Releases

The U.S. government awarded Scale a contract vehicle worth up to $249 million to make its AI data and development capabilities available across federal agencies.

Meta announced the AI Research SuperCluster, a large AI supercomputer designed to train advanced models.

IBM agreed to sell healthcare data and analytics assets from Watson Health to Francisco Partners.

Winston Weinberg and Gabriel Pereyra founded Harvey to build domain-specific generative AI for legal and professional services.

ElevenLabs' first financing valued the company at $9 million.

Mati Staniszewski and Piotr Dabkowski founded ElevenLabs to build human-like synthetic speech.

Michael Truell, Sualeh Asif, Arvid Lunnemark, and Aman Sanger founded Anysphere to build an AI-native programming environment.

Palantir introduced FedStart to help software vendors reach government customers through accredited infrastructure and deployment support.

Cohere began offering enterprise model deployment within customer-controlled cloud and on-premises environments.

Cohere introduced its Embed model family for semantic representation and retrieval.

Cohere launched a free educational curriculum covering large language models, embeddings and semantic search.

Cohere established its open-science research initiative, now known as Cohere Labs, to support collaborative machine-learning research.

Hugging Face acquired Gradio, bringing its open-source interface framework and team into the company while keeping the project open source.

Palantir unveiled MetaConstellation, a satellite-tasking and geospatial intelligence capability that coordinates space-based data with AI.

AWS introduced a no-code visual interface for generating machine-learning predictions.

Microsoft releases DeBERTa V3 with replaced-token detection and gradient-disentangled embedding sharing.

Oracle released managed time-series forecasting for business and operational signals.

Oracle released managed multivariate time-series anomaly detection.

Oracle released managed image analysis, object detection and custom vision models.

Oracle released a managed natural-language processing API for classification, entity extraction and sentiment.

Oracle released managed automatic speech recognition and transcription.

Oracle introduced a portfolio of managed AI APIs spanning language, speech, vision, anomaly detection and forecasting.

CoreWeave raised $50 million from Magnetar Capital to scale its specialized NVIDIA GPU cloud infrastructure.

Scale acquired Berlin-based SiaSearch and folded its petabyte-scale sensor-data search technology and team into Scale Nucleus.

Microsoft introduces Azure OpenAI Service, providing managed access to OpenAI models through Azure's enterprise cloud controls.

Facebook renamed the parent company Meta Platforms to reflect its long-term focus on building the metaverse.

Facebook AI and university partners introduced Ego4D, a large egocentric video dataset and benchmark suite.

Scale moved Rapid into general availability for fast labeling experiments without data minimums.

Hugging Face launched Spaces with native Gradio support, allowing community members to host interactive machine-learning demos on the Hub.

Databricks closed a $1.6 billion Series H with participation from AWS, CapitalG and Microsoft at a $38 billion post-money valuation.

Cohere's hosted API made semantic text representations available to enterprise developers.

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.

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.

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.