Thrilled to share that the work of .Machine Learning X Doing and .Development Economics X has been selected for the TEDxMississauga stage! The talk will be presented under the theme "Ripple Effects" (June 2026). I look forward to sharing this idea worth spreading. 🌍#TEDxMississauga #ThoughtLeadership #AI

Thrilled to share that Machine Learning X Doing will be featured at #TEDxMississauga 2026 under the theme “Ripple Effects.” Exploring how AI amplifies human potential, and how ideas ripple through innovation. 🤖✨ #AI #MachineLearning #Innovation

Keep learning. Keep doing.

Honored to see .Machine Learning X Doing on the #TEDx stage soon. Intelligence, both human and artificial, creates ripple effects that redefine possibilities.

On your marks. Get set. Know why you will win. In the race for market leadership, correlation is a starting block to nowhere. Our causality AI delivers the definitive drivers of economic change. Get ready to win. #CausalInference #EconomicAdvantage #StrategicEdge #MLXD

You’re carrying around in your head a model of how the world works right now. Large world models also create an internal representation, using physics, causality, and spatial relationships to reason about events & predict consequences from text, images and video for robotics.

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It will be interesting to see what impact the AI research era may have on this phenomenon.

Junior roles are increasingly easily substituted with AI. Senior-level expertise is complementary with AI for ensuring technical or domain-specific accuracy.

Next-level AI.

Next-level AI for impact.

Well, to take it a bit broader than just robotics, the mistake most people made and make is to think that there even needs to be a line between basic science or prototypes and impact or deployment at scale at all nowadays. They're complements not substitutes. It's a structured

Modern innovation systems increasingly treat R&D and large-scale deployment as interconnected parts of a feedback loop, rather than sequential stages where one "hands off" to the other. For instance, in robotics and advanced manufacturing, breakthroughs in AI or materials

Ubiquitous transportation is critical.

A new era for the consulting industry.

A tale of two AIs: theory and evidence? The US AI industry pursues AI almost as a quest for divine enlightenment. It's seeking “the singularity”, or the theoretical moment when machines completely eclipse human capabilities. Its AI competition is motivated by a fear that its

Scalable Causal Discovery from Recursive Nonlinear Data via Truncated Basis Function Scores and Tests. arxiv.org/abs/2510.04276

Building the future.