Insider Brief Just because humanoid robots don’t get blisters doesn’t mean they don’t need a good pair of work gloves. That’s the idea behind the collaboration between Persona AI and Under Armour to research protective materials for industrial humanoid robots. According to Houston-based humanoid robot developer Persona AI, the collaboration will focus on how materials […]
Why Sovereign AI Models MatterContinue reading on Medium »
Insider Brief Press Release –Aeva (Nasdaq: AEVA), a leader in next-generation sensing and perception systems, announced it has delivered initial C-sample units of its Aeva Atlas™ 4D LiDAR sensors to Daimler Truck North America and Torc Robotics, marking a major milestone in the companies’ collaboration for the future series production of SAE Level 4 autonomous Class 8 […]
I spent my early career working without dedicated designers. I was the one picking colors, spacing components, and deciding how things…Continue reading on Medium »
Insider Brief: Neura Robotics and Amazon Web Services are partnering to develop AI-enabled robots that combine Neura’s platform with AWS’s cloud and AI infrastructure. According to the companies, the partnership looks to address a key problem in robotics development — limited real-world training data — by linking simulation, cloud infrastructure and operational environments to support […]
Insider Brief PRESS RELEASE —Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, announced that the company is collaborating with Texas Instruments (TI) to simplify sensor integration and to scale real-time edge AI systems. The combination of TI’s sensing technologies and the Lattice Holoscan Sensor Bridge solution, based on Lattice low power FPGA technology, will provide developers […]
Consensus: Structured Multi-Party Dialogue Between AI Models or Humans and ModelsConsensus — an open source project allowing meaningful and productive moderated discussion among entities capable of reasoning. Image created with “nano banana” through pr…
System prompts matter far more than most assume. A given model sets the theoretical ceiling of an agent’s performance, but the system prompt determines whether this peak is reached.