Four travel and hospitality trends from HITEC 2026
Four travel and hospitality trends from HITEC 2026: a technical examination of AI scaling, data connectivity, and payments infrastructure reshaping direct bookings, guest experience, and operational efficiency.
Four travel and hospitality trends from HITEC 2026
Technical synthesis of HITEC 2026's four hospitality trends, emphasizing AI adoption and a solid data foundation as prerequisites for profitable direct bookings, frictionless payments, and seamless, invisible guest experiences through integrated tech and modern checkout.
Four travel and hospitality trends from HITEC 2026
AI-driven shifts in hospitality—from AI-powered guest discovery and operationalized data to payments-enabled direct bookings—highlight the need for a unified data foundation and frictionless, cross-market payment experiences.
Snorkel AIAgentic AI evaluation: Closing the gap with better benchmarks and data
Closing the agentic AI evaluation gap by aligning benchmarks with data across the three frontiers of environment complexity, autonomy horizon, and output grading, guided by open benchmarks and robust data pipelines.
Snorkel AIAgentic AI evaluation: Closing the gap with better benchmarks and data
Examines the evaluation gap in agentic AI, arguing that richer data, more realistic environments, and better benchmarks are essential to accurately measure agent performance beyond current saturation.
MIT AINew chip could help tiny robots traverse complex environments
MIT's Gleanmer chip combines a Gaussian-based 3D mapping algorithm with dedicated on-chip memory to enable real-time, collision-free navigation for tiny, power-constrained robots at milliwatt-scale.
MIT AIExploring the societal impacts of AI
An analytic look at AI's societal impact, covering labor and the future of work, democracy and election integrity, drawn from MIT's AI and Society Forum and cross-disciplinary initiatives.
MIT AINew chip could help tiny robots traverse complex environments
MIT's Gleanmer chip fuses a Gaussian-based, one-pass 3D mapping algorithm with on-chip memory and hardware acceleration to deliver real-time, ultra-low-power obstacle avoidance and path planning for tiny robots and wearables.
MIT AIExploring the societal impacts of AI
A technical synthesis of how AI reshapes labor, democracy, and governance, highlighting productivity gains, safety considerations, bias auditing, and interdisciplinary policy design showcased at MIT's AI and Society Forum.
MetaHow Meta Engineered Ultra-Narrow Batteries for AI Glasses
Meta's ultra-narrow steel-can batteries for AI glasses are dissected, revealing a shift from pouch cells to 7mm-wide, die-cut stacked electrodes with lower impedance and system-level optimizations that boost energy density and runtime in wearable form factors.
MetaHow Meta Engineered Ultra-Narrow Batteries for AI Glasses
A deep dive into Meta's ultra-narrow steel-can battery design for AI glasses, explaining die-cut stacked electrodes, lower impedance, and system-level power and firmware optimizations that squeeze all-day performance into a 7mm-wide form factor.
OpenAICodex-maxxing for long-running work
Explores how Codex can function as a persistent workspace to sustain long-running projects by preserving context, coordinating complex workflows, and breaking ambitious goals into verifiable steps, while balancing when to delegate execution to Codex versus when human oversight is most valuable.