Category Archives: technology

computing, industry, networking, storage, technology

Versatility of Fibre Channel: Multi-Protocol Magic

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**Presented by Patty Driever, IBM; Howard Johnson, Broadcom**

### About this Talk

Storage networking consumers are well aware of the classic benefits of Fibre Channel as a dedicated storage networking solution. It provides reliable and lossless data transfer, along with high availability and redundancy.

What is less known is that Fibre Channel supports several Upper Layer Protocols (ULPs), including SCSI, FICON, NVMe, Avionics, and RDMA.

In this webinar, we explore the FC-4 layer of the Fibre Channel architecture, which provides the services used by the various ULPs deployed in Fibre Channel products.

Join us for an in-depth exploration into:

– The history of Fibre Channel’s versatility
– Fibre Channel architectural layers
– Overview of the current FC-4 transports: FCP, FC-SB, FC-NVMe, FC-RDMA

Attendees of the webinar will gain a well-rounded understanding of Fibre Channel technology and become familiar with its broad scope and capabilities.
https://www.brighttalk.com/webcast/679/653837

crime, law enforcement, public safety, technology

Bhopal News: Hi-Tech Policing; Ragging Complaints, Bank Alarms To Reach Police Top Brass Directly

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**Bhopal Police Implement Hi-Tech Alert System for Faster Response**

Bhopal (Madhya Pradesh): In a significant move towards modernizing law enforcement, the Bhopal Police have introduced an advanced alert system that connects the national anti-ragging helpline and bank security alarms directly to the police commissioner’s dashboard. This initiative is aimed at ensuring immediate police response and swift action in critical situations.

In a recent incident, a distressed college student used the anti-ragging helpline late at night. Thanks to the new system, the complaint alert was instantly received by Police Commissioner Harinarayanchari Mishra. Acting swiftly on his instructions, the police intervened promptly, effectively addressing the issue. Officials confirm that similar cases involving ragging and harassment have been resolved quickly under this new mechanism.

The system has also been extended to banks across the city. Whenever a security alarm is triggered inside a bank, a direct alert flashes not only on the police commissioner’s dashboard but also on the screens of senior police officers. This real-time notification enables police teams to mobilize rapidly, often stopping criminals before a robbery can take place.

“Through this advanced connectivity system, alerts from control rooms, helplines, and alarm points go straight to senior officers. This ensures a swift police response and eliminates negligence,” said Police Commissioner Mishra. “With this technology, we have even been able to prevent suicides and thwart bank robbery attempts in the past.”

Additionally, the police are monitoring meta alerts related to suicide-related posts on social media, which help them take immediate action and save lives.

This innovative approach marks a significant step forward in enhancing public safety and demonstrates Bhopal Police’s commitment to leveraging technology for effective law enforcement.
https://www.freepressjournal.in/bhopal/bhopal-news-hi-tech-policing-ragging-complaints-bank-alarms-to-reach-police-top-brass-directly

business, cryptocurrency, finance, investment, technology

Tether (USDT) Fundraising Interest Reportedly From Softbank, Ark Invest

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Tech-focused investment firms SoftBank and Ark Invest are reportedly in early-stage talks to invest in Tether, the issuer of the world’s largest stablecoin, USDT, Bloomberg reported on Friday.

This news follows earlier reports this week revealing Tether’s plans to raise up to $20 billion in a fundraising round, which would value the company at around $500 billion. Such a valuation would make Tether one of the world’s most valuable private companies, highlighting the explosive growth and investor interest in the stablecoin space.

Stablecoins are a class of cryptocurrencies with prices pegged to fiat currencies like the U.S. dollar. Proponents say stablecoins could offer a cheaper, faster alternative for cross-border transactions by leveraging blockchain technology. The sector has expanded rapidly, growing 40% year-to-date to reach $287 billion, according to data from RWA.xyz. Additionally, analysts at global bank Citi project that stablecoins could reach a market value of $4 trillion in a bull market scenario.

Tether’s USDT leads the market with a $173 billion market capitalization. It is predominantly backed by U.S. Treasuries, which have generated substantial profits from bond yields in recent years. The company reported $4.9 billion in profits in the second quarter of this year alone.

Another major player, Circle (CRCL), issuer of the second-largest stablecoin USDC with a market value exceeding $70 billion, went public in June. Since its debut, Circle’s stock price surged from around $30 to $300, underscoring strong investor appetite for exposure to the stablecoin theme.

Tether has also focused on serving emerging markets with limited access to U.S. dollars. Earlier this month, the company announced its intention to formally enter the U.S. market with a new dollar token dubbed USAT. This token is designed to comply with the GENIUS Act, the nation’s first federal crypto law that sets regulatory standards for stablecoins.

To lead its U.S. division, Tether has hired Bo Hines, the former director of the White House Crypto Council who advised President Donald Trump on cryptocurrency policies.

With substantial backing and strategic moves, Tether is positioning itself to remain a dominant force in the fast-growing stablecoin sector, which has the potential to disrupt global payment systems.
https://bitcoinethereumnews.com/tech/tether-usdt-fundraising-interest-reportedly-from-softbank-ark-invest/?utm_source=rss&utm_medium=rss&utm_campaign=tether-usdt-fundraising-interest-reportedly-from-softbank-ark-invest

crime, education, justice, society, technology

Teacher Arrested For Sharing Voyeur Video With Colleagues

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A 41-year-old teacher, identified as Keisuke Tsuguno, has been taken into custody on suspicion of violating laws prohibiting the production of sexually explicit images. Authorities allege that Tsuguno filmed the video in question and distributed it to a private online group composed of teachers.

Although Tsuguno had no personal connection to the four teachers arrested earlier, the video he shared was found stored on one of their smartphones. This discovery ultimately led police to uncover his involvement.

Investigators believe that approximately 10 teachers from elementary and junior high schools were participating in the online group where such explicit material was exchanged.

The investigation is ongoing as authorities work to determine the full extent of the sharing and whether additional arrests will follow.
https://newsonjapan.com/article/147038.php

banking, cryptocurrency, finance, regulation, technology

UK banks forge ‘digital sterling’ in landmark tokenization pilot

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**UK Banks Launch Live Pilot for Tokenized Sterling Deposits, Advancing Financial System Modernization**

UK banks are embarking on a live pilot phase for tokenized sterling deposits, marking a significant step toward modernizing the core infrastructure of the United Kingdom’s financial system through distributed ledger technology (DLT).

According to a press release dated September 26, UK Finance is leading this initiative with participation from major banks including Barclays, HSBC, Lloyds Banking Group, NatWest, Nationwide, and Santander. The project, running through mid-2026, aims to facilitate live transactions using tokenized sterling deposits.

### Pilot Focus and Objectives

The pilot will specifically test practical applications such as online marketplace payments, remortgaging, and digital asset settlement. Key goals include enhancing transaction speed and reducing fraud, thereby highlighting tangible benefits of tokenized deposits in everyday financial activities.

### Building on the Regulated Liability Network

This new pilot builds directly on the foundation established by the Regulated Liability Network (RLN), a multi-phase initiative exploring how tokenization can be applied to money circulating within the regulated financial system.

Previous RLN trials demonstrated that commercial bank deposits can be transformed into digital tokens without compromising the trust and protections fundamental to the banking sector. Transitioning into a live transaction phase allows UK Finance and its member banks to rigorously test this model at scale and across various real-world use cases.

### Guidance and Support from the Bank of England

The Bank of England has played a discreet yet influential role in shaping this direction. Governor Andrew Bailey recently encouraged banks to prioritize tokenized deposits over issuing proprietary stablecoins, citing tokenized deposits as a more stable and regulated pathway for modernizing money.

### Interoperability and Inclusive Access

A critical technical feature of the pilot platform is its full interoperability. As stated in the press release, the platform is being developed to seamlessly integrate with other emerging digital money and payment systems. This includes tokenized deposits, potential future central bank digital currencies (CBDCs), and projects like the planned digital gilt (DIGIT).

Furthermore, the pilot offers tokenization-as-a-service, enabling institutions without in-house capabilities to develop their own digital deposit systems to participate. This approach broadens access and helps establish an inclusive framework for digital payments across the UK financial landscape.

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This live pilot phase represents a pivotal milestone in the UK’s journey toward a more efficient, secure, and technologically advanced financial system. By leveraging tokenization and distributed ledger technology, UK banks are setting the stage for innovative payment solutions that promise to benefit consumers, businesses, and the economy as a whole.
https://crypto.news/uk-banks-forge-digital-sterling-in-landmark-tokenization-pilot/

business, education, finance, technology, trading

How Beginners Can Transition From Manual To Automated Trading

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Trading has evolved significantly over the years. What once relied heavily on intuition, chart reading, and gut feeling has now shifted toward systematic, data-driven methods. For beginners, moving from manual trading to automated trading can feel overwhelming. However, with structured learning, practical guidance, and the right resources, this transition is entirely achievable.

In this article, we’ll explore how beginners can transition from manual to automated trading, the role of education in facilitating this shift, and how QuantInsti’s quantitative finance courses—including *Automated Trading for Beginners* and their day trading course—help learners acquire real-world skills.

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### The Challenges of Manual Trading

Manual trading demands constant attention to the markets. Traders must monitor price movements, analyze charts, track news, and make swift decisions. Beginners often face several common challenges:

– **Time-consuming:** Long hours of screen time are required to monitor markets and respond to events.
– **Emotional Influence:** Fear, greed, and impatience can affect decisions, leading to inconsistent results.
– **Limited Data Handling:** Humans can process only so much information at once, often missing hidden patterns.
– **Backtesting Difficulties:** Testing strategies on historical data manually is slow and prone to errors.

While manual trading is excellent for learning market fundamentals, it is often inefficient and not scalable for long-term growth. This is where automated trading becomes a game-changer.

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### Why Automated Trading Works

Automated trading uses preset rules and computer programs to execute trades. It offers several advantages, especially for beginners:

– **Consistency:** Trades follow defined rules, eliminating emotional biases.
– **Speed:** Computers react faster than humans, capturing opportunities immediately.
– **Data-Driven Decisions:** Algorithms process technical indicators and historical data for informed trading.
– **Backtesting and Optimization:** Strategies can be tested on past data to refine rules before risking real capital.

Automated trading does not replace human judgment; rather, it enhances it. It allows traders to focus on strategy design, risk management, and market analysis instead of reacting impulsively.

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### Building a Strong Foundation

The first step in moving to automated trading is structured learning. Beginners need to understand market basics, trading strategies, and programming fundamentals.

Quantitative finance courses provide this foundation with modules designed for both beginners and advanced learners. Courses like *Automated Trading for Beginners* teach Python programming, quantitative techniques, and methods to analyze historical market data.

Students explore various strategies, including day trading, event-driven trading, ARIMA, ARCH, GARCH, volatility modeling, and statistical arbitrage.

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### Learning by Doing

Theory alone is not enough. Beginners must apply what they learn in real-world scenarios. Starting by coding simple strategies such as momentum trading or scalping helps build practical skills.

Backtesting allows learners to evaluate how a strategy performs historically, adjust parameters, and understand market condition impacts. This hands-on approach builds confidence before live trading, ensuring strategies are well understood and risks are managed.

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### Transitioning from Manual to Automated Day Trading

Day trading is often where beginners first experience the benefits of automation. A dedicated day trading course shows how to automate strategies previously executed manually. Here’s a step-by-step approach for beginners:

1. **Start Small:** Begin with simple strategies like momentum trading or basic indicators. Understand the rules and execution.
2. **Backtest Strategies:** Use historical data to evaluate performance and identify weaknesses without risking real money.
3. **Paper Trading:** Simulate trades in real-time using virtual capital to bridge the gap between testing and live markets.
4. **Live Trading with Risk Management:** Once confident, start live trading with strict stop-loss rules and proper position sizing.

This structured process saves time, reduces errors, and helps build a systematic, disciplined trading practice.

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### A Learner’s Journey: From Curiosity to Confidence

Consider Xavier Anthony from Canberra, Australia. With a background in engineering and computer science, Xavier was naturally drawn to data and technology and had a strong fascination with financial markets. He experimented with mock trades and tested various strategies but struggled to turn knowledge into consistent results.

Xavier’s breakthrough came when he joined QuantInsti’s Executive Programme in Algorithmic Trading (EPAT). Through the program, he acquired technical skills, mastered backtesting, learned risk management, and honed strategy evaluation.

Today, Xavier confidently develops trading strategies, understands why trades execute, and knows how they fit into a broader portfolio—demonstrating how structured education and practical experience are crucial in transitioning from manual to automated trading.

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### Tools and Resources for Beginners

QuantInsti offers a comprehensive ecosystem to support learners moving into automated trading:

– **Interactive Notebooks and Coding Exercises:** Learn by doing in an engaging environment.
– **Capstone Projects with Real Market Data:** Apply strategies in realistic, hands-on scenarios.
– **Community and Faculty Support:** Access expert guidance and peer support.
– **Lifetime Access:** Revisit courses, exercises, and projects anytime to sharpen skills.

These resources allow beginners to build expertise gradually without feeling overwhelmed.

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### Tips for a Smooth Transition

To make the shift from manual to automated trading easier, keep the following tips in mind:

– **Be Patient:** Automation is not a shortcut to instant profits. Start small and focus on learning.
– **Learn from Mistakes:** Use backtesting and paper trading to experiment safely.
– **Prioritize Risk Management:** Effective position sizing and stop-loss rules are essential.
– **Practice Consistently:** Regular coding, testing, and refining improve skills and confidence.
– **Seek Guidance:** Utilize courses, communities, and mentors to avoid common pitfalls.

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### Final Thoughts

Transitioning from manual to automated trading may seem challenging, but it is vital for long-term success. Automation brings consistency, efficiency, and the ability to analyze vast amounts of data.

QuantInsti’s quantitative finance courses equip beginners with the knowledge, hands-on experience, and confidence needed to design, backtest, and implement automated strategies effectively.

QuantInsti offers a modular, flexible, “learn by coding” approach, including free starter courses and affordable per-course pricing. For advanced learners, the EPAT program provides live classes, expert faculty, placement support, and career opportunities through hiring partners and alumni success stories.

Together, these programs help beginners become skilled, confident traders ready to succeed in today’s dynamic markets.
https://www.freepressjournal.in/latest-news/how-beginners-can-transition-from-manual-to-automated-trading

ai, automotive, innovation, technology, urban development

Employees Trial AI Lifestyle In Toyota’s Woven City

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Within the city at the base of Mount Fuji in Susono City, Shizuoka Prefecture, a dedicated test course for self-driving vehicles has been established. This innovative facility enables experiments such as synchronizing traffic signals with cars—tests that would be difficult to carry out on public roads.

In addition to the self-driving vehicle course, other initiatives are underway. These include next-generation vending machines and cafes that serve as platforms for testing new concepts. Researchers are actively examining how advanced technologies can be seamlessly integrated into daily living.

The first phase of this ambitious project covers roughly one-sixth of the planned area and has already welcomed its initial residents. Toyota has announced that the number of participating companies will expand as the project continues to evolve, paving the way for future technological advancements.
https://newsonjapan.com/article/147026.php

artificial intelligence, education, technology, training

IIT Delhi Opens Registration For Second Batch Of Certificate Programme In Applied Data Science & AI

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IIT Delhi Launches Second Batch of Certificate Programme in Applied Data Science & Artificial Intelligence

The Indian Institute of Technology Delhi has announced the second batch of its Certificate Programme in Applied Data Science & Artificial Intelligence: From Fundamentals to Deployment. This comprehensive programme is designed to equip learners with the skills to write production-grade Python code, engineer and analyze data, build and validate machine learning (ML) and deep learning models, and deploy responsible AI solutions using MLOps. The course culminates in an industry-relevant capstone project, ensuring practical, hands-on experience.

Programme Highlights

Offered under IIT Delhi’s Continuing Education Programme (CEP), this six-month course provides a strong foundation in ML and AI principles and their real-world applications. These technologies are becoming increasingly central across sectors such as healthcare, finance, retail, manufacturing, education, transportation, and entertainment.

Key aspects of the programme include:

  • Hands-on Python programming and data manipulation
  • Exploratory data analysis, regression, classification, clustering, and dimensionality reduction
  • Advanced techniques in deep learning, reinforcement learning, and natural language processing (NLP)
  • Model deployment using Docker and cloud platforms
  • MLOps practices and application of responsible AI principles
  • Industry-grounded projects and a culminating capstone project

Curriculum and Learning Format

The curriculum is thoughtfully designed to guide learners from fundamental concepts to advanced applications, including:

  • Python programming, data manipulation, and exploratory data analysis
  • Machine learning techniques such as regression, classification, clustering, and dimensionality reduction
  • Deep learning, reinforcement learning, and natural language processing
  • Model deployment, cloud computing, and MLOps strategies
  • Application of responsible AI principles through hands-on projects and capstone

The programme employs a Direct-to-Device (D2D) delivery model comprising:

  • 72 hours of live, interactive online lectures
  • 40-hour industry-relevant capstone project
  • Practical tutorials and asynchronous learning modules
  • Optional short campus immersion at IIT Delhi for in-person experience

Upon successful completion, participants will earn e-Certificates from CEP, IIT Delhi, subject to fulfilling all programme requirements.

What the Faculty Says

“At IIT Delhi, we’ve built this program around doing, not just knowing,” said Prof. Ankur Gupta of the Centre for Applied Research in Electronics during the programme’s unveiling. “After practicing Python, deep learning, and current machine learning techniques, learners use MLOps and responsible AI principles to deploy their models in production. The capstone, industry examples, and mentoring ensure participants graduate with deployable solutions and the confidence to leverage data science effectively across industries.”

Who Should Apply?

This programme is ideal for:

  • Aspiring data scientists and AI enthusiasts
  • Technology and analytics professionals seeking to upskill or pivot careers
  • Engineers and technologists implementing AI solutions in industry settings
  • Students and researchers aiming to deepen their expertise in applied AI and data science

The Growing Demand for AI Skills

According to McKinsey’s The Data-Driven Enterprise of 2025, data will be ubiquitous across business processes by 2030, requiring leaders to adopt a ‘data and AI first’ approach. The World Economic Forum’s Future of Jobs Report 2025 highlights that 86% of employers expect AI to transform their operations by 2030. However, 63% of these employers cite skill gaps as a major barrier to adoption. Additionally, approximately 39% of current skill sets are projected to become obsolete within five years, underscoring the urgent need for upskilling.

This certificate programme by IIT Delhi offers a timely opportunity for professionals and learners to bridge this gap and prepare for the future of AI-driven industries.

https://www.freepressjournal.in/education/iit-delhi-opens-registration-for-second-batch-of-certificate-programme-in-applied-data-science-ai

defense, india, international, military, technology

India test-fires Agni Prime missile from rail-based mobile platform

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The Defence Research and Development Organisation (DRDO), in collaboration with the Strategic Forces Command (SFC), successfully launched the intermediate-range Agni-Prime missile under a full operational scenario on Wednesday, the defence ministry announced. The location of the test-firing has not been disclosed.

This “first-of-its-kind” launch was carried out from a specially designed rail-based mobile launcher, which has the unique capability to move on a rail network without any pre-conditions. It allows users to have cross-country mobility and enables missile launch within a short reaction time, explained Defence Minister Rajnath Singh.

“This successful flight test has placed India in a select group of nations with the capability to develop a canisterised launch system from a moving rail network,” Singh said on social media platform X.

The ministry highlighted that the missile is equipped with independent launch capabilities, including state-of-the-art communication systems and advanced protection mechanisms. The missile’s trajectory was carefully tracked by various ground stations, and the launch was described as a textbook execution that met all mission objectives.

“This successful launch will pave the way for the induction of futuristic rail-based missile systems into the armed services,” the ministry added.

The test launch was witnessed by senior DRDO scientists and officers from the Strategic Forces Command. Notably, the “road mobile” variant of Agni-Prime has already been inducted into the armed forces after completing a series of successful flight trials.

The recent test-firing comes just over four and a half months after the four-day military conflict between India and Pakistan.

In related developments, on Tuesday, Rajnath Singh underscored India’s vision of Aatmanirbhar Bharat (self-reliant India), emphasizing that the goal is not only to manufacture for domestic needs but also to develop capabilities that position India as a credible source of advanced technology and high-quality products globally.

During the same day, Singh and his Moroccan counterpart, Abdelatif Loudyi, jointly inaugurated Tata Advanced Systems Limited’s (TASL) state-of-the-art defence manufacturing facility in Berrechid, Morocco. Singh described this event as a historic moment in the evolving strategic partnership between India and Morocco.
https://www.mid-day.com/news/india-news/article/india-test-fires-agni-prime-missile-from-rail-based-mobile-platform-23595727

ai, art, business, creativity, technology

Google Launches AI-Powered Mood Board App Mixboard: 5 Reasons Why Its Better Than Pinterest

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Google Labs has launched Mixboard, an experimental AI-powered mood board app designed to transform the way users brainstorm and develop ideas visually. This innovative tool positions itself as a creative platform where users can explore and refine concepts using AI-generated content, aiming to rival popular platforms like Pinterest.

Unlike Pinterest, which primarily collects and curates existing images, Mixboard takes a unique approach by generating original visuals. Powered by Google’s ‘Nano Banana’ image editing model, Mixboard enables users to create unique images based on text prompts, opening up new possibilities beyond pre-existing content.

One of the standout features of Mixboard is its natural language editing capabilities. Users can manipulate their boards through simple conversational commands such as “make it more minimal” or “blend these two concepts.” This intuitive interface lets users make dynamic adjustments without any prior design expertise.

Additionally, Mixboard excels in context-aware text generation. The platform can automatically generate descriptive text that aligns with the visual context of images on mood boards. This feature helps users articulate their creative vision more clearly and provides automatic descriptions for each visual element.

Exploring creative alternatives is easy with Mixboard’s one-click variation options. Features like “regenerate” and “more like this” allow users to instantly view multiple iterations of their ideas, streamlining the creative process and fostering experimentation.

Another key advantage is Mixboard’s integrated text and visual workflow. The platform features an open canvas format where users can combine text prompts with visual elements seamlessly. This integration enables users to start projects from written concepts and smoothly transition between text-based ideation and visual creation—a functionality not available on Pinterest.

Mixboard is designed for a wide range of creative applications such as home decor planning, event themes, product development, and DIY projects. As an experimental project from Google Labs, the platform focuses on making AI-powered creative tools accessible to general users seeking inspiration and innovation.

Currently, Mixboard is available exclusively to users in the United States and remains in an experimental beta phase. Keep an eye out as this promising creative tool evolves and expands its reach in the near future.
https://www.freepressjournal.in/tech/google-launches-ai-powered-mood-board-app-mixboard-5-reasons-why-its-better-than-pinterest