Search Results: DWARF

Researchers at Physical Intelligence have shown that a robot learning framework called Recap—combining demonstrations, coaching, and reinforcement from autonomous experience—can double throughput and halve failure rates on complex real‑world tasks. By conditioning a vision‑language‑action (VLA) policy on a learned value function, the system corrects compounding errors that plague imitation‑only approaches.

Superluminal’s sampling profiler was bottlenecked by libdwarf’s quadratic unwinding logic, taking over a second to extract 1.5 million unwind rows. A series of targeted optimizations—from linear iteration to disabling harmless‑error reporting and allocation tracking—cut extraction time to 83 ms, an 8.6× speed‑up and 89 ns per row.

TikTok is rolling out a feed‑customization toggle that lets users dial down AI‑generated videos, alongside invisible watermarking and C2PA credentials, as the platform grapples with a billion AI‑created clips. The move reflects a broader industry push to balance content moderation, user autonomy, and AI literacy.

Swift 6.3 delivers a major upgrade to Embedded Swift, the microcontroller-focused subset of Apple's language, with enhanced C interoperability, superior debugging tools, and a more robust linkage model. Developers targeting constrained environments now gain production-ready features like auto-generated MMIO interfaces and precise exception backtraces. These improvements signal Embedded Swift's maturation as a serious contender in the embedded systems space.

Iceland's pioneering use of geothermal power highlights a global resurgence in this renewable resource, now revitalized by fracking innovations and tech giants' investments. From powering data centers to heating urban districts, geothermal offers reliable, carbon-free energy that could bridge gaps in the clean energy transition. As startups like Fervo Energy scale up, the industry promises economic and environmental wins long overlooked.

After ten years and over $100 billion invested, Meta's metaverse vision remains mired in financial losses and sparse adoption. Despite rebranding and relentless VR hardware development, Reality Labs hemorrhages cash while user engagement stagnates, forcing strategic pivots toward AI.