How AIRA2 breaks AI research bottlenecks
While we've seen remarkable progress in AI for coding and mathematics, creating agents that can navigate the messy, open-ended nature of real research (where things break for no obvious reason) has proven far more challenging.
5 lessons we can learn from Sora: Hype vs reality
After ChatGPT’s breakthrough, the race to define the next frontier of generative AI accelerated. One of the most talked-about innovations was OpenAI’s Sora, a text-to-video AI model that promised to transform digital content creation.
Fighting financial crime with hybrid AI
Here’s how consulting leader Valentin Marenich and his team built a hybrid AI system that combines machine learning, generative AI, and human oversight to deliver real-world results in a highly regulated environment.
AI swarms are coming: Here’s why it matters
If the last wave of AI felt like hiring a very smart intern, this one feels more like managing an entire organization that never sleeps (and occasionally argues with itself).
Top 20 tech leaders in New York
Artificial intelligence is transforming industries at breakneck speed, and New York is at the heart of this revolution.
When multi-agent AI systems fail, who takes the blame?
All AI systems can fail, but now we can trace exactly who’s responsible. Implicit Execution Tracing (IET) embeds invisible signatures in AI outputs, making multi-agent systems accountable, auditable, and tamper-proof.
The problem with AI explaining AI
What if AI could explain itself? As language models scale in size and complexity, that possibility has drawn growing excitement, and hope. But new research from MIT, Technion, and Northeastern University suggests the reality is much messier, and more concerning...
How AI in life sciences is reshaping healthcare
How can life sciences organizations overcome rising costs, regulatory complexity, and data silos to bring therapies to market faster, without compromising patient safety, and could AI be the key to doing so responsibly?
NVIDIA GTC 2026: The AI stack gets real
At NVIDIA’s GTC 2026, CEO Jensen Huang laid out a sweeping vision for AI’s next era. From chips and agent frameworks to robotics and real-time graphics, Huang’s keynote made one thing clear: The future of AI will be built on infrastructure, and NVIDIA intends to own it.
From engagement to fulfillment: How Agentic AI is rewriting product metrics
As AI agents begin executing tasks on users’ behalf, traditional engagement metrics are becoming less meaningful. In the age of agentic AI, product teams may need a new north star: measuring whether user intent was successfully fulfilled.