Computer Scientists Awards

TestMu AI (formerly LambdaTest) today announced the release of Conversation and Memory Layers for its AI Test Case Generator, introducing iterative and context-aware capabilities for software testing teams.The update enables quality engineering teams to refine AI-generated test cases through natural language instructions without restarting the generation process. Users can modify scenarios, add edge cases, and adjust test flows in real time, with updates applied instantly. The Conversation Layer also supports referencing specific test cases, maintains session context, and allows updated requirements to be incorporated during refinement. The Memory Layer adds contextual intelligence by learning from existing test suites and applying predefined project and organizational standards. The system retrieves relevant past cases, aligns with naming conventions and structural guidelines, and ensures new outputs follow established testing practices. Teams can configure instructions at project and...

Imagine deleting 300,000 lines of C++ code, years of human engineering logic, and replacing it with a system that simply "watches" and learns. That is exactly what happened with Tesla’s Full Self-Driving (FSD) v12. In a move that stunned the engineering world, the company removed massive chunks of explicit control logic. These were rules programmed by humans to tell a car how to drive, such as "if red light, stop" or "if pedestrian, yield." In their place, the team installed neural networks trained on millions of hours of real-world driving data. Instead of being told how to drive, the system learned to drive by observing what human drivers do. This massive leap in technology brings us to the heart of computer vision. How does a machine look at a chaotic street scene and distinguish a pedestrian from a lamppost? How does it know that a cluster of pixels is a "Stop" sign and not just a red balloon? The answer lies in a specialized architecture kno...

As the global economy transitions from the digital era to the "agentic era" of artificial intelligence, Cisco Systems (NASDAQ: CSCO) finds itself in a familiar yet transformed position. Long regarded as the "plumbing" of the internet, Cisco has undergone a decade-long metamorphosis from a hardware-centric router company into a diversified software and security powerhouse. Today, Cisco is at the heart of the AI infrastructure boom. With its recent multi-billion dollar acquisition of Splunk fully integrated and its Silicon One architecture powering some of the world’s largest data centers, the company is no longer just building the roads for data; it is providing the intelligence and security that dictate how that data moves. This research article explores Cisco’s 2026 standing, examining its financial health, technological leadership, and its strategic battle for dominance against newer, nimbler rivals. Computer Scientists Awards For Enquiries:  contact@computerscien...

Artificial intelligence has quietly crossed from being an experimental technology into becoming a core pillar of modern business operations. Just a few years ago, AI was largely confined to research labs and innovation teams. Today, it is embedded in everyday workflows across industries, driving automation, decision-making, and customer engagement at scale. What many business leaders underestimate is how deeply AI development now influences operational efficiency, revenue growth, and long-term competitiveness. Spending on AI technologies continues to rise globally, but the real story is not just about budgets. It is about how organizations are moving from isolated AI pilots to enterprise-wide deployments. From startups building AI-first products to large enterprises modernizing legacy systems, AI development has become a strategic investment rather than a technical experiment. This article breaks down the practical use cases and industry applications of AI development, with a focus on ...

Your microwave oven and Wi-Fi router both operate near 2.4 GHz, creating electromagnetic interference that disrupts wireless connections. Understanding the physics behind this conflict reveals practical solutions, from switching to 5 GHz networks to strategic router placement. You’re on a critical video call, streaming a movie, or in the middle of an intense online gaming session when someone in your household decides to reheat last night’s leftovers. Within seconds, your Wi-Fi connection stutters, buffers, or drops entirely. It’s not a coincidence, and it’s not your imagination. Your microwave oven — that indispensable kitchen workhorse — is actively interfering with your wireless internet signal, and the physics behind this conflict are both fascinating and frustrating. The root of this technological turf war lies in a shared slice of the electromagnetic spectrum. Both microwave ovens and Wi-Fi routers operate at approximately 2.4 GHz, a frequency band that has become one of the most...

Back in 2021 on Phoronix was first to report on Intel preparing Linux patches for a "Software Defined Silicon" feature for activating extra licensed hardware features. That Software Defined Silicon support continued moving forward and was then announced as Intel On Demand with a focus on users being able to pay to activate additional accelerators found on select SKUs but not enabled by default. This pay-to-use model for accelerator IPs already found in the Xeon processors was widely panned. The Intel On Demand allowed for paying to use it on a consumption model or a one-time feature activation. We haven't heard much from Intel around On Demand in the past year or two but it looks like now they are sunsetting the controversial feature. Computer Scientists Awards For Enquiries:  contact@computerscientist.net Website:  computerscientists.net Nominate Now:  https://computerscientists.net/award-nomination/?ecategory=Awards&rcategory=Awardee #WorldResearchAwards #ResearchAw...