Dean Mai

I specialize in identifying disruptive, core technologies and strategic technology trends in early-stage startups, research universities, government sponsored laboratories and commercial companies.

In my current role, I lead sourcing of strategic technology investment opportunities and managing Dyson’s diligence and outreach processes, specifically in the U.S., Israel and China.

I write here (sporadically) on the convergence of science and engineering, with broader adopted interests in novel disruptive technologies, cognitive psychology, human-computer interaction (HCI), philosophy, linguistics and artificial intelligence (AI).

All tagged machine learning

Dec 13
Dec 13 Specialization and Modularity in AI Architecture with Multi-Agent Systems

artificial intelligence, software

Unstructured data encompasses a wide array of information types that do not conform to predefined data models or organized in traditional relational databases. This includes text documents, emails, social media posts, images, audio files, videos, and sensor data. The inherent lack of structure makes this data difficult to process using conventional methods, yet it often contains valuable insights that can drive innovation, improve decision-making, and enhance customer experiences.

Nov 26
Nov 26 Adopting Function-as-a-Service (FaaS) for AI workflows

artificial intelligence, software

Unstructured data encompasses a wide array of information types that do not conform to predefined data models or organized in traditional relational databases. This includes text documents, emails, social media posts, images, audio files, videos, and sensor data. The inherent lack of structure makes this data difficult to process using conventional methods, yet it often contains valuable insights that can drive innovation, improve decision-making, and enhance customer experiences.

Jun 29
Jun 29 Architectural Paradigms for Scalable Unstructured Data Processing in Enterprise

artificial intelligence

Unstructured data encompasses a wide array of information types that do not conform to predefined data models or organized in traditional relational databases. This includes text documents, emails, social media posts, images, audio files, videos, and sensor data. The inherent lack of structure makes this data difficult to process using conventional methods, yet it often contains valuable insights that can drive innovation, improve decision-making, and enhance customer experiences.

Jan 11
Jan 11 Edge computing and the Internet of Things: Investing in the future of autonomy

artificial intelligence

One of the most ubiquitous technological advancements making its way into devices we use every single day is autonomy. Autonomous technology via the use of artificial intelligence (AI) and machine learning (ML) algorithms enables core functions without human interference. As the adoption of ML becomes more widespread, more businesses are using ML models to support mission-critical operational processes. This increasing reliance on ML has created a need for real-time capabilities to improve accuracy and reliability, as well as reduce the feedback loop.

Jan 2
Jan 2 Artificial neural networks and engineered interfaces

artificial intelligence, robotics

The need to express ourselves and communicate with others is fundamental to what it means to be human. Animal communication is typically non-syntactic, with signals which refer to whole situations. On the contrary, human language is syntactic, and signals consist of discrete components that have their own meaning.

Mar 4
Mar 4 Understanding the theory of embodied cognition

artificial intelligence

Embodied cognition is a research theory that is generally all about the vast difference of having an active body and being situated in a structured environment adept to the kind of tasks that the brain has to perform in order to support adaptive task success.