3,135 articles
BERTopic
BERTopic is an open-source topic modeling technique introduced by Maarten Grootendorst in 2022 and distributed as a Python library, clustering transformer embeddings into topics without a predefined topic count.
BERTScore
BERTScore is an automatic evaluation metric for text generation that matches tokens through cosine similarities of contextual embeddings from a pretrained language model, proposed in 2019.
Berzelius (supercomputer)
Berzelius is Sweden's national supercomputer for artificial intelligence, an NVIDIA DGX system at Linköping University inaugurated in 2021, where the Swedish language model GPT-SW3 was trained.
Best-first search
Best-first search is a family of graph search algorithms that uses an evaluation function to pick the next node to expand, with variants including greedy best-first search and A.
Best, worst and average case
Best, worst, and average case characterize how much work an algorithm does on inputs of size n, ranging from minimum to maximum to expected work.
Bias–variance tradeoff
The bias–variance tradeoff, also known as the bias–variance dilemma, is a machine learning principle stating that reducing a model's bias tends to increase its variance.
Bibcode
A bibcode, also called a bibliographic code, is a 19-character identifier for publications in astronomy, devised by the SIMBAD and NED teams in the late 1980s.
Biclustering
Biclustering is a clustering method that groups rows and columns of a data matrix at the same time, finding submatrices where subsets of samples and features show coherent patterns.
Bicubic interpolation
Bicubic interpolation, also known as bicubic resampling or bicubic filtering, is a two-dimensional interpolation method using cubic interpolation in each coordinate, standard in image processing.
Bidirectional gated recurrent unit network
A bidirectional gated recurrent unit network (BiGRU) is a recurrent neural network that runs two GRU layers in opposite directions, combining past and future context for tagging and encoding sequences.
Bidirectional LSTM
A bidirectional LSTM (BiLSTM) is a recurrent neural network that runs two LSTM layers over the same sequence in opposite directions, introduced by Graves and Schmidhuber in 2005.
Bidirectional recurrent neural network
A bidirectional recurrent neural network (BRNN) is a neural network architecture that processes sequence data in both forward and reverse directions, introduced by Schuster and Paliwal in 1997.
Big data
Big data describes datasets, defined by volume, velocity, variety, and variability, that overwhelm traditional approaches and require scalable architectures, as defined by NIST and processed with tools like MapReduce and Hadoop.
Big Data: Principles and Best Practices of Scalable Realtime Data Systems
Big Data: Principles and Best Practices of Scalable Realtime Data Systems is Nathan Marz and James Warren's 2015 Manning book that formalizes the Lambda Architecture of batch, speed, and serving layers using Hadoop, Storm, and Cassandra.
BigBird (language model)
BigBird is a transformer-based language model introduced by Google Research in 2020 that processes sequences up to 4,096 tokens, versus 512 for BERT, using sparse attention.
Bigeye (company)
Bigeye (Toro Data Labs, Inc.) is a San Francisco data observability company founded in 2019 by ex-Uber engineers Kyle Kirwan and Egor Gryaznov; $66 million raised, CEO Eleanor Treharne-Jones since 2024, now also selling AI Trust governance products.
BigID
BigID, founded in 2016 by Dimitri Sirota and Nimrod Vax, is a New York-based data intelligence platform for sensitive data discovery, classification, DSPM, privacy automation, and AI governance.
BigLake
BigLake, renamed Google Cloud Lakehouse on April 20, 2026, is Google's storage engine and metastore layer unifying data lakes and warehouses, providing governed BigQuery tables over Iceberg, Parquet, and other open formats across GCS, S3, and ADLS Gen 2.
BigQuery
BigQuery is a fully managed, serverless data warehouse and analytics platform from Google Cloud, launched in 2012, that lets users analyze data with SQL without provisioning infrastructure.
Bigtable
Bigtable is a wide-column NoSQL storage system developed at Google from 2004, described in a 2006 paper, and offered as Cloud Bigtable on Google Cloud since 2015.
Bilateral filter
The bilateral filter is an edge-preserving image-smoothing operator that replaces each pixel with a weighted average of nearby pixels, reducing noise while keeping edges sharp, unlike Gaussian blur.
Bilateral filtering
Bilateral filtering is an edge-preserving image smoothing method that replaces each pixel with a weighted average of neighbors, weighting by spatial distance and intensity difference so edges stay sharp.
BiLSTM-CRF model
The BiLSTM-CRF model is a neural sequence labeling method in natural language processing that pairs a bidirectional LSTM encoder with a conditional random field layer for tagging.
Bin packing problem
The bin packing problem is a combinatorial optimization problem asking for the fewest unit-capacity bins needed to hold items of given sizes; it is NP-complete.
Binarized neural network
A binarized neural network (BNN) is a neural network whose weights and activations are constrained to two values, replacing multiplications with bitwise logic for efficient inference.
Binary heap
A binary heap, also called a binary min heap, is a complete binary tree kept in an array so the smallest or largest element always sits at the root, making it the standard priority queue.
Binary neural network
A binary neural network (BNN) is a neural network whose weights and activations are constrained to a single bit, replacing floating-point arithmetic with bit-wise operations.
Binary particle swarm optimization
Binary particle swarm optimization (BPSO) is a discrete variant of particle swarm optimization in which particles hold binary positions, applied to feature selection and combinatorial problems.
Binary search algorithm
Binary search, also known as the half-interval search or binary chop, is an algorithm that finds a target value in a sorted array in O(log n) time.
Binary search tree
A binary search tree (BST) is a node-based data structure whose ordering lets a search discard half the tree at each step, like binary search in a sorted array.