top of page
The Communiqué News

Indian Railways has introduced an AI-powered Intrusion Detection System (IDS) using Distributed Acoustic System (DAS) to protect wildlife, including elephants, lions, and tigers, on railway tracks. This technology alerts loco pilots and control rooms 0.5 km in advance of animal presence, potentially saving lives.


Indian Railways Enhances AI System for Wildlife Protection on Tracks

The AI-driven system provides real-time alerts to loco pilots, station masters, and control rooms, facilitating prompt preventive measures. Initially deployed across 141 RKms on the Northeast Frontier Railway, the system has shown effective performance, leading to the awarding of further contracts for 981 RKms across Indian Railways. This will expand the total coverage to 1,122 RKms. This initiative highlights Indian Railways' dedication to wildlife protection and safe train operations. By utilizing AI and DAS, the railways are actively working to prevent animal casualties, aligning with broader conservation objectives. It also sets a new standard for balancing railway operations with wildlife conservation. With AI monitoring, elephants, lions, and tigers are provided safer passage. This follows an unfortunate incident in the Jamunamukh - Kampur section under the Lumding Division of N.F. Railway, where Train no. 20507 DN Sairang - New Delhi Rajdhani Express collided with elephants, causing the derailment of the locomotive and five train coaches. Seven elephants were reported dead, though no passengers were harmed. Following the crash, senior railway officials, including the General Manager of N.F. Railway and the Divisional Railway Manager of Lumding, along with Accident Relief trains, arrived at the scene to conduct restoration work. It was noted that the incident site is about 126 km from Guwahati and is not an official elephant corridor. The loco pilot, upon spotting the elephant herd, applied emergency brakes, but the elephants collided with the train. Meanwhile, Assam Chief Minister Himanta Biswa Sarma expressed deep sorrow and ordered an investigation into the deaths of seven elephants—three adults and four calves—in a tragic train collision.

The Chief Minister stated, "We are deeply saddened by the death of seven elephants—three adults and four calves—in a tragic train collision earlier today. I have directed the Forest Department to conduct a detailed enquiry on this deeply disturbing accident and take steps to further secure our wildlife corridors, particularly during low visibility seasons." Additionally, Rajya Sabha MP Sukhedu Sekhar Roy, in a letter to Railway Minister Ashwini Vaishnaw, highlighted the incident, noting that such occurrences continue due to trains exceeding speed limits in designated elephant corridors. He described these deaths not as accidents but as the result of human negligence, emphasizing that speeding trains pose an ongoing threat to elephants and other wildlife.




Helix has rapidly become one of the most talked-about names in artificial intelligence, representing a new wave of systems that merge perception, language understanding, and physical execution.


Pritish Bagdi

Digital human figure with DNA helix, AI text, and data chart on blue tech background. High-tech and futuristic mood.

While several projects across tech, finance, and enterprise software use the Helix name, its most influential role today emerges from AI robotics — specifically through Figure AI’s breakthrough Vision-Language-Action (VLA) model.

A Unified Brain for Humanoid Robots

Figure AI’s Helix VLA model is redefining what humanoid robots can do. Acting as an integrated “brain,” Helix allows robots to:

  • Understand natural language instructions

  • Interpret and analyze visual environments

  • Translate intentions into coherent physical actions

This fusion of vision, language, and action enables humanoid robots to perform complex, multi-step tasks such as collaborative household chores, tool handling, and dynamic workspace assistance. Unlike earlier robotic control systems that relied on rigid programming, Helix empowers robots to behave with situational intelligence, making decisions based on context and learned experience.

Why Helix Represents a Major Leap in Robotics

The significance of Helix lies in its unified architecture. Instead of treating perception, communication, and motor skills as separate problems, Helix integrates them into a single learning framework. This allows robots to:

  • Understand ambiguous or high-level instructions

  • Reason about their surroundings

  • Adapt to unexpected changes in real time

This positions Helix-powered humanoids as potential game-changers across industries such as manufacturing, logistics, healthcare, eldercare, and home automation.

Beyond Robotics: The Broader Ecosystem of “Helix” in AI

While Figure AI’s Helix leads the public conversation, the name is also used across several forward-looking AI technologies:

  • Helix (Miserlou on GitHub): A modular framework for building AI systems with reusable components — popular among developers exploring scalable architectures.

  • Helix by HL: An AI-powered financial analytics and automation tool used to optimize forecasting and investment insights.

  • 5app’s Helix: An AI-driven skills-management and learning platform designed to help companies identify, track, and upskill workforce capabilities.

These diverse implementations show how “Helix” has evolved into a symbolic name for systems that emphasize intelligence, adaptability, and modular growth across sectors.

Why the Name “Helix” Resonates in AI Innovation

The term evokes ideas of structure, evolution, and continuous improvement — all core principles of modern machine learning. Whether powering robots or optimizing enterprise systems, Helix-style architectures focus on adaptability and integration, mirroring the dynamic nature of a DNA helix.

The Future of Helix in AI and Robotics

As VLA models continue advancing, Helix is positioned to shape the next decade of intelligent machines. Its ability to unify perception, reasoning, and physical action marks a significant step toward robots that can safely and effectively collaborate with humans in everyday environments.

With growing investment in humanoid robotics globally, Helix stands at the center of a transformative shift — one where AI systems evolve from passive tools into capable, context-aware partners.





Updated: Jul 26, 2022

July 06: Prada has released its second Timecapsule NFT Collection, a monthly online event where for 24 hours exclusive items are dropped on its website in limited quantities and in selected markets. The collection follows the collaboration with artist Cassius Hirst, which was dropped in early June and sold out, according to Prada.


Swati Bhat

Pic Courtesy: Prada


Some items, including a shirt which is #31 in the drop, are made from upcycled fabrics from the Prada archives.

Each limited-edition Timecapsule item is given a unique serial number and is delivered with custom packaging. Timecapsule, customers will be able to redeem the related NFT which will be available, in a second phase, also for those who bought the Timecapsule dating back to the first launch in December 2019. As such, there is a synergy between the Prada Timecapsule and the scarcity and desirability of NFTs, the company said in a press release.

NFTs are issued on the Ethereum blockchain and the drop facilitated by leveraging the Aura Blockchain Consortium’s NFT Solution and technology.

Pic Courtesy: Prada



META-TIP: An NFT drop is the release of a non-fungible token project. A drop refers to the exact date, time, and generally the minting price of the NFT. Many NFT drops have purchase limits that apply to the number of NFTs you are able to mint in one transaction. Purchasing at drop time is a great way to save money as well.


bottom of page