Tag: #detection

How AI is Revolutionizing the Financial Industry?

Artificial intelligence (AI) is changing the way financial institutions operate. From preventing fraud to helping people manage their money more effectively, AI is becoming essential to the financial world. Banks, lenders, investment firms, and even insurance companies use AI to improve efficiency, reduce risks, and enhance customer experiences.

For many people, AI in finance still feels like a complex topic. But AI already influences how we borrow money, invest, and even protect our personal data. This article will explain how AI transforms finance, making financial services smarter, safer, and more accessible.

AI in Fraud Detection

Financial fraud is a multi-billion-dollar problem. In 2023, the Federal Trade Commission (FTC) reported that fraud losses in the U.S. exceeded $10 billion. AI is now a key player in detecting and preventing fraud before it causes significant damage.

Here’s how AI helps fight fraud in real life:

  • Account protection. If someone tries to log in from an unfamiliar device or unexpectedly changes settings, AI notices and blocks suspicious activity.
  • Detection of fake documents. Fraudsters create fake IDs using stolen data, but AI scans financial databases and finds discrepancies, preventing them from opening fictitious accounts.
  • Biometric security. Banks actively use AI for facial recognition and voice authentication to make sure that the client is them and not a fraudster.
  • Instant transaction monitoring. AI analyzes millions of transactions per second, identifying suspicious patterns — for example, frequent small write-offs, unusual places of purchase, or quick transfers between accounts. This is how Mastercard leverages its AI capabilities to fight real-time payment scams.

AI in Credit Scoring

Previously, banks assessed borrowers based on limited criteria: credit history, debt level, and payment regularity. But, artificial intelligence makes this process more accurate by taking into account more factors and reducing the risk of errors.

Here’s what has changed since the introduction of artificial intelligence in finance:

  • Wider data analysis. Now, lenders look not only at traditional indicators, but also take into account rent payments, utility bills, and account transactions. This gives a chance to those who do not have a long credit history but have a stable income.
  • Applications are quickly approved. If a loan decision took several days previously, AI analyzes data in real-time and provides a result in minutes.
  • Less bias. With the development of AI, assessing borrowers has become more accurate. This is also noted by financial expert John Reeves from Magnolia Loans: “AI eliminates the human factor in credit scoring, which reduces the risk of errors and increases objectivity in decision-making.”
  • Personalized conditions. Instead of outdated models, banks can now offer interest rates more accurately reflect the borrower’s financial situation.

AI in Risk Management

Risk management is a top priority for financial institutions. Whether assessing borrowers’ creditworthiness, protecting investments, or ensuring stability in financial markets, AI is increasingly important in improving risk management efficiency and accuracy.

Here’s how financial artificial intelligence is helping with risk management today:

  • Market risk assessment. Hedge funds and investment firms, including BlackRock and Goldman Sachs, use AI-powered models to analyze market trends and predict fluctuations. This helps investors minimize losses during economic downturns.
  • Loan default prediction. AI models analyze borrowers’ credit histories, income levels,  employment stability, and even spending patterns to predict the likelihood of default.
  • Cybersecurity risk detection. AI detects vulnerabilities in banking systems, identifying patterns that indicate hacking attempts or data breaches before they happen.
  • Real-time transaction monitoring. AI-powered software, such as Fiserv’s Risk & Fraud Solutions, monitors real-time banking transactions, identifying potential fraud or financial instability.

AI in Customer Service

AI in banking and finance is changing the way we interact with customers. Chatbots, virtual assistants, and AI-powered customer service tools make banking more efficient by answering questions, solving problems, and offering financial advice.

Many major banks provide AI-powered virtual assistants that help customers with everything from checking their balances to scheduling bill payments. These AI-powered assistants reduce the workload on the call center and instantly answer common banking queries.

AI is also improving customer personalization. For example, AI-powered recommendation systems analyze spending habits and suggest savings plans, credit card upgrades, or investment opportunities based on the user’s financial behavior.

Another key benefit is accessibility. Voice assistants and chatbots in consumer finance allow customers to interact with their banks 24/7 without waiting for a human agent. This ensures that people can get help anytime, whether verifying a transaction or disputing a payment.

AI in Investment Strategies

Investing is no longer limited to professionals. AI-powered tools help individuals and companies make smarter investment decisions by analyzing market trends, risks, and opportunities faster than any human could.

Here’s how AI is used in investing today:

  • Automated portfolio management. Robo-advisors use AI to create and rebalance portfolios based on a user’s financial goals and risk appetite.
  • Market trend analysis. AI-powered software scans news articles, earnings reports, and stock price movements to identify profitable investment opportunities. Bloomberg Terminal integrates AI-powered analytics to help investors make informed decisions.
  • Algorithmic trading. Hedge funds use AI to automate trading strategies, reducing the need for emotional decision-making and improving trade execution.
  • Alternative data analysis. AI processes non-traditional data sources, such as satellite imagery and social media sentiment, to predict stock performance.

AI in Compliance

Regulatory compliance is a major challenge for banks, but AI is helping institutions stay within the law by automating complex reporting and monitoring processes.

Banks must comply with regulations such as the Bank Secrecy Act (BSA) and Dodd-Frank Act, which mandate strict anti-money laundering (AML) policies. AI helps by scanning transactions and detecting potential money laundering schemes. Software from companies like FICO and SAS uses AI to analyze financial activity and flag suspicious transactions for further investigation.

Another area where AI is making compliance easier is data protection. Regulations like the Gramm-Leach-Bliley Act (GLBA) require banks to safeguard customer information. AI-powered cybersecurity tools detect vulnerabilities in banking systems and prevent data breaches.

The Dark Side of Artificial Intelligence in Financial Services

AI in finance comes with risks and ethical concerns that need careful oversight.

Here are the main problems and risks:

  • Data privacy concerns. AI systems collect massive amounts of financial data, increasing the risk of security breaches.
  • Algorithmic bias. If AI models are trained on biased data, they can reinforce discrimination in lending and hiring decisions.
  • There is a lack of transparency. AI-powered financial models often operate as “black boxes,” making it difficult to understand how decisions are made.
  • Cybersecurity threats. Cybersecurity threats continue to increase, especially from hackers using artificial intelligence. These hackers conduct sophisticated phishing, social engineering, and voice and video cloning attacks, which threaten the security of AI-based financial systems.

Is There a Future for AI in Banking and Financial Services? 

In the future, artificial intelligence (AI) will become an integral part of financial services, helping to create safer, more efficient, and personalized solutions for consumers. AI is expected to be more deeply integrated into various aspects of the financial sector, from risk assessment to fraud prevention, opening up new horizons for improving the quality of service.

One of the most significant changes will be the mass adoption of AI-based voice banking. This technology will allow customers to safely manage their accounts, make transfers, and receive advice using voice commands. Systems such as voice assistants and chatbots can already understand and process requests, but they will be significantly improved in the future. AI will learn to recognize context, intonation, and nuances of speech, providing customers with more personalized and efficient services.

Fraud has always been one of the biggest problems in the financial sector, and AI will play a key role in its prevention in the future. Today’s systems already use algorithms to analyze transactions and identify suspicious activity, but in the coming years, AI will become even more accurate and faster at detecting fraud. Systems will be able to respond to current threats and predict new types of fraud, adapting to the constantly changing methods of attackers. This will allow the blocking of unwanted transactions and the warning of clients about possible risks in real-time.

Robo-advisors using AI are already helping investors make decisions based on analytics and current market trends. In the future, these technologies will be even more advanced, with the ability to personalize advice for each client based on their financial goals, risk tolerance, and life circumstances. AI will analyze large amounts of data, including historical trends, customer behavior, and economic forecasts, to provide recommendations that best suit individual needs.

However, introducing AI in banking and finance will raise new ethical questions. How will fairness and transparency in decision-making be ensured? Who will be held responsible if AI makes a mistake? In the future, new rules and standards will be developed to regulate the use of AI to prevent possible risks associated with discrimination, unauthorized access to data, and violation of consumer rights. These measures will create a balanced and safe interaction between people and artificial intelligence in the financial sector.

 

Unlocking the Potential of AI to Improve Testing Accuracy

Software testing is an important step in creating quality applications. But traditional methods often take too much time and miss issues. AI testing is changing this by making the process faster and more accurate.

AI testing tools help teams find problems early. They improve test coverage and reduce errors. These tools also save time by automating repetitive tasks. With AI testing, teams can handle complex applications and deliver better software to users. It is especially useful for catching bugs that are hard to find manually. AI testing ensures software works smoothly in different scenarios.

This blog explores how AI testing improves accuracy and makes software reliable. It includes the best strategies and tools for teams that want to improve their testing process. AI testing is the future of quality assurance and now is the time to use its potential.

Why Testing Accuracy Matters? 

Testing accuracy is essential for delivering reliable software. Inaccurate testing can lead to bugs, user dissatisfaction, and financial losses. This section explores its importance and the risks of neglecting accuracy.

The Cost of Inaccurate Testing

Inaccurate testing can be expensive for businesses. It leads to missed bugs, delayed releases, and poor customer experiences.

  • Loss of Revenue: Bugs in live software can make customers stop using a product and reduce earnings.
  • Higher Development Costs: Fixing bugs after release costs more and takes longer than fixing them earlier.
  • Reputation Damage: Poorly tested software harms brand reputation and reduces customer trust in the product.
  • Product Delays: Inaccurate tests often lead to longer debugging cycles, delaying product launches.
  • Legal Risks: Missing compliance standards because of undetected issues can lead to lawsuits or fines.

Why Precision Is Critical in Complex Applications

It require precise testing to handle their advanced features and varied user scenarios. AI helps achieve this level of accuracy.

  • Scalability Challenges: Large systems involve many components. Precise testing ensures all elements function well together without errors.
  • Real-World Simulation: Testing accurately replicates user interactions across devices and environments, improving reliability.
  • Error Prevention: Precision helps identify and fix potential issues before they escalate into major problems.
  • Dynamic Updates: Complex apps often evolve. Accurate testing ensures new updates do not break existing functionality.
  • Compliance Standards: Precision ensures applications meet industry and legal standards, especially in healthcare and finance sectors.

How AI Enhances Testing Accuracy

AI testing is changing the way teams ensure software quality. It reduces errors, speeds up processes, and improves overall accuracy. By using AI-driven techniques, testing becomes smarter and more efficient.

Smarter Test Case Design Using AI

AI helps in creating better test cases by analyzing patterns and application data. This makes testing more accurate and less time-consuming.

  • Pattern Recognition: AI identifies recurring patterns in application behavior to create relevant and efficient test cases.
  • Data-Driven Decisions: It uses historical data to design test cases that cover all critical functionalities.
  • Dynamic Test Updates: AI updates test cases automatically when changes occur in the application, saving manual effort.
  • Improved Coverage: AI generates test cases for scenarios that manual testers may overlook, increasing accuracy.
  • Faster Analysis: It evaluates application requirements quickly to suggest the best testing scenarios.

Detecting Patterns and Predicting Failures

AI testing tools detect patterns in software behavior and predict potential failures before they impact users. This improves reliability.

  • Failure Prediction: AI predicts weak spots in the code based on previous test results and application performance.
  • Anomaly Detection: It identifies unusual behavior that might lead to bugs or security issues.
  • Risk Analysis: AI evaluates risk levels for different application areas and prioritizes testing efforts accordingly.
  • Real-Time Monitoring: It monitors application performance during testing and flags issues immediately.
  • Historical Insights: AI learns from past failures to improve future testing accuracy and reliability.

Strategies for Accuracy Using AI Testing

AI testing services offer powerful strategies to improve testing accuracy. These approaches reduce errors, increase efficiency, and ensure software meets user expectations.

Automating Repetitive Tasks for Consistency

AI testing tools handle repetitive tasks efficiently. This improves accuracy and reduces the time spent on manual efforts.

  • Data Entry Testing: Automates repeated data input scenarios to test forms, fields, and workflows with higher accuracy.
  • Regression Testing: Repeats previous test cases quickly to confirm new updates do not affect old functionalities.
  • Cross-Browser Testing: Runs the same tests across different browsers to ensure consistent performance.
  • Input Validation: Tests multiple data variations in fields to check software responses accurately.
  • Batch Execution: Executes repetitive tasks in bulk, improving consistency and reducing human error.

Self-Healing Tests to Reduce Maintenance

Self-healing tests automatically fix broken test cases when the application changes. This reduces downtime and improves accuracy.

  • Dynamic Locators: Updates test locators automatically when UI changes, avoiding failures during execution.
  • Code Adaptation: Adjusts scripts to match updated workflows or new functionalities.
  • Error Detection: Identifies issues in tests and resolves them without manual input.
  • Continuous Monitoring: Tracks test health over time and flags potential risks.
  • Reduced Debugging Efforts: Minimizes the need for testers to revisit old scripts after code updates.

Predictive Defect Analysis to Focus on Risky Areas

AI uses past data to identify high-risk areas. This ensures critical parts of the application are tested thoroughly.

  • Risk Scoring: Assigns scores to application components based on their likelihood of failure.
  • Failure Predictions: Analyzes test results to forecast areas prone to defects.
  • Focused Testing: Prioritizes test cases for high-risk functionalities, ensuring better coverage.
  • Historical Analysis: Learns from previous bugs to improve future testing accuracy.

Enhancing Test Coverage 

It allows testers to explore more scenarios and find issues that might not be detected with traditional methods.

  • Scenario Generation: Creates new test scenarios based on user behavior and application patterns.
  • Edge Case Coverage: Identifies rare and unique cases that are often overlooked.
  • Behavior Analysis: Tracks user interactions to find untested features or areas.
  • AI-Assisted Navigation: Guides testers through less-explored application paths for deeper analysis.
  • Real-Time Adjustments: Adapts testing strategies dynamically based on findings during exploration.

Intelligent Prioritization of Test Cases

AI tools rank test cases based on their importance. This ensures high-impact tests are executed first.

  • Critical Feature Focus: Prioritizes tests for features essential to the application’s functionality.
  • Risk-Based Ranking: Assigns priority to tests covering areas with higher failure risks.
  • Efficiency Gains: Reduces time spent on low-impact tests by focusing on priority cases.
  • Customer Impact Analysis: Identifies features users interact with most and prioritizes their testing.
  • Test Plan Optimization: Structures testing workflows around high-priority areas for better outcomes.

Faster Bug Detection Using AI-Powered Analysis

AI tools speed up bug detection by analyzing data in real time. This reduces delays and improves the quality of test results.

  • Log Analysis: Scans application logs to detect unusual activity or potential errors.
  • Real-Time Reporting: Flags bugs instantly during testing, allowing quicker resolution.
  • Pattern Matching: Compares application behavior with expected outcomes to find discrepancies.
  • Error Clustering: Groups related issues together, making them easier to address.

Unlocking the Full Potential of AI for Testing Accuracy

AI testing tools can do more than just automate tasks. They unlock new possibilities for improving software quality and efficiency. By fully using their capabilities, teams can achieve better testing outcomes.

Advanced Machine Learning Algorithms for Adaptive Testing

Machine learning in AI testing helps systems learn and adapt to changes. This improves test accuracy and efficiency.

  • Dynamic Test Adaptation: AI adjusts tests based on application updates, reducing the need for manual intervention.
  • Behavior Analysis: Machine learning studies user behavior to create test scenarios that match real-world interactions.
  • Anomaly Identification: It identifies unusual patterns in the software that might cause bugs or issues.
  • Test Optimization: AI prioritizes critical test cases, focusing on areas with higher risk or complexity.
  • Data Insights: Machine learning uses historical test data to suggest improvements in test strategies.

Integration of AI with Cloud Testing Platforms

AI combined with cloud testing platforms increases scalability and accessibility, making testing faster and more reliable.

  • Scalable Testing: AI testing tools in the cloud handle multiple test scenarios across devices and browsers simultaneously.
  • Accessibility Anywhere: Teams can access AI testing tools from any location, improving collaboration and efficiency.
  • Resource Optimization: Cloud platforms allocate resources dynamically to optimize testing speed and accuracy.
  • Centralized Data Management: Cloud integration ensures all testing data is stored and analyzed in one place.
  • Faster Test Execution: AI-powered cloud platforms reduce testing time, enabling quicker deployments. 

To make your testing process easier, you can use LambdaTest’s AI-powered Test Intelligence platform. This platform includes advanced features like auto-healing, flaky test detection, root cause analysis (RCA), and other AI-driven tools. These features enhance software reliability and enable you to deliver high-quality software more quickly. Additionally, it provides an AI-powered SmartUI cloud for efficient visual UI testing across different environments.

KaneAI by LambdaTest is a unique AI-powered QA Agent-as-a-Service platform. It helps teams create, debug, and improve tests using natural language. Designed for fast-paced quality engineering teams, KaneAI minimizes the time and expertise needed to start with test automation.

Features:

 

  • Intelligent Test Generation: Allows you to create and update tests easily using natural language instructions.
  • Intelligent Test Planner: Automates test steps based on your high-level objectives.
  • Multi-Language Code Export: Generates automated tests in all major programming languages and frameworks.
  • Smart Show-Me Mode: Converts your actions into natural language instructions, making it simple to build reliable tests.

AI Bridges Gaps in Manual and Automated Testing

They address the limitations of both manual and automated testing by combining their strengths.

  • Human-Like Decision Making: AI mimics human reasoning to test scenarios where manual judgment is usually required.
  • Improved Script Maintenance: It reduces test maintenance effort by automatically updating scripts when the software changes.
  • Enhanced Test Coverage: AI fills the gaps in automated testing by covering untested areas efficiently.
  • Error Reduction: It minimizes human errors during manual testing by offering suggestions and insights.
  • Continuous Feedback: AI provides real-time feedback, helping testers refine their strategies.

Conclusion

AI makes software testing better. It helps teams test faster and find problems more accurately.

The potential of AI testing is still growing. It solves many challenges faced in traditional testing. AI tools focus on reducing errors and improving overall quality.

Businesses that use AI for testing can save time and money. They can also improve user satisfaction with fewer bugs and better performance. AI testing is not a replacement for human effort. Instead, it helps testers work more efficiently.

As software becomes more complex, AI will play an even bigger role in quality assurance. It will help teams meet growing demands and deliver better solutions. AI testing is the future of creating reliable, high-performing software.

Start exploring AI tools today and take your testing to the next level.

Detection Technology introduces revolutionary all-in-one CT detector system

Detection Technology, a global leader in X-ray detector solutions, introduces a game-changing all-in-one CT (computed tomography) detector system, purpose-built for X-ray system manufacturers and integrators. Designed to simplify system architecture and data transfer while delivering unprecedented performance, the solution represents a major leap forward for static and rotating CT systems across medical, security, and industrial applications.

The all-in-one CT detector system integrates key components, including detector modules, data combiner boards, data control boards, and optimized slip ring interfaces. It debuts with static CT systems, with plans to expand into rotating CT systems and advanced modalities like photon-counting CT (PCCT).

The detector system handles data at rates of tens of gigabits (Gbps) per second, enabling wider imaging coverage and reduced view times. These features enable more robust X-ray imaging systems that meet the increasing demand for high-resolution, low-dose imaging. The platform is designed to be seamlessly scalable, with data rates scaling up to hundreds, paving the way for photon-counting CT technology and next-generation imaging solutions.

“This platform brings unmatched efficiency and innovation,” said Tuomas Holma, Director of Product Management at Detection Technology. “Our all-in-one detector system minimizes risks, interfaces, and supply chain complexities while unlocking new imaging possibilities across industries.”

By combining hardware, firmware, and software in a modular and scalable platform, the detector system offers seamless integration. It reduces the need for multiple contact rings in slip ring interfaces, cutting costs and enhancing reliability. Its compatibility with the GigE Vision protocol and versatile support for slip ring interfaces ensures streamlined data communication.

Additionally, the platform supports dual-energy imaging and photon-counting CT, enabling improved spatial resolution, superior material discrimination, noise reduction, and wide imaging coverage. These benefits extend across security, medical, and industrial applications, providing a faster time-to-market for manufacturers.

The all-in-one CT detector system is designed to power a variety of high-performance X-ray applications:

  • Security CT: Enhanced 3D security screening systems for baggage and cargo.
  • Medical CT: Static and rotating systems with low-dose imaging.
  • Industrial inspection: High-speed, high-resolution 2D and 3D imaging for demanding applications.

“Our invention paves the way for transmitting up to 100x more data within a single CT system rotation period. This milestone brings us closer to fully unlocking photon-counting applications and meeting the industry’s need for high temporal and spatial resolution,” added Tuomas Holma.

Detection Technology will highlight the key features of its revolutionary all-in-one CT detector system at RSNA 2024 in Chicago, USA. Visit Detection Technology at Booth 4133 in the South Hall, Level 3, from December 1–4.

HONOR Redefines Mobile AI Solutions with PC powered by Snapdragon, on-device AI Agent and AI Deepfake Detection at #IFA2024

Today at IFA 2024, HONOR unveiled three groundbreaking mobile AI Solutions: AI PC powered by Snapdragon® X Elite platforms, AI Agent and AI Deepfake Detection. The launch was accompanied by a thought-provoking panel discussion featuring HONOR CEO George Zhao; Alex Katouzian, Group GM of MCX at Qualcomm Technologies, Inc.; and Mark Linton, VP of Device Partner Sales at Microsoft. Together, they explored the convergence of AI and Snapdragon technology, discussing how these innovations are shaping the future of mobile AI.

“When it comes to mobile computing, AI is not just a buzzword, it’s a revolution,” commented George Zhao, CEO of HONOR Device Co., Ltd. “At HONOR, we’re committed to working with our partners to deliver powerful AI capabilities and seamless connectivity, while protecting our users’ privacy. Through open collaboration with industry leaders, we’re creating devices that empower individuals and redefine what’s possible.”

“At Qualcomm Technologies, we believe the neural processing unit is the key to unlocking the true potential of AI in PCs,” added Alex Katouzian, Group GM of MCX, Qualcomm Technologies, Inc. “The Snapdragon X Elite with its industry-leading neural processing unit performance empowers AI PCs like the HONOR MagicBook Art 14 to deliver next-generation AI experiences. Not only will users see a significant boost in capabilities, but the neural processing unit efficiency also translates to longer battery life, allowing users to stay productive for extended periods.”

HONOR MagicBook Art 14 Snapdragon: Redefining PC in the Mobile AI Era

The PC landscape is undergoing a radical transformation, driven by advancements in AI and the rise of Snapdragon platforms. Fueled by HONOR’s platform-level AI capabilities and developed in collaboration with top industry leaders, HONOR MagicBook Art 14 Snapdragon heralds a new era of computing.

Featuring a sleek and compact design, the HONOR MagicBook Art 14 Snapdragon is a marvel of lightweight engineering. It incorporates cutting-edge platform-level AI features alongside robust hardware and software solutions, ensuring unmatched productivity and user experience. It translates the lightweight and slim characteristics of smartphones to laptops, delivering the lightest and slimmest AI PC on the market, weighing approximately 1kg with a slimness of 1cm. Delivering an immersive visual journey, the HONOR MagicBook Art 14 Snapdragon features a captivating 14.6-inch HONOR FullView Touch Display boasting a crystal-clear 3.1K resolution. It also includes an outstanding 97% screen-to-body ratio, the largest among 14-inch laptops. The HONOR MagicBook Art 14 Snapdragon is powered by the Qualcomm Snapdragon X Elite, elevating the computing experience to new heights in terms of power, efficiency, and security.

The HONOR MagicBook Art 14 Snapdragon also enables a smooth transition of Windows applications on X86 to the Windows on Snapdragon architecture. Based on years of research on the ecosystem, HONOR created a Hotspot Library that uses platform-level AI to identify frequently used scenarios and trigger translation optimization efficiently. HONOR has improved 16% of the average boot-up time[1] with translation optimization across a diverse array of Windows applications. Currently, HONOR has optimized a total of the Top 14 applications across six major categories, including browsers, online meetings, media, office, social software and tools.

HONOR will provide details of the availability of the HONOR MagicBook Art 14 Snapdragon in the UK and Ireland in the near future.

Seamless AI Experiences Elevated by the Power of MagicRing

In the mobile AI era, seamless cross-OS connectivity will truly empower users to unlock AI everywhere. Unlike the manual point-to-point connections in traditional solutions, the HONOR MagicRing allows multiple devices of the same account to automatically connect with low power consumption.

The MagicRing not only connects devices but also connects services across the devices. The solution also enables users to use the same set of keyboard and mouse for multiple devices, receive calls and notifications on a device other than their smartphones, and control the smartphone’s camera on the PC. With the secure and smooth flow of services and information across devices, MagicRing makes multi-device AI experience easier. For example, as one of the typical scenarios of Windows on Snapdragon experience, Cocreator allows users to produce fantastic artwork with simple draws. Powered by MagicRing, users can seamlessly access Cocreator on their HONOR MagicPad 2, drawing AI masterpieces with their Magic-Pencil. In the Meanwhile, they can also use AI Eraser from HONOR Magic V3 on the HONOR MagicBook Art 14 Snapdragon to experience unparalleled levels of convenient mobile AI.

HONOR AI Agent: The First On-device AI Agent for the Open Ecosystem

The HONOR AI Agent is a revolutionary always-on personal assistant designed to enhance and simplify users’ daily lives. By intuitively understanding users’ requests and intentions through language analysis and UI awareness technology, the AI Agent that learns from their habits and device environment can intelligently make decisions across various apps and services. This capability allows it to automate complex tasks. HONOR demonstrated how to find and cancel unwanted app subscriptions across different apps with just a few simple voice commands on their smartphones.

As we look to the future, the HONOR AI Agent is poised to become the cornerstone of mobile AI, and it is anticipated to arrive with the HONOR Magic7 Series later this year in China. This innovation not only signifies a leap in technology but also heralds a new era where AI seamlessly integrates into our daily routines, enhancing everyday productivity and efficiency.

The World’s First On-device AI Deepfake Detection Technology

As the technology behind deepfakes becomes more sophisticated, the potential for misuse, including identity theft and the spread of disinformation, grows significantly. HONOR’s on-device AI Deepfake Detection represents a groundbreaking solution designed to protect users from the increasingly prevalent threat of deepfakes. This innovative detection system employs advanced algorithms to meticulously analyze various elements, including pixel-level synthetic imperfections, border compositing artifacts, inter-frame continuity, consistency in face-to-ear hairstyle, and the positioning of synthetic traces. By examining these characteristics, the technology can accurately identify manipulated content, distinguishing between genuine media and deceptive alterations.

Bumble rolls out the Deception Detector: AI technology to tackle scams, spam and fake profiles

Bumble, the women-first dating app, has announced today its latest steps to tackle scams, spam and fake profiles, with the introduction of the Deception Detector™. The feature uses Artificial Intelligence (AI) to assess the authenticity of profiles and connections before members even see them, so singles can spend less time playing detective and more time focused on meaningful connections.

Research from Bank of Ireland in 2023 found that 82% of people in Ireland are targeted by fraudsters online at least once per month**, and Bumble recognises the lasting negative impact the risk of scams can have on our everyday lives. Along with machine learning to assess the authenticity of connections on the Bumble app, the feature is supported by a dedicated team to prioritise a safe and empowering community.

Within the first two months of the technology’s introduction, Bumble saw reports of spam, scam, and fake accounts reduced by 45%, and of those accounts identified as spam/scam profiles, Bumble Inc.’s testing showed that Deception Detector™ supported in blocking 95% of these accounts automatically, addressing one of the biggest concerns for people dating online*.

Lidiane Jones, CEO at Bumble Inc. said, “In recent years, the online landscape has evolved significantly and we see a growing concern about authenticity. Bumble Inc. was founded with the aim to build equitable relationships and empower women to make the first move, and Deception Detector™ is our latest innovation as part of our ongoing commitment to our community to help ensure that connections made on our apps are genuine.”

“With a dedicated focus on women’s experience online, we recognise that in the AI era, trust is more paramount than ever. We are being thoughtful about how to best use new models to reduce the anxiety of making connections and support our community, with AI standing as a main area of focus.”

The Deception Detector™ is Bumble’s latest step to combat bad behaviour online. Bumble was the first to introduce profile verification and launched Private Detector, a feature that uses artificial intelligence (AI) to automatically detect and blur unsolicited nude images.

Bumble has also recently introduced policies to address body shaming, cyberflashing and most recently, updated the Community Guidelines to prohibit any attempts to artificially influence connections, matching, conversations, or engagement through the use of automation or scripting.

Bumble continues to encourage the community to use the Block + Report tool to report any behaviour that makes them feel uncomfortable or unsafe so that action can be taken.

For more information on Deception Detector™ please visit link here.

Detection Technology launches high-resolution and high-speed TDI-cameras to enhance in-line battery inspection

Detection Technology, a global leader in X-ray detector solutions, is broadening its LDA (linear detector array) offering that is based on TDI (time delay integration) technology to enhance in-line battery inspection. The company has launched X-Scan T02 cameras, which come with unique high-resolution, high-speed CMOS (complementary metal oxide semiconductor) sensor design and upgraded front- and back-end electronics to maximize the benefits of industrial inspection to its fullest.

”The X-Scan T02 series combines the advantages of X-ray flat panel detectors (FPD) and line scanners. It features superior image quality as FPDs, and fast scanning speeds associated with LDAs. Very high resolution and high speed make it an ideal solution for in-line industrial inspection that values the most accurate detection of the smallest quality issues, fast product throughputs, and maximized production line up-times,” says Tomi Fält, Director, Product Management, at Detection Technology.

X-Scan T02 is a perfect match for the inspection of different types of battery cells and battery modules at different stages of manufacturing processes. It is designed and optimized for battery inspection of electric vehicles to cover all types of battery cells such as cylindrical, prismatic, and pouch cells with Li-Ion and other commonly used battery chemistries. TDI-boosted line-scan modality enables the rapid and accurate inspection of placement and alignment of laminated electrode layers and other critical features without imaging distortion or projection errors.

Furthermore, the X-Scan T02 series is fitted for quality inspection of applications where very high spatial resolution is critical. Examples of such applications are high-value automotive, aerospace, and electronic components, parts and assemblies, and food and pharmaceutical goods.

The X-Scan T02 features a CMOS sensor with a 50 µm pixel size to enable high sensitivity and spatial resolution with low X-ray doses. Typically, spatial resolution that is dependent on magnification measures a few micrometers. Furthermore, X-Scan T02 enables fast scanning speeds of up to 20–30 kHz line rates. Depending on the cell size, this means 1–1.5 m/s object movement or 1,000–2,500 parts-per-minute speed with TDI-processed native image data resolution.

The series is equipped with smart features and configuration options, which enable object movement to be further sped up, or to multiply parts-per-minute inspection rates in the process. Such features and options include digital TDI operating modality, bidirectional scanning operation, defect pixel mapping and correction functionality, region of interest configuration, programmable ROI mode, and flexible pixel binning options.

“We are particularly proud that the X-Scan T02 comes with the 10 Gigabit Ethernet interface and is compatible with the GigE Vision Protocol. This enables robust, reliable, and fast communication between the detector and X-ray systems, and supports third-party software platforms without the need to have a specific image grabber hardware on the system computer.”

The series operates in the energy range of 20–200 kV to cover different X-ray imaging applications. Its industry-standard mechanics support easy system integration and upgrades. The product family has active area length options of 200 and 400 mm and a compact size. In addition, its high resolution enables the system configurations to be shrunk even further as there is less need for high magnification.

The product family has the highest level of integration and a simplified system design. This delivers digitally enhanced image quality, total cost savings, minimized risks, longer lifetimes, and maximized up-times to original equipment manufacturers (OEM) and system integrators. Furthermore, the series is equipped with state-of-the-art radiation hardness.

The X-Scan T02 camera family will be available to order by the end of 2023 and deliveries will start in 2024. For speeding up design and system integration, world-class engineering support and a customer evaluation unit are available. The company will showcase the benefits and the key features of X-Scan T02 at Control, the international trade fair for quality assurance, in Stuttgart, Germany on 9–12 May 2023.

Check Your Drink releases results of a nationwide survey on drink spiking

Ireland’s first drink spiking detection test, CYD Check Your Drink, has released the results of a nationwide survey on drink spiking, shedding light on the issue’s prevalence and impact on the Irish population.

According to the survey, more than half of respondents, at 57%, know someone who has been spiked in the past, while nearly 19% of respondents self-reported being spiked themselves. When asked about their feelings towards drink spiking, 54.15% of people said they were more afraid of being spiked now than in the last five years, while 30.77% reported having the same level of concern as before.

The survey indicates that the Irish population is more aware of drink spiking issues than before and recognises the need to address the problem.

Commenting on the research, Owen McKeon, CEO of Phrassa, CYD Check Your Drink states: “Our research clearly shows that drink spiking is a pervasive problem in Ireland, and it’s time we took action. We are extremely proud to offer a simple and effective solution that can help people protect themselves and prevent becoming victims. It’s our hope that Check Your Drink’s self-test kits will become a standard part of any night out, ensuring that everyone can enjoy a safe and positive social experience.”

Review – Neos Smart Leak and Smart Motion kit. #NeosSmartKits #Security #Tech

We have reviewed the much welcomed Neos  Security Camera last year here on techbuzz but they have some new additions to the family and are building an ecosystem and going forward Neos should look into outdoor camera to complete this and it would be an affordable win for the consumer.  Why I say this is  I have several systems in operation here and I just want one complete one with ONE app and not several but due to timing of products and availability and so it has not happened just yet and we have more new home security packages here to review and it is good timing due to the darker evenings and mornings soon approaching and due to the pandemic we all need to recheck out home security status.

Most of us have been at home and now work from home but there is demographic heading back to work and perhaps have forgotten to recharge the batteries and check their security system so go do it now. I have had this product prior release date and being a beta tester ran into issues but it is how it is so I could not give a real opinion but now I have the problems fixed I can and it is a win win for the consumer and simplicity is also a key factor in setting up..

 

 

These packs are great although some different configurations might be better to enhance the overall experience you could cover your house downstairs with 3/4 door sensors and cameras however this depends on your set up and you could buy separately these are small discreet cameras but everyone’s house if different and to have all doors covered would require more than one camera even though the motion sensor can pick up motion. More cameras are better, Speaking of NEOS should look into outside your house, prevention is better than cure and I feel they will look into this area if they dont well I give up ,if someone gets in they will do what they have to do and leave and at a cost but if they can be caught outside it leaves options open.

The leak detectors offer more though similar to MINUT POINT which has no cameras and again good idea but with this there is no visual evidence at hand to capture intruders. Having the leak detection though gives you a chance to act on an alert and placing them in the right place is important, I have moved into a new house and had water marks on the wall in my kitchen on the extension but they have seemed to have stopped so I placed the leak sensor there for now to see if anymore leaking was detected as the builder said it is the house settling which is plausible so i ran a test leaving them on top of doors just to see and kept giving me high temp warnings, It has been warm but you can adjust the parameters to fix this,now they are placed under places known for leaks in general and all is fine …

 

 

Notifications are quick which is important and no lag seen here the entry sensor kits and pir work quite well and deliver on what they are made for, entry sensors are quite handy as they can indicate the obvious and if placed right can also indicate if someone is at your door or trying to gain access, again I bring up the exterior cameras or even sensors NEOS should look into. Overall though this is a really great purchase to invest in and can only get better over time building on their ecosystem.

 

The Smart Leak Sensor Kit  is designed to detect a single drop of water, preventing small leaks from turning into big problems. It also alerts you to unexpected changes to your home with built-in temperature and humidity sensors. The Smart Motion Kit can capture movements with the Neos Smart Motion Sensor and make any household item smart, from your cat flap to the cookie jar, with its contact sensor. Both kits integrate with the Neos SmartCam, converting it into a  bridge so you can connect all your devices wirelessly and manage them from a single app to check up on your home from wherever you are in the world.

Neos Smart Leak Sensor Kit features:

  • 3x Leak Sensor

  • Built-in Temperature Sensor

  • Built-in Humidity Sensor

  • 1x Smart Bridge

  • Built-in battery Life Indicator

 

Neos Smart Motion Kit features:

  • 2x Open/Close Sensor

  • 1x Motion Sensor

  • 1x Smart Bridge

  • Built-in battery Life Indicator

You can find out more about Neos and its smart home technology here: https://shop.neos.co.uk

NEOS sent us this to review with no copy approval, compensation or influence and are seeing this the same time as you.