tasks.
Drill and Tap Set Guide: Sizes Uses and Buying Tips
Drilling and tapping are the artisans of the mechanical world, bringing together the elements of material and craftsmanship to create sturdy connections that withstand time. Just as a composer orchestrates a symphony, the craftsman wields the drill and tap set to harmonise functionality and design. Understanding the multifaceted realm of drill and tap sizes ensures […]
Arthur Samuel
Arthur Samuel was an American pioneer in computer science known for his work in artificial intelligence and machine learning. He is particularly noted for developing one of the earliest self-learning programs, which played a significant role in the advancement of machine learning techniques.
QLoRA (quantized LoRA)
QLoRA (quantized LoRA) is a machine learning technique that combines quantization and Low-Rank Adaptation to efficiently fine-tune large language models with reduced computational resources while maintaining performance.