Satlyt, founded by former Google and SpaceX Starlink engineer Rama Afullo, has raised an $8M seed round to build software that runs AI models on other companies’ satellites. We explain what its Gemma experiment in orbit showed, what flew on SpaceX’s Transporter-18, who invested, how it compares with Google’s Project Suncatcher and what comes next.
KAIST researchers stacked fast and slow ion-gated carbon nanotube transistors so a single device remembers both the latest movement and earlier ones. We explain the physics, the reservoir computing idea behind it, what the Advanced Materials paper shows and what it will take to reach a smartwatch.
NUS researchers built a molybdenum disulfide transistor that can act as a logic filter, a neuron or a synapse, and used it to block irrelevant visual data before a spiking neural network processes it. In simulations, cropping digits cut active hardware tiles by about 36% for a 0.3-point accuracy loss, and a traffic scene used about 59% less energy for vehicle recognition and 77% less for licence plates. We explain how it works, check the arithmetic and list what the press release leaves out.
On 18 September 2026 Nature Reviews Physics published a 165-reference Perspective arguing that self-organising memristive networks can learn physically, with no separation between the model and the hardware running it. Six researchers from Los Alamos, INRiM Turin, UCLA, Politecnico di Torino, the University of Canterbury and the University of Sydney set out what has been measured: 93.4% on MNIST learned online on a nanowire device, reservoir computing that trains only a readout layer, and criticality as a tuning target. This piece separates the measured results from the ambition, sets the energy argument against the IEA’s data-centre projections, and lists the four open problems — variability, drift, scaling and readout — that stand between a review paper and a component you can buy.
A paper accepted to ECCV 2026 by researchers at DGIST and KAIST identifies Skill Conflict, a phenomenon in which motion planning and motion prediction compete for the same weights inside the compact shared encoders that mobile robots run. Their fix, Disjoint Parameter Training with Sparse Merging, cut the JRDB collision rate from 0.0189 to 0.0091 on a 6.44 million parameter model. We read the paper, the supplementary tables and the ablations, including the three-way task split that made results worse.
5G multicast is the part of the mobile standard nobody markets, and on 9 September 2026 it got a rare turn in the spotlight. Waseda University put out a press release under the headline “Bridging the information gap: AI-driven quality control for 5G multicast broadcasting”, and the trade press picked it up the same day. […]
Jetson Orin Nano 2 is the module NVIDIA announced on 25 August 2026 to put physical AI inside delivery drones, inspection drones, home robots and factory vision systems. The headline everyone ran was the same one NVIDIA led with: twice the inference performance of the outgoing Jetson Orin Nano Super, in the same form factor, […]
Hugging Face and its Pollen Robotics subsidiary opened pre-orders on 27 August 2026 for Microduck, a 25 cm bipedal robot duck priced at $399 before taxes and shipping, with first deliveries targeted before Christmas 2026. The machine carries 15 motors, a wide-angle camera, an 8×8 time-of-flight LiDAR array, two IMUs and an articulated beak that works as a gripper, on a Rockchip RK3566 with 1 GB of RAM and 32 GB of storage running its neural policy at 50 Hz. Seven behaviours ship on the device — walking, rolling on skates, grasping, kicking, standing up after a fall, sitting and a generated audio identity — and every one was trained in MuJoCo with proximal policy optimisation and transferred to hardware. The control stack and the full training pipeline are published under Apache 2.0, but the hardware is not open and Pollen Robotics says it has no plans to change that. This breakdown covers the pack pricing, the complete published specification, the Open Duck Mini project the design grew out of, how it compares with the Reachy Mini line, and the battery, payload and compute ceilings that decide who should actually buy one.
On 21 August 2026 a University of Osaka and Universitas Diponegoro team published a navigation system in Device that lets a living cockroach read the ground it is walking on. A multilayer perceptron running on the insect’s own 2.3 gram backpack sorts terrain into flat, ascent, descent and hole at 92% offline accuracy, and the controller uses that call to decide whether to steer or to stay out of the way. The speed gain comes from suppressing commands during climbs rather than issuing better ones. This piece covers the hardware budget, the four terrain classes, the 20-insect swarm result, the companion internal-state paper, the welfare questions, and what a four-class model on a fractional-gram power budget teaches ordinary AI projects.
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