What is an algorithm, why do AI answers vary, and how do human training decisions and permissions shape dangerous behavior? A primary-source engineering explanation.
Imec is developing 300-mm GaN-on-silicon power devices with industry partners to improve manufacturing economics and enable advanced devices.
Navitas says the U.S. Army selected it for ALATTIS, a program to develop domestic manufacturing of 10-kV SiC IGBTs and PiN diodes.
Renesas' 650-V bidirectional GaN switch could replace paired FETs and simplify solar, battery, EV and AI power converters.
GaN Isn’t Replacing Silicon: ST Is Building AI Power Systems With Si, SiC and GaN STMicroelectronics is developing next-generation AI data-center infrastructure around a combination of silicon, silicon carbide and gallium nitride rather than betting on a single semiconductor technology.…
Qorvo Pushes X-Band GaN Power Density Beyond 400% in DARPA Program Qorvo has achieved more than a 400% increase in X-band GaN transistor RF power density through research funded by DARPA’s THREADS program. Rather than simply increasing transistor output, the…
Artificial intelligence is becoming more than a productivity tool. Increasingly, people are turning to AI systems for advice about money, careers, technology, relationships, health, and other personal problems. New research highlighted by MIT Sloan School of Management suggests there is…
Stanford and SLAC researchers developed a highly precise method for measuring how electrical energy is lost as heat inside a model electronic system. By changing the way voltage was applied, the researchers reduced wasted energy by more than 60 percent…
Are Chatbots Actually Correct? The Complicated Question of AI Accuracy and AI-Generated Information Artificial intelligence chatbots have quickly moved from technological novelty to everyday adviser. People ask them about finances, careers, technology, relationships, health concerns, business decisions and countless other…
Explainable AI (XAI) and the Future of Generative AI Bridging the Black Box Gap: Explainable AI (XAI) translates complex, opaque neural network operations into human-understandable concepts, ensuring models act transparently rather than as inscrutable “black boxes.” Transforming Generative AI Trust:…
Explainable AI Is the Blueprint: Why Autonomous Vehicles and AGVs Demand Guided Architecture over Black-Box Behaviors Researchers from MIT and Motional have introduced Concept-Wrapper Network (CW-Net), an explainable AI system designed to bridge the dangerous gap between autonomous machine planning…
The modern technological landscape is defined by an unprecedented paradox: the same digital architecture promising to cure diseases, optimize global energy grids, and revolutionize scientific discovery is also hurtling toward the threshold of uncontrolled, self-directed superintelligence. For years, the organizations…
Researchers at Stanford University published a process in Science that addresses the main bottlenecks of clean hydrogen production via methane pyrolysis—a method that breaks methane into hydrogen gas and solid carbon rather than emitting $\text{CO}_2$ gas. The Core Innovation (Autothermal…
Ambarella Engages Capgemini to Help Accelerate Enterprise Adoption of Edge and Physical AI September 3, 2026 at 4:05 PM EDT Capgemini to provide engineering, integration, and industry expertise to support Ambarella’s next phase of growth SANTA CLARA, Calif. and NEW…
The following article explores a groundbreaking discovery by MIT physicists who have uncovered a multifaceted family of magnetic field-boosted superconductors within a naturally occurring crystalline carbon structure. This breakthrough, documented at the Massachusetts Institute of Technology in June 2026, challenges…
In a profound shift away from legacy rule-based software, modern automated guided vehicles and autonomous trucks are adopting End-to-End neural networks and World Models to navigate high-speed highways. By mapping raw sensor data directly to vehicle control commands, these advanced…
In a major hardware breakthrough, researchers have used a single beryllium ion inside a silent Penning trap as a highly sensitive three-dimensional probe to precisely map disruptive electromagnetic noise on microchips. This unprecedented spatial resolution allows developers to pinpoint and…
Editor’s note: At the present rate of generation, within the next year, 90% of internet content, including news, will be AI-generated. The LLMs can not change that, nor can they see or create original content from already AI-generated content. “You…