MarkTechPost (1 week ago)
Learn how NVIDIA IsaacTeleop turns XR hand tracking and motion controller input into robot commands using a pure Python retargeting engine and NumPy.
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Minisforum’s $7,399 MS-S1 MAX-P495 leads with 16 cores and 55 TOPS, but its 192GB of memory is the real story.
The Apple Home Collection is a lineup of smart-home devices built in collaboration with LG and Schneider Electric, including several cameras with full iCloud+ integration, as well as thermostats, a doorbell, and a door lock.
When you spend a lot on on a TV, you expect it to last a while. But that support period varies wildly by manufacturer.
Crystal Lake, Tip Toe, and Carrie are just a few of the shows you should be watching right now.
Industrial Next helps manufacturers automate complex, delicate tasks that have traditionally required human labor.
Dell’s expensive workstation combines strong AI results with high bandwidth, but RTX Spark’s larger shared memory may accommodate models Dell cannot load.
Meta released Muse Wonder and Muse Wonder Full, 1M-context agent models. Muse Wonder costs $4/$20 per million tokens on Meta Model API. Wonder Full, on Muse Code plans, leads DeepSWE and SWE-Marathon.
In this comprehensive coding tutorial, we explore Meta’s Rebalancer assignment solver using its C++ core and Python bindings.
Z.ai’s GLM-Legal is a legal AI model built on GLM-5.3-Flash. It scores 19.2% all-pass on Harvey’s Legal Agent Benchmark, nearly 3x its base, at $0.15 per test. Access is by application.
Alibaba’s Qwen team has introduced QwenGyre, an elastic reinforcement learning RL framework for extreme-long-horizon agent training. QwenGyre is an online reinforcement learning system from Alibaba that trains coding agents through unmodified, black-box harnesses.
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