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IndiaNDTV ·

Delhi Court Sentences Conman Sukesh Chandrasekhar to 8 Years for Impersonating SC Judge

A Delhi court has sentenced conman Sukesh Chandrasekhar to eight years in prison for impersonating a Supreme Court judge. The court described the case as 'profoundly disturbing' and qualitatively distinct from ordinary impersonation offences. Judges noted that the crime struck at the foundations of the judiciary, a core pillar of democratic governance. The sentencing order underscored the severity of undermining public trust in the country's highest court.

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ProgrammingDEV Community ·

AI Tool 'Day Three' Flags At-Risk Newborns Without Making Medical Decisions

A developer built Day Three, an AI-assisted maternal health tool, for the All Things Agentic Hackathon to address a critical gap in postnatal care in rural India. The system tracks mothers and newborns after discharge from health centres, sending follow-up prompts at WHO-recommended intervals — Day 1, 3, 7, 14, and 42 — and accepts responses via keypad, free text, or silence. When a danger sign is reported, the tool automatically books a clinic slot, alerts the on-call nurse, logs the case, and sends a Hindi SMS, all without human routing. Crucially, the AI is architecturally restricted from making clinical decisions: it can only flag concerns, while all diagnoses and symptom clearances must be confirmed by a human nurse. The prototype runs on Google Cloud Run with Firestore and Gemini, though the developer notes that no clinician has formally reviewed the rule set and all patient data used in testing is synthetic.

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TechnologyTechCrunch ·

Kalshi permanently bans George Santos over State of the Union wagers

Prediction market platform Kalshi has issued a lifetime ban against former congressman George Santos. The ban is related to betting activity connected to the State of the Union address. The disciplinary action follows by roughly two months a settlement that Santos reached with the Commodity Futures Trading Commission over related charges. The CFTC had previously brought formal charges against Santos in connection with the matter. Kalshi's move represents one of the more significant consequences Santos has faced in the prediction markets space.

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ProgrammingDEV Community ·

Physical Foundation Models Bridge Natural Language and Real-World Robot Actions

Researchers are developing Physical AI systems that translate high-level natural language instructions into precise robot actions by combining language understanding, vision, and environmental modeling. A simple command like 'bring me the bottle from the kitchen' requires a robot to decompose the task into multiple subtasks, including navigation, object detection, grasping, and delivery. Foundation models generate structured action plans rather than raw motor commands, which a robotics stack then converts into executable navigation and manipulation steps. The approach relies on closed-loop execution, where the system continuously plans, acts, observes, and replans to handle real-world uncertainties such as failed grasps or unexpected obstacles. Safety is enforced through explicit constraints like collision checking, velocity limits, and human approval for sensitive actions, with performance measured across metrics including task completion rate, recovery rate, and execution latency.

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ProgrammingDEV Community ·

How Vision-Language-Action Models Are Reshaping Autonomous Robot Decision Systems

Vision-Language-Action (VLA) models aim to bridge the gap between visual perception, language instructions, and physical robot actions, replacing traditional segmented pipelines. Rather than feeding raw motor commands to a language model, the recommended approach uses a structured action interface with discrete commands like PICK, MOVE_TO, and PLACE to maintain a safety boundary between AI reasoning and hardware control. Developers are advised against placing language models directly inside millisecond-level motor-control loops unless the system is explicitly designed and validated for such timing demands. Key performance metrics for VLA systems include task success rate, instruction-following accuracy, action validity, latency, and safety violation tracking. The overall guidance emphasizes that VLA systems work best when integrated alongside deterministic robotics infrastructure rather than as a wholesale replacement for it.

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ProgrammingDEV Community ·

Model Predictive Control Explained for Real-Time Robot Navigation

Model Predictive Control (MPC) is a technique that repeatedly predicts a robot's future states and selects the best control inputs over a short time horizon. Unlike traditional controllers, MPC applies only the first action in an optimized sequence before recalculating, allowing continuous adaptation. Its cost function balances path tracking accuracy, control effort, motion smoothness, and obstacle avoidance. While more computationally demanding than simple feedback controllers, MPC handles vehicle dynamics, input constraints, and obstacles in a unified framework. It is especially suited for robots where basic point-to-point control falls short, though fallback behavior is essential if the optimizer misses its deadline.

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ProgrammingDEV Community ·

A* vs RRT: A Practical Guide to Robot Motion Planning Algorithms

Two widely used motion planning algorithms in robotics are A* and RRT (Rapidly-exploring Random Tree), each suited to different environments and use cases. A* works best on grid or graph-based maps by combining actual travel cost with an estimated cost to the goal, making it effective for mobile robots navigating structured spaces. RRT, by contrast, builds a tree by randomly sampling configurations and steering toward them, making it better suited for high-dimensional or continuous spaces such as robotic arm joint planning. While basic RRT can yield inefficient paths, improvements like RRT* and goal-biased sampling help address this limitation. Regardless of the algorithm used, engineers must validate collision models, joint limits, and velocity constraints before a controller can safely execute the planned path.

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ProgrammingDEV Community ·

How Autonomous Robots Use Global and Local Path Planners to Navigate Safely

Autonomous robot navigation relies on two complementary systems: a global planner that maps out a full route using algorithms like A* or Dijkstra, and a local planner that reacts in real time to nearby obstacles, people, and dynamic changes. The global planner works from a broader map to determine an overall path from start to goal, while the local planner continuously adjusts velocity and trajectory based on sensor data. Both planners use costmaps to represent the environment, assigning higher costs to hazardous or undesirable areas. When no safe local trajectory exists, a robust system must also include explicit recovery behaviors to avoid deadlocks or collisions. Together, these two layers operate at different spatial and temporal scales to enable reliable, adaptive autonomous navigation.

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ProgrammingDEV Community ·

What Backend Frameworks Actually Do: A Deep Dive Into Core Mechanics

A technical explainer published on DEV Community breaks down the common problems that backend frameworks like Express, Django, Rails, Laravel, Spring, Gin, and FastAPI are all designed to solve, regardless of their differing syntax or ecosystems. The article traces the lifecycle of a single HTTP request from the moment it hits a server through routing, middleware processing, business logic, database interaction, and response formatting. It explains that frameworks exist to standardize these recurring patterns so developers avoid rebuilding the same infrastructure on every project. Key internals covered include how routers use exact string matching, pattern matching, or radix-tree structures to map requests to handlers, and how the framework's responsibility begins only after the underlying runtime or server parses the raw HTTP request. The piece argues that understanding these mechanics makes choosing between frameworks a more informed, deliberate decision rather than a matter of language preference alone.

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ProgrammingDEV Community ·

EU classifies ChatGPT as a search engine, triggering DSA compliance rules for startups

The European Commission has officially classified ChatGPT as a search engine under the Digital Services Act (DSA), extending the law's obligations to any company using OpenAI's API. Businesses must now publish transparency pages, log user queries, appoint a compliance officer, and implement misinformation filters, among other requirements. Non-compliance can result in fines of up to 6% of global revenue or €10 million, whichever is higher. The rules apply regardless of whether ChatGPT is used in a chat or search-style interface, as the EU considers any information-retrieval response subject to DSA oversight. Startups are advised to begin compliance steps immediately, with some deadlines as short as seven days from the ruling.

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ProgrammingDEV Community ·

Semrush Study: ChatGPT and Google AI Mode Show Different Brand Visibility Patterns

A new mini study by Semrush reveals that brand visibility in ChatGPT and Google AI Mode can differ significantly, meaning strong presence on one platform does not guarantee the same on the other. The research compared brand mentions, cited sources, and competitive landscapes across 22 industries, finding that ChatGPT tends to surface a broader range of brands while Google AI Mode may concentrate on a different mix of domains. Semrush's findings are drawn from an analysis of around 126 million real US AI search prompts spanning ChatGPT, Google AI Mode, Google AI Overviews, and Gemini. As AI-generated answers increasingly shape how consumers discover brands and products, the study warns that relying solely on conventional search rankings may overlook a growing discovery channel. Semrush recommends businesses assess each AI platform separately and map how relevant customer questions are answered across different AI environments.

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IndiaNDTV ·

Judicial Commission Completes Probe Into Indore's Bhagirathpura Contaminated Water Deaths

A one-member judicial commission has concluded its investigation into the contaminated water tragedy in Indore's Bhagirathpura area. The probe was led by retired Madhya Pradesh High Court judge Justice Sushil Kumar Gupta. The commission's findings have been compiled into a comprehensive 600-page report. The report is expected to identify those responsible for the deaths caused by the consumption of contaminated water in the locality.

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IndiaTimes of India ·

Rohit Sharma to Make TV Debut with 'Family Full House' on September 19

Indian cricket star Rohit Sharma is set to make his television debut with a new show titled 'Family Full House', scheduled to air on September 19, 2026. The announcement has generated excitement among fans who are eager to see the cricketer in a non-sporting role. Rohit continues to remain active in One Day International cricket, though he has stepped away from other formats of the game. The channel broadcasting his show will also feature popular programs such as 'Kaun Banega Crorepati' and the 'Indian Game Show'.

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IndiaTimes of India ·

Rapper Badshah and Isha Rikhi separate after five months of marriage

Indian rapper Badshah and actress Isha Rikhi have announced the end of their marriage after months of speculation. The couple confirmed the separation through matching statements posted on their respective Instagram Stories. This was Badshah's second marriage; he has a daughter from his first. The pair have asked the public and media to respect their privacy during this time and refrain from further speculation about their personal lives.

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ProgrammingDEV Community ·

How React Lazy Loading Improves Web Performance Without Slowing Initial Load

Lazy loading is a technique that defers the loading of images until they are needed, rather than loading all assets when a page first opens. In React applications, this can be implemented natively using the HTML loading attribute, which requires no additional JavaScript libraries. Developers are advised to apply lazy loading selectively — only to below-the-fold images — while ensuring hero images and other critical above-the-fold content load immediately. Image optimization through compression, proper dimensions, and modern formats like WebP or AVIF should complement lazy loading, as the technique does not reduce file size on its own. For more advanced use cases, third-party libraries such as React Smart Image offer additional features including blur placeholders, retry handling, and aspect-ratio support.

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TechnologyArs Technica ·

Trump Pressures FCC to Penalize NBC Journalist Over Primary Endorsement Coverage

President Donald Trump has called on the Federal Communications Commission to take action against NBC News journalist Kristen Welker. The dispute stems from Welker's on-air characterization of Trump's primary endorsement record as yielding mixed results. Trump took issue with this description, viewing it as inaccurate or unfair coverage of his electoral influence. The move raises concerns about potential political pressure being applied to a federal regulatory body to target a member of the press. Critics see the demand as an attempt to use government authority to punish unfavorable media coverage.

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IndiaNDTV ·

Tamil Nadu Police Hands 6 Crypto Fraud Cases to Economic Offences Wing

Tamil Nadu Police has transferred six cryptocurrency fraud cases to its Economic Offences Wing for further investigation. Preliminary findings suggest that investors were allegedly directed to make payments via cash, G-Pay, or UPI transfers. A portion of the collected funds was reportedly converted into Tether (USDT) and deposited into FQL and VG digital wallets. The move signals a more specialised approach to tackling the growing complexity of crypto-related financial crimes in the state.

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ProgrammingDEV Community ·

How to Build Loop Logic in JavaScript by Analyzing Patterns First

A structured approach to solving JavaScript loop problems focuses on understanding the pattern before writing any code. Developers are advised to first identify the number of rows, then examine how elements like spaces and stars change across each row. Using a right-aligned triangle as an example, the relationship between row number and element count can be expressed through loop variables such as i and n-i. Dry-running the logic manually for a few iterations helps verify correctness before execution. The broader goal is to develop a habit of breaking repetitive problems into smaller parts rather than memorizing specific solutions.

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IndiaNDTV ·

Bangladesh Moves Closer to Buying Chinese J-10CE Jets and Attack Helicopters

Bangladesh and China have finalized preliminary plans that bring Dhaka closer to formal negotiations on defense and infrastructure deals. The discussions include a potential purchase of J-10CE fighter jets and attack helicopters from China. The two countries also advanced plans related to the Teesta River, a significant water-sharing and development project. These developments signal a deepening of strategic and economic ties between Bangladesh and China.

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