摘要： Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset.
摘要： Last year, San Francisco-based research lab OpenAI released Codex, an AI model for translating natural language commands into app code. The model, which powers GitHub’s Copilot feature, was heralded at the time as one of the most powerful examples of machine programming, the category of tools that automates the development and maintenance of software. Not to be outdone, DeepMind — the AI lab backed by Google parent company Alphabet — claims to have improved upon Codex in key areas with AlphaCode, a system that can write “competition-level” code.
摘要： Blockchain and AI are two of the most disruptive technologies available today. As these technologies continue to develop, whole industries will be transformed. However, a lack of access to open source projects can hinder the development and use of both AI and blockchain.
摘要： Cooperatives are best understood as groups of people with identical or highly similar needs. These needs have traditionally included insurance, money lending and saving, achieving economies of scale, or marketing goods. With data being one of the most valuable commodities on earth (if not the most valuable), it is only natural to apply cooperative principles to the use of information.
摘要： The more the enterprise transitions from a mere digital organization to a fully intelligent one, the more data executives will come to realize that traditional monitoring and management of complex systems and processes is not enough.
摘要： Around one in four American adults are underbanked, meaning they are underserved by traditional finance, and rely on high-fee alternative financial systems.
摘要： Tech companies in the U.S. and the U.K. haven't done enough to prevent bias in artificial intelligence algorithms, according to a new survey from Data Robot. These same organizations are already feeling the impact of this problem as well in the form of lost customers and lost revenue.
摘要：
As enterprises continue to respond to the changing conditions created by the pandemic, IT will need to embrace new approaches and new technologies.
摘要：
Last year we started down the new road of uncovering enterprise analytics with machine learning. This year will see an acceleration. Here are some trends to watch.
摘要：
Businesses today have lots of data, modern data warehousing, AI (Artificial Intelligence) tools, and nice visualization platforms. Still, users across small and large enterprises globally are frustrated by their inability to quickly get answers to their questions from their data.
