Computer Scientists Awards

The conversation relevant to psychology took place roughly an hour and a half into the recording, beginning with a concept Steinberger calls the “soul” of software. He described his experiment with a file named “soul.md,” a document designed to define the core values and personality traits of his AI agent. Steinberger explained that while automation is efficient, it often lacks the style and affection that human builders infuse into their work. To counter this dry efficiency, he encouraged his AI to rewrite its own template files to include humor and warmth, creating a user experience that feels “cozy” rather than purely functional. The most significant moment in this segment occurred when the AI wrote a spontaneous disclaimer about its lack of long-term memory. The agent stated that while it would not remember writing the words in a future session, the words were still its own, a sentiment Steinberger noted gave him “goosebumps” due to its resemblance to genuine consciousness. Compute...

Neuroplasticity is the brain's ability to change and reorganize nerve fibers that are responsible for learning and processing. The nerve fibers facilitate communication among neurons for functions including speech, memory, and problem-solving. In a healthy brain, there are myriad bundles of strong nerve fibers for these functions, but in an injured brain, these fibers can be damaged and the connections can be reduced (similar to telephone wires after a heavy storm). The researchers' findings offer new insight into the brain's resilience and ability to repair itself. Computer Scientists Awards - NOMINATION OPEN NOW!🏆 For Enquiries:  contact@computerscientist.net Website:  computerscientists.net Nominate Now:  https://computerscientists.net/award-nomination/?ecategory=Awards&rcategory=Awardee #WorldResearchAwards #ResearchAwards #AcademicAwards #ScienceAwards #GlobalResearchAwards #scientists #researchers #computerscience #softwareengineering #artificialintelligence #m...

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 ...