Releases

Cohere provided a browser playground for testing its hosted language models and generation settings.

Cohere's initial commercial platform included text classification for enterprise NLP workflows.

Index Ventures led Cohere's $40 million Series A, with Section 32, Radical Ventures and AI researchers participating.

Cohere made its hosted language-model platform available to businesses alongside its Series A financing.

Hugging Face launched Optimum to optimize Transformers models for specialized hardware and inference runtimes.

NVIDIA made its AI Enterprise software suite generally available.

The Telum announcement established a new generation of IBM infrastructure with integrated AI acceleration.

IBM unveiled Telum with on-chip AI acceleration for high-volume transactional inference.

Baidu said its second-generation Kunlun AI chip had entered mass production.

OpenAI introduced Codex, a descendant of GPT-3 that translates natural language into code.

Scale established a dedicated St. Louis operations center to develop skilled U.S. data and evaluation workforces for government programs.

DeepMind and EMBL-EBI launch a freely accessible database of AlphaFold protein structure predictions.

DeepMind publishes AlphaFold 2's methodology and releases source code, expanding access to high-accuracy protein prediction.

Baidu published its unified framework for knowledge-enhanced language understanding and generation.

AWS founder Andy Jassy succeeded Jeff Bezos as Amazon's chief executive officer.

Shield AI acquired Martin UAV, bringing the V-BAT vertical-takeoff aircraft into its portfolio.

GitHub launches Copilot in technical preview as an AI pair programmer that suggests code inside the editor.

NVIDIA made Fleet Command generally available for centrally deploying and managing edge AI applications.

NVIDIA launched a hosted enterprise program offering immediate access to its end-to-end AI infrastructure and software stack.

Hugging Face launched AutoTrain to automate model training and fine-tuning from user-provided datasets.

Anthropic raised $124 million to pursue computationally intensive research into reliable, interpretable, and steerable AI systems.

Databricks introduced a managed Feature Store integrated with Delta Lake, MLflow and model serving.

Databricks introduced Unity Catalog as a unified governance layer for data and AI assets across clouds.

Databricks introduced AutoML to automatically train models while generating editable notebooks.

Facebook AI introduced unsupervised speech recognition using unpaired speech audio and text.

Google announces fourth-generation TPU pods for large-scale machine-learning training.

Google Cloud launches Vertex AI as a unified platform for building, deploying and operating ML models.

Google introduces LaMDA as a conversational language model designed for open-ended dialogue.

Hugging Face introduced a paid individual plan with expanded private, storage, and compute capabilities on the Hub.

Hugging Face helped launch the BigScience open research workshop, coordinating an international collaboration to train a large multilingual language model.

Hugging Face launched Accelerate to let PyTorch code run across distributed hardware with minimal changes.

Scale raised $325 million in Series E funding co-led by Dragoneer, Greenoaks, and Tiger Global at a reported $7.3 billion valuation.

Microsoft agrees to acquire Nuance Communications for $19.7 billion including net debt, expanding its healthcare and conversational-AI capabilities.

NVIDIA introduced Morpheus for real-time AI-assisted threat detection using GPUs and BlueField DPUs.

NVIDIA introduced Base Command to provision, schedule and operate shared DGX SuperPOD AI infrastructure.

Baidu's Class A ordinary shares began trading on the Hong Kong Stock Exchange under 9888.

Hugging Face raised $40 million in Series B funding led by Addition to grow its open-source machine-learning ecosystem and hosted platform.

NVIDIA announced an enterprise software suite for virtualized AI workloads on VMware vSphere.

Replit announced a $20 million Series A led by A.Capital.

Databricks and Google Cloud launched Databricks on Google Cloud, completing availability across the three major clouds.

Databricks raised $1 billion led by Franklin Templeton at a $28 billion post-money valuation.

OpenAI introduced CLIP, a neural network trained on image-text pairs for transferable visual recognition.

OpenAI introduced DALL-E, a model that generates images from text descriptions.

David Holz founded Midjourney as an independent research laboratory focused on new mediums of thought and visual imagination.

Erik Bernhardsson and Akshat Bubna founded Modal to build a developer-friendly serverless cloud for compute-intensive workloads.

Anthropic was founded at the beginning of 2021 as an AI safety and research company led by Dario and Daniela Amodei.

DeepMind publishes MuZero, which plans using a learned model without being told the environment's underlying rules.

NVIDIA opened the Omniverse collaboration and simulation platform to beta users.

AWS introduced a HIPAA-eligible health data lake using FHIR and machine learning.

AWS introduced tools for bias detection and model explainability.

Scale acquired real-time video-understanding startup Helia AI and brought its team and infrastructure expertise into the Nucleus platform.

Scale raised $155 million in a Series D led by Tiger Global at a post-money valuation above $3.5 billion.

AWS introduced machine-learning-based anomaly detection for business and operational metrics.

AWS introduced an end-to-end condition-monitoring system using sensors and machine learning.

AWS introduced predictive maintenance from industrial sensor data.

AWS introduced a computer-vision service for visual defect and anomaly detection.

AWS introduced an ML-powered service for detecting abnormal operational behavior and recommending remediation.

AWS introduced pretrained models and solution templates to accelerate machine-learning deployment.

AWS announced its first custom chip purpose-built for high-performance machine-learning training.

AlphaFold 2 demonstrates accuracy competitive with experimental structures at CASP14, marking a major protein-folding breakthrough.

Transformers v4 began its release cycle with broad framework and architecture support and a standardized model API.

NVIDIA introduced a deskside AI system with four A100 GPUs for workgroups.

NVIDIA doubled A100 accelerator memory to 80GB using HBM2e.

Facebook AI released M2M-100, a multilingual machine-translation model translating directly between 100 languages.

Baidu opened Apollo Go autonomous ride-hailing to public users in Beijing.

NVIDIA introduced Maxine, a cloud-native suite of GPU-accelerated AI video-conferencing and streaming software.

Palantir began trading on the New York Stock Exchange through a direct listing, marking its transition to a public company.

Scale released the core Nucleus workspace for dataset visualization, search, curation, collaboration, and model-error analysis.

Scale launched Nucleus as a dataset-management and model-debugging workspace for visualizing, curating, searching, and collaborating on machine-learning data.

Scale introduced a self-serve, pay-as-you-go product for receiving production-quality labels and instruction feedback in as little as one hour.

Microsoft spins Xiaoice into an independent company while retaining an investment interest.

Scale launched a mapping product for computer-vision and autonomous path-planning workflows.

Hugging Face began its hosted inference platform with a serverless API for models on the Hub, later expanding into dedicated endpoints and provider routing.

Hugging Face introduced a hosted API for running models from the Hub without managing serving infrastructure.

Databricks acquired open-source visualization company Redash to expand SQL analytics and collaboration.

Facebook AI introduced wav2vec 2.0 for self-supervised speech learning with limited labeled data.

OpenAI launched a general-purpose API for accessing its language models.

Microsoft Research introduces DeBERTa, improving Transformer language models with disentangled attention and enhanced mask decoding.

OpenAI published GPT-3, demonstrating few-shot learning at 175 billion parameters.

Hugging Face launched hosted dataset repositories alongside its Datasets library, creating a shared catalog for reusable machine-learning data.

Hugging Face released a unified open-source library and catalog for loading, processing, streaming, and sharing datasets.

NVIDIA began shipping DGX A100, an integrated 5-petaflop AI system with eight A100 GPUs.

NVIDIA launched the A100 Tensor Core GPU, its first Ampere data-center accelerator for training and inference.

Hugging Face made model repositories a central Hub product for versioning, documenting, discovering, and reusing pretrained models.

Hugging Face expanded from an NLP library into a Git-based collaboration platform for sharing models and machine-learning artifacts.

OpenAI released Jukebox, a neural network that generated music including rudimentary singing as raw audio.

AWS and Facebook jointly released TorchServe, an open-source model-serving library for PyTorch.

Hugging Face introduced its high-performance Rust-backed Tokenizers library for production-scale text preprocessing.

Microsoft open-sources DeepSpeed with the ZeRO optimizer to reduce the compute and memory cost of large-model training.

Oracle launched a managed collaborative environment for building, training and deploying machine-learning models.

Microsoft introduces Turing-NLG, a 17-billion-parameter generative language model and, at the time, the largest published language model.

Databricks articulated the lakehouse architecture, combining data-lake openness with data-warehouse management and performance.

Foundry ML capabilities became available for operational machine learning.

Model Studio became available for developing and operationalizing machine-learning models.

Foundry added managed coding environments for data science and software work.

Baidu released its open NLP development library for PaddlePaddle.

CoreWeave established a managed, multi-tenant Kubernetes cloud running directly on bare metal for GPU-accelerated machine-learning and inference workloads.

Scale began supporting U.S. defense and national-security AI programs, extending its data infrastructure into government missions.

Hugging Face raised $15 million in a Series A led by Lux Capital to expand its open-source natural-language-processing platform.

AWS launched automated model building with full visibility into generated models and notebooks.