'We're releasing an API for accessing new AI models developed by OpenAI. Unlike most AI systems which are designed for one use-case, the API today provides a general-purpose "text in, text out" interface, allowing users to try it on virtually any English language task. You can now request access in order to integrate the API into your product, develop an entirely new application, or help us explore the strengths and limits of this technology.'

"AI Powered Research Career"

"AI built for your business. The smarter interactions artificial intelligence makes possible are great for consumers and drive big wins for enterprise."

"People + AI Research (PAIR) is a multidisciplinary team at Google that explores the human side of AI by doing fundamental research, building tools, creating design frameworks, and working with diverse communities."

"Making sense of artificial intelligence This A-Z guide offers a series of simple, bite-sized explainers to help anyone understand what AI is, how it works and how it's changing the world around us."

"A research effort from Google AI that aims to build quantum processors and develop novel quantum algorithms to dramatically accelerate computational tasks for machine learning."

'Artificial intelligence could be one of humanity's most useful inventions. We research and build safe AI systems that learn how to solve problems and advance scientific discovery for all.'

"TensorFlow Quantum is a library for hybrid quantum-classical machine learning. # A hybrid quantum-classical model. model = tf.keras.Sequential([     # Quantum circuit data comes in inside of tensors.     tf.keras.Input(shape=(), dtype=tf.dtypes.string),     # Parametrized Quantum Circuit (PQC) provides output     # data from the input circuits run on a quantum computer.   TensorFlow Quantum (TFQ) is a quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models. Research in quantum algorithms and applications can leverage Google's quantum computing frameworks, all from within TensorFlow."

"Our platform is your Machine Learning Co-pilot, helping drive your Supply Chain and your Pricing decisions. Every replenishment and pricing decision is focused on increasing your revenue, driving profit, and reducing your workload. Solutions Price Optimisation AI Platform Price Optimisation AI to drive up margins and revenue. Daily Pricing Decisions. Learn more Demand Forecasting AI for intelligent, frequent forecasts. Demand Forecasting AI Platform Learn more Supply Chain Co-Pilot to maximise stock availability, cashflow and revenue. Supply-Chain Co-pilot Platform Learn more   Our Clients Case Studies Major US and Canadian  Wholesale distributor Reduction in stock-on-hand by 38% through demand forecasting and auto-replenishment.  Read more Lead the market, don't follow This is the platform for fast growing, innovative businesses.

"An open source machine learning framework that accelerates the path from research prototyping to production deployment."

"We've created a bot which beats the world's top professionals at 1v1 matches of Dota 2 under standard tournament rules. The bot learned the game from scratch by self-play, and does not use imitation learning or tree search. This is a step towards building AI systems which accomplish well-defined goals in messy, complicated situations involving real humans."

'Welcome to the ml5 project! Developing ml5 is not just about developing machine learning software, it is about making machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.'

The DARPA Agent Markup Language (DAML) Program officially began in August 2000. The goal of the DAML effort is to develop a language and tools to facilitate the concept of the Semantic Web. Michael Pagels is the DARPA Program Manager for DAML. The DAML program will end in early 2006.

"With Watson, you can bring AI tools and apps to your data wherever it resides - whether it's on IBM Cloud, AWS, Azure, Google, or your own private cloud platform."

"Artificial intelligence promises to be the most disruptive class of technology over the next 10 years, but many enterprises are not equipped for it. Companies know they could be using AI to gain more insights from their data, but 70% of enterprises* admit their current AI capabilities are limited or non-existent. This is an even bigger problem in enterprises which don't have access to an in-house team of data scientists."

"Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models."

"ImmuniWeb® AI Platform provides a full spectrum of Application Security Testing, Attack Surface Management and continuous security monitoring solutions tailored for DevSecOps."

'LabGenius is the first biopharmaceutical company developing next generation protein therapeutics using a machine learning-driven evolution engine (EVA™️).'

'From Copernicus Big Data to Extreme Earth Analytics Rapidly increasing volumes of diverse data from distributed sources create challenges for extracting valuable knowledge and commercial value from data. This calls for novel methods, approaches and engineering paradigms in analytics and data management. As the success will require not only efficient data processing and management, but also sufficient computing capacity and connectivity, a coordinated action with all related areas is necessary and will contribute to a European leadership in these areas.'

"Google's researchers have achieved a big breakthrough in quantum computing known as quantum supremacy. "