AI server stocks are staging a comeback, but Super Micro faces an earnings report that must answer hard questions about shrinking margins, export control legal trouble, and whether a record order backlog can actually translate into profit.
GenRobot AI closed a $100M Series A+ to supply robot training data. Here is the founder lesson hiding inside the round. The post Robotics Startups Need Data: GenRobot AI Raises Series A+ appeared first on Under30CEO.
Current growth is driven mainly by the Ansys acquisition; AI/IP contributions are expected to be gradual, with royalties not materializing until 2028. SNPS faces capex risks from hyperscalers, elevated net debt ($7.23B), and limited impact from buybacks due to high share-based compensation.
Marvell is paying in stock for Lumentum's lasers. Lumentum shareholders will receive 4.5 Marvell shares per share owned, representing a 23.9% premium before talks leaked.
The companies expect the deal to close by the end of the year, subject to what onsemi described as customary closing conditions. Onsemi said it entered into an agreement to acquire Ferric as part of a broader push into power delivery for next-generation AI processors,
Apple has unveiled the revolutionary Spatial Reframing feature in the Photos app with iOS 27. This AI-powered tool allows users to change the capture angle and rotate photos with a single touch to make them look as if they were taken from completely different angles, while intelligently generating missing parts to make the photo look natural. Although it is still in its beta stage and shows some strange facial bugs, it promises a qualitative leap in the world of visual editing.
General-purpose mobile manipulation requires a combination of capable robot hardware, scalable demonstration collection, expressive whole-body control, and effective policy learning. Yet these components are often developed independently, creating mismatches that limit the capabilities of the complete system. We present Pixel, a co-designed full-stack system for learning general-purpose mobile manipulation. Pixel combines a low-cost wheeled humanoid with human-aligned kinematics and compliant grippers, multiple teleoperation and robot-free human data-collection interfaces, a unified whole-body controller, and a common policy learning pipeline across human and robot demonstrations. A hierarchical learning stack further enables language-conditioned visuomotor control and long-horizon task execution. We evaluate the system across hardware, data collection, and policy learning, and demonstrate mobile-manipulation behaviors requiring dexterity, active perception, navigation, and whole-body coordination. We hope that Pixel provides an integrated and extensible foundation for studying how robot hardware, data, control, and learning can be designed together for robot learning. More…
Idol turns one picture of an object into a 3D Gaussian splat. Give it a render, a generated image or a photo: it removes the background, frames the object and generates up to 1,048,576 Gaussians, written as a standard 3DGS .ply. It runs on consumer GPUs, using 7.2 GB of VRAM…
Demand for advanced chips is rising. The processes to build them are getting more complex. And the margin for error is shrinking. For engineers, understanding how a process change will behave, how a material will interact with a new step, how a defect maps back to a root cause…
Organizations deploying agentic artificial intelligence must determine more than whether a model is trustworthy; they must establish what to validate, control, and observe for a use case to deliver its intended outcome while meeting applicable obligations. This paper proposes…
Ensuring the correctness of LLM-generated code is a core challenge for modern software engineering. Benchmarks for agentic code generation check correctness with held-out test suites, which are inherently incomplete and increasingly susceptible to memorization. Formal…
Low-bit key-value (KV) cache quantization saves storage but can sharply degrade vision-language model (VLM) accuracy. We introduce HeadGuard, a composable head-protection method that augments a base KV-cache quantizer with a fixed high-precision mask. Image-sensitivity and…
Agent models are frequently evaluated one decision at a time, where the model predicts the next action based on the gold interaction history, which is scored against a reference. We investigate whether improvement under this protocol is predictive of improved autonomous…