MindsDB automates and integrates top machine learning frameworks (including GPT-4) into the data stack as "AI Tables" to streamline the integration of AI into applications, making it accessible to developers of all skill levels. "AI tables" allow you to get predictions via SQL queries and continuously learn from your data. You can try MindsDB using our demo environment with sample data for most popular use cases. The prefered way is to use MindsDB Cloud free demo instance or use a dedicated instance. Follow the quickstart guide with sample data to get on-boarded as fast as possible.

Spice AI, a Seattle-based startup that aims to make it significantly easier for developers to leverage AI in their applications, today announced that it has raised a $1 million seed funding round. That's obviously not a huge round, but the investors will likely make you perk up a bit: Madrona Venture Group, Picus Capital, TA Ventures and angels like GitHub CEO Nat Friedman and Microsoft Azure CTO Mark Russinovich. And the team behind the platform also has some serious credentials, with CEO Luke Kim spending a decade at Microsoft, where he co-created the Incubations team at Azure and led the engineering work to create Dapr, while CTO Phillip LeBlanc worked on Azure Active Directory, Visual Studio App Center and GitHub actions. The team argues that even today, building AI into an application is still far too hard. During his time at Microsoft, Kim started working on a personal project that focused on neurofeedback.

Federighi announced new APIs that help coders building apps for Apple devices do things like recognize faces or animals in photos, or parse the meaning of text. The reasoning goes that if you can make your phones, operating system, or cloud the best place to build smart new software that leverages AI, more users and revenue will follow. For example, Federighi boasted that Apple's new tools help developers run machine learning on data without it having to leave a person's device, giving performance and privacy benefits. A company that needs to run image recognition inside apps on both Apple and Android devices might prefer to use Google's cloud machine learning APIs instead, for example.

Federighi announced new APIs that help coders building apps for Apple devices do things like recognize faces or animals in photos, or parse the meaning of text. The reasoning goes that if you can make your phones, operating system, or cloud the best place to build smart new software that leverages AI, more users and revenue will follow. For example, Federighi boasted that Apple's new tools help developers run machine learning on data without it having to leave a person's device, giving performance and privacy benefits. A company that needs to run image recognition inside apps on both Apple and Android devices might prefer to use Google's cloud machine learning APIs instead, for example.

Microsoft is offering new tools to help developers build interactive bots that understand natural language, the company announced at its Build conference today. There are two key components, which are available in preview and are both part of the larger Cortana Intelligence Suite. "The first, Microsoft Cognitive Services, is a collection of intelligence APIs that allows systems to see, hear, speak, understand and interpret our needs using natural methods of communication," Microsoft said. "The second, the Microsoft Bot Framework, can be used by developers--programming in any language--to build intelligent bots that enable customers to chat using natural language on a wide variety of platforms including text/SMS, Office 365, Skype, Slack, the Web and more." Though Microsoft's own "Tay" bot became a public relations nightmare, the company demonstrated how artificial intelligence applications built with Microsoft technology can be useful in the real world.