Motorola Launches Moto Pad 70: Thinnest 5G Tablet with 12.1” 2.5K Display, AI Tools, and Moto Pen at ₹29,999*

•The moto pad 70 features the segment’s thinnest and lightest 5G tablet, design at just 6.29mm thin and 530g, making it the perfect companion for productivity, learning, and entertainment on the go.

•Featuring a stunning 12.1" 2.5K display with up to 800 nits brightness, 96% DCI-P3 colour gamut, and quad speakers with Dolby Atmos®, delivering an immersive viewing and entertainment experience

•Equipped with AI-powered writing tools, AI Notes, Circle to Search with Google, and the moto pen included in the box, makes notetaking, learning, and creativity smarter than ever

•Enhanced productivity with the moto folio keyboard featuring magnetic attachment, delivering a PC-like screen and keyboard experience wherever you work

•Powered by the MediaTek Dimensity 6400 processor with 5G connectivity, delivering responsive performance, smooth multitasking, and buffer-free streaming

•Backed by a 10200mAh battery with support for 68W TurboPower™ charger, keeping users productive and entertained throughout the day

The moto pad 70 will go on sale starting 15th August 2026 on Flipkart, Motorola.in, and leading retail stores across India at an effective launch price starting at just ₹29,999* for 8GB+256GB Storage Variant.

Mumbai, 8th August 2026: Motorola, a global leader in mobile technology and innovation and one of India's leading AI smartphone brands, today announced the launch of the all-new moto pad 70, a premium tablet designed to empower users with the perfect balance of portability, productivity, creativity, and entertainment. Designed as the thinnest and lightest 5G tablet, the moto pad 70 combines an immersive 12.1" 2.5K display, intelligent AI-powered writing tools, the precision of the moto pen, responsive MediaTek Dimensity 6400 performance, and a long-lasting 10200mAh battery in an ultra-portable design along with the all metal body. Whether users are studying, working, creating, or enjoying entertainment on the move, the moto pad 70 delivers a smarter and more versatile tablet experience.

Designed for users who are always on the move, the moto pad 70 redefines portability with its ultra-thin and incredibly lightweight design. Measuring just 6.29mm thin and weighing only 530g, it is the thinnest and lightest tablet in its segment, making it effortless to slip into a backpack or handbag and carry anywhere. Available in the elegant PANTONE™ Titan Sea Angel finish, the tablet blends premium aesthetics with practicality, making it equally suited for classrooms, coffee shops, libraries, offices, and everyday life on the go.

Complementing its sleek design is a stunning 12.1" 2.5K Display that delivers exceptional clarity, vibrant colours, and an immersive viewing experience. Featuring 96% DCI-P3 colour gamut, up to 800 nits brightness, and TÜV Rheinland certification, the display offers sharp visuals while remaining comfortable on the eyes during extended usage. Whether users are streaming their favourite content, attending online classes, reading documents, or gaming, the display ensures an outstanding visual experience. Enhancing the entertainment further are quad speakers, tuned by Dolby Atmos® and Hi-Res Audio, delivering rich, immersive sound for movies, music, games, and more.

With Fastest5G connectivity, moto pad 70 keeps you connected at blazing-fast speeds wherever you go. Whether you’re working on the move, streaming your favourite content, attending a video call, or simply staying in touch with what matters, you can enjoy a seamless connected experience without relying on Wi-Fi. With the freedom of 5G, moto pad 70 is designed to keep up with your life—at home, at work, or on the go.

The moto pad 70 also introduces a smarter way to learn, create, and stay productive with its comprehensive suite of AI-powered writing tools. Paired with the moto pen, included in the box, users can effortlessly write, sketch, organise notes, and bring ideas to life with precision and ease. Intelligent features such as AI Writing Tools and AI Notes help users generate writing suggestions, rewrite content for improved clarity, and transform lengthy notes into concise summaries, enabling students and professionals to accomplish more in less time.

Further enhancing productivity are Google AI experiences such as Circle to Search with Google, allowing users to instantly search, translate, or learn more about anything visible on the screen without switching between applications. Users can also leverage Google Gemini to brainstorm ideas, simplify complex topics, generate content, and receive contextual assistance through text, voice, photos, or the camera. Combined with the precision of the moto pen, these intelligent capabilities make the moto pad 70 a powerful companion for learning, creativity, and everyday productivity.

The moto pad 70 is also designed to deliver a seamless productivity experience with support for the moto folio keyboard, enabling users to transform their tablet into a versatile workstation in seconds. The sleek and lightweight keyboard effortlessly snaps into place with its magnetic attachment, ensuring a secure fit while remaining easy to carry wherever work or study takes users. Thoughtfully designed with a dedicated holder for the moto pen, the folio keyboard enables users to type comfortably, take notes with ease, and stay productive on the move, bringing a PC-like screen and keyboard experience to a lightweight tablet form factor even with all metal body that brings incredible durability.

Powering the experience is the MediaTek Dimensity 6400 processor, engineered to deliver seamless multi-tasking performance across productivity, entertainment, and everyday multitasking. Whether users are switching between multiple applications, attending online classes, streaming high-definition content, or browsing the web, the processor ensures smooth and reliable performance throughout the day. Paired with 5G connectivity on supported variants, the moto pad 70 enables faster downloads, seamless video calls, and uninterrupted connectivity wherever users go. The tablet also offers in-built 8GB RAM and up to 256GB storage, expandable by up to 2TB via microSD card, providing ample space for documents, apps, photos, videos, and creative projects.

Keeping pace with demanding schedules is the 10200mAh battery, designed to power everything from study sessions and workdays to binge-watching and gaming. Users can enjoy up to 13 hours of YouTube streaming, allowing them to stay entertained and productive without constantly reaching for the charger. When it's time to recharge, within the box 68W TurboPower™ charger helps users get back to what matters quickly, offering up to two hours of battery life in just 10 minutes of charging.

Further enhancing the experience is Smart Connect, Motorola's connected ecosystem that enables seamless collaboration between compatible smartphones, tablets, and PCs. Users can effortlessly share files, synchronise content, and continue tasks across devices without interrupting their workflow. Whether moving presentations between devices, accessing photos instantly, or responding to messages while working, Smart Connect creates a more connected and efficient digital experience.

Speaking on the launch, Mr. T.M. Narasimhan, Managing Director, Motorola India, said, "At Motorola, we are committed to delivering meaningful innovation that makes technology more seamless and relevant to everyday life. With the launch of the new moto pad 70, we are bringing together an incredibly thin and lightweight design with the freedom of 5G connectivity, giving consumers the flexibility to stay connected wherever they go. Designed to seamlessly fit into their everyday lives, the moto pad 70 offers the perfect balance of portability, style and performance—whether users are working, learning, creating or staying entertained. We believe the moto pad 70 sets a new benchmark for what consumers can expect from a premium, portable 5G tablet in its segment."

Availability

The moto pad 70 will be available in 8GB + 256GB variant, with support for expandable storage up to 2TB via microSD card and comes in the elegant PANTONE™ Titan Sea Angel colour.

The moto pad 70 will go on sale starting 15th August 2026 on Flipkart, Motorola.in, and leading retail stores across India at an effective launch price starting at just Rs 29,999*.

Launch Price

moto pad 70 - 8/256 GB : Rs 33,999

Bank Offer

Instant Bank discount upto Rs. 4000 from leading banks

Net Effective Price

moto pad 70 - 8/256 GB : Rs 29,999*

Disclaimers:

~ As Per TechArc India’s Leading AI Smartphone Brand Report 2025

*Price including the special limited period offer

About Lenovo & Motorola

Lenovo is a US$62 billion revenue global technology powerhouse, ranked #217 in the Fortune Global 500, employing 77,000 people around the world, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company by further expanding into growth areas that fuel the advancement of ‘New IT’ technologies (client, edge, cloud, network, and intelligence) including server, storage, mobile, software, solutions, and services. This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992)(ADR: LNVGY). Motorola Mobility LLC was acquired by Lenovo Group Holdings in 2014. Motorola Mobility is a wholly owned subsidiary of Lenovo and is responsible for designing and manufacturing all Moto and Motorola branded mobile handsets and solutions.

Detailed Specifications

Spec	Detail
Operating System	Android 16 OS upgrade until Android 17, 3 years security patches updates
System Architecture / Processor	MediaTek Dimensity 6400 Octa-core processor
Memory + Storage (GB)	8+256 Expandable MicroSD card up to 2 TB
Body	Rounded edge, all metal design
Dimensions	278.80mm x 181.05mm x 6.29mm (Wi-Fi) 278.80mm x 181.05mm x 6.49mm (5G)
Weight	530g
Display	12.1” (30.73cm)
Display Technology	90Hz refresh rate 600nits, 800nits HBM 96% DCI-P3
Display Resolution	2.5K LCD (2560*1600)
Battery	10200mAh (typ. capacity)
Charging	Support of 45W TurboPower charging
Rear camera	13MP AF
Front camera	8MP FF
Audio	Quad speakers tuned by Dolby Atmos
Microphones	2 microphones
Headset jack	No
Bluetooth® technology	Bluetooth® 5.2
5G connectivity	GSM: 850/900/1800/1900 UMTS: B1/2/4/5/6/8/19 FDD- LTE: B1/3/5/7/8/18/19/20/26/28(a+b) TDD- LTE: B38/40/41 NR Sub-6: n1/3/5/7/8/20/26/28/38/40/41/71/77/78 HPUE PC2: n77/n78
Wi-Fi	802.11 a/b/g/n/ac: Wi-Fi 5, 2.4G+5G
USB	USB Type-C™ 2.0 (Charging / Audio)
SIM	Micro-SD slot
Sensors	Accelerometer Sensor Ambient-light Sensor Hall sensor
Inbox Accesories	moto pen moto pen + moto keyboard pack
Colors	PANTONE Sea Angel
Device Name	moto pad 70

India's AI Pilots Need a Frontline Failure Log Before They Scale

India is moving quickly from AI ambition to deployment. The IndiaAI Mission's Safe and Trusted AI work now spans 13 responsible-AI projects, 58 centres of excellence (CoEs) and 27 data and AI labs. A new innovation challenge is offering promising systems a path into MSME governance and AYUSH-enabled public health, including structured pilot support and the possibility of multi-year government contracts.

That is exactly the kind of momentum India needs. But the hard part begins after a demonstration succeeds.

A pilot can look impressive because the data is clean, the users are motivated and the exceptions are quietly handled by the people running the test. Production is different. Real users switch between languages. Records are incomplete. Policies change. A small error travels into a customer decision, a benefit application, a health recommendation or a business filing. The tool may save ten minutes at the front end while creating an hour of checking and correction somewhere else.

India's startups and public agencies therefore need a simple discipline before they scale an AI system: a frontline failure log.

The pilot-to-production gap

Most organisations already collect technical metrics such as response time, uptime and model accuracy. Those numbers matter, but they often miss the moment when a system fails in actual work.

Consider an AI assistant used to help a small business identify a government scheme. The model may retrieve the right programme but misunderstand the applicant's industry classification. A staff member catches the mistake, rewrites the query and gives the correct answer. The interaction may still be recorded as successful. Yet the correction reveals something important about the data, the prompt, the workflow and the training users need.

The same problem appears in health, finance, hiring and customer service. Human intervention makes the system appear more reliable than it is. Unless that intervention is recorded, leaders cannot see the true cost of adoption or the conditions under which the tool becomes unsafe.

India's AI Governance Guidelines rightly emphasise trust, people-first design, fairness, accountability, understandable systems and resilience. A frontline failure log turns those principles into operational evidence.

What the log should capture

The log does not need to become another compliance platform. A lightweight form can capture seven fields.

First, record the real task. "Drafted a reply" is too vague. Note whether the system interpreted an eligibility rule, summarised a medical history, classified a supplier, answered a customer or recommended an action.

Second, record the operating conditions. Was the source current? Was the user speaking Hindi, Tamil, Bengali or a mix of English and a regional language? Was a scanned document difficult to read? Did the system lack a crucial field?

Third, record what the system did. The point is not to save every word of every interaction. It is to capture the decision or output that mattered.

Fourth, record the human intervention. Did someone correct a fact, reject a recommendation, add missing context, change a category or stop the workflow entirely?

Fifth, record the downstream consequence. Did the error merely create awkward wording, or could it have delayed a payment, misdirected an applicant, exposed personal data or produced an unfair result?

Sixth, record the rework. Count the minutes spent checking, correcting, escalating and repairing the result. This is the difference between gross time saved and reliable work completed.

Seventh, name the owner and next action. Someone must decide whether the response calls for better training, fresher data, a changed workflow, a narrower use case or a stop rule.

A scaling asset for founders

For startups, the log is not an admission that the product is weak. It is evidence that the company understands the environment in which its product must operate.

A founder can use the data to distinguish a one-off user mistake from a recurring design problem. Product teams can see whether failures cluster around a language, a document type, a customer segment or a policy change. Sales teams can describe operating limits honestly. Investors and public-sector buyers can evaluate whether the system is becoming more dependable instead of relying on a polished demonstration.

The log also creates a better learning loop for employees. People are more likely to report a near miss when leaders treat it as useful evidence rather than proof that someone used the tool badly. That psychological safety matters because the most valuable information often comes from the employee who notices that the answer looks plausible but is wrong.

India's recent AI governance architecture, including the new inter-ministerial AI Governance and Economic Group, recognises that innovation, labour-market effects and public trust must be handled together. Frontline evidence is where those priorities meet.

Scale what survives reality

India does not need to slow its AI ambitions. It needs to make scaling more selective.

Before a pilot expands, leaders should be able to answer basic questions. What kinds of failures occurred? Who caught them? How much hidden work did correction require? Which users or communities faced the greatest risk? Did the failure rate fall after changes were made? Is there a clear human owner when the system is uncertain?

A pilot that cannot answer those questions is not ready for scale, no matter how impressive the demo appears.

India's advantage will not come only from building more models or funding more pilots. It will come from learning faster than others about how AI behaves in the messiness of real work. A frontline failure log gives founders, agencies and employees the evidence to do that—and turns responsible AI from an aspiration into a practical operating habit.

AUTHOR – Gleb Tsipursky, PhD, a behavioral scientist, CEO of Disaster Avoidance Experts, and author of The Psychology of AI Adoption at Work: From Resistance to Results (Georgetown University Press, 2026). https://disasteravoidanceexperts.com/aibook

Tech Mahindra Partners with IISER Pune’s I‑HUB QTF to Advance Indigenous Trapped‑Ion Quantum Computing in India

Tech Mahindra (NSE: TECHM), a global leader in technology consulting and digital solutions, has announced that it haspartnered with the I-HUB Quantum Technology Foundation (I-HUB QTF), hosted at the Indian Institute of Science Education and Research (IISER) Pune, to accelerate India’s indigenous trapped-ion quantum computing capabilities. I-HUB QTF is currently developing a full-stack 20-qubit quantum computer based on the trapped-ion platform.

For an uninitiated, "Trapped‑ion quantum computing" is a leading architecture where individual atomic ions are suspended in electromagnetic fields and manipulated with lasers to serve as qubits. It is considered one of the most accurate and scalable approaches to building universal quantum computers.

As part of this collaboration, Tech Mahindra and I-HUB QTF will co-develop middleware for the trapped-ion quantum computer. The project is expected to be completed by December 2026, with commercialization activities to follow. This middleware will enable seamless communication between quantum hardware and control electronics, ensuring efficient execution of quantum workloads. Tech Mahindra will leverage its engineering expertise to build a scalable software foundation for the platform.

The partnership aims to democratize access to indigenous quantum infrastructure for Indian researchers, startups, students, enterprises, and strategic sector innovators. This will allow users to experiment, build skills, and develop applications in areas such as drug discovery, logistics, cryptography, and defence.

Nikhil Malhotra, Chief AI & Innovation Officer at Tech Mahindra, stated, "Quantum computing can unlock transformative opportunities across industries and strategic sectors. To realize this potential for India, we need strong indigenous capabilities that combine advanced research with scalable engineering. Through our partnership with I-HUB QTF, we are merging scientific expertise with engineering excellence to accelerate India’s trapped-ion quantum ecosystem and deliver future-ready solutions.”

Quantum computing is poised to amplify AI by solving highly complex problems beyond the reach of classical systems. As India strengthens its sovereign AI capabilities, indigenous quantum infrastructure will be critical in advancing research, fostering innovation, and enabling next-generation enterprise applications. The platform will support algorithm development, quantum machine learning (QML), and post-quantum cryptography (PQC), while serving as a training ground for researchers, students, startups, and technology professionals.

Kunj Tandon, CEO of I-HUB QTF, added:
“Quantum technologies are strategically vital for India. Moving them from lab to market requires deep-tech product development and strong industry-academia collaboration. Partnering with Tech Mahindra brings proven engineering software expertise, helping us build a robust quantum ecosystem for the country.”

I-HUB QTF continues to advance trapped-ion quantum computing technology in India. Once operational, the facility will be opened to the Indian community for industrial and academic use, significantly enhancing the nation’s quantum computing capabilities.

India Commits $2.5 Billion to Scale Biogas, Driving Clean Energy Transition

India has approved the ₹23,731 crore ( ~ $2.5 billion) GOBARdhan National Circular lBioenergy Scheme, aiming to boost compressed biogas (CBG) production nearly tenfold between FY2026-27 and FY2035-36. This marks a major step in India’s clean energy transition, with assured demand, stable pricing, and infrastructure support for biogas plants.

Previously spread across four ministries, the scheme is now consolidated under the Ministry of Petroleum and Natural Gas for unified implementation.

The $2.5B GOBARdhan biogas scheme is a cornerstone of the country’s Atmanirbhar Bharat (self-reliance) vision, reducing dependence on imported LNG, creating rural income streams, and building a domestic clean energy industry worth an estimated ₹75,000 crore.

India currently imports ~50% of its natural gas; the scheme aims to reduce reliance on LNG imports. By reducing reliance on LNG imports through chokepoints like Hormuz, India insulates itself from global supply disruptions.

India imports ~50% of its natural gas, with 55–60% of LNG routed through the vulnerable Strait of Hormuz. By scaling compressed biogas (CBG) production nearly tenfold, the scheme substitutes imported LNG with domestic fuel.

Moreover, the Government estimates suggest savings of over ₹40,000 crore in foreign exchange over the next decade by cutting LNG imports.

India Approves $2.5 Billion Biogas Development

Key Highlights of the $2.5 Billion Biogas Push

• Scheme Name: GOBARdhan (Galvanising Organic Bio-Agro Resources Dhan)
• Budget: ₹23,731 crore (~$2.5 billion)
• Timeline: FY2026-27 to FY2035-36
• Objective: Increase domestic CBG production nearly 10x and reduce fossil fuel imports
• Administered Price: ₹2,110 per MMBtu for CBG, fixed for at least 10 years
• Blending Mandate: 3% blending in FY2026-27, 4% in FY2027-28, 5% from FY2028-29 onwards

Six Growth Engines of the Scheme

• Assured offtake: Mandatory procurement by city gas distribution companies
• Stable pricing: Long-term administered price framework
• Capital assistance: Up to ₹2 crore per tonne/day capacity for greenfield plants
• Pipeline infrastructure: Connecting CBG plants to gas networks
• Credit guarantee: Support for MSME-based projects
• Ecosystem challenge fund: Strengthening district-level implementation and feedstock chains

Impact on India’s Energy & Rural Economy

• Agricultural residue use: Converting ~500 million tonnes annually into clean fuel
• Farmer income: Organized procurement of paddy straw, press mud, and cattle dung
• Waste management: Municipal organic waste transformed into renewable energy and organic manure
• Energy security: Reduced dependence on imported LNG and fossil fuels
• Climate benefits: Lower greenhouse gas emissions and improved air quality

Risks & Challenges

• Feedstock aggregation: Ensuring reliable supply of biomass across regions
• Project viability: Synchronization between CBG plants and city gas distribution networks
• Private investment: Requires consistent policy enforcement

Quick Comparison

Feature	Before Scheme	With GOBARdhan
CBG Plants Commissioned	~216	Target: 10x growth
Pricing	Market-linked, unstable	₹2,110/MMBtu fixed for 10 years
Blending Obligation	None	3–5% mandatory blending
Farmer Participation	Limited	Organized procurement chains
Infrastructure	Fragmented	Integrated pipelines & credit support

In essence, GOBARdhan transforms waste into wealth, positioning India to achieve energy independence, rural prosperity, and climate resilience simultaneously.

L&T Showcases Indigenous Drone Breakthroughs at Manthan Demo Day in Bangalore

L&T Innovation Fund, L&T's Group-wide innovation platform, identifies, evaluates and scales emerging technologies that can create business value across the organisation.
- Within this broader innovation agenda, drones have emerged as a strategic focus area, driven by rapid advances in autonomy, artificial intelligence and unmanned systems. - Adoption is growing across defence, infrastructure, construction, logistics and public services.

L&T hosted Manthan - Drone Demo Day in Bangalore, bringing together 21 drone and uncrewed systems startups for live demonstrations. - The event enabled L&T teams to evaluate deployment-ready technologies, identify Proof of Concept opportunities and explore co-development and IP-led partnerships.

Key Highlights:

Unveiling of Vedh Mk1 and Chanakya by L&T Precision Engineering and Systems. - Vedh Mk1: High-altitude, runway-independent RPAS designed for challenging terrain. - Chanakya: Decentralised collaborative mission autonomy framework enabling coordinated operations across multiple unmanned platforms. - Both platforms developed entirely in India, reinforcing L&T’s indigenous defence and unmanned systems capabilities.

Market Context:

India’s UAV ecosystem projected to grow from USD 1.2 billion (2025) to USD 3.2 billion (2030). - Supported by initiatives like **Drone Shakti**, Production Linked Incentive schemes, and defence modernisation. - Opportunities for L&T to engage with startups, evaluate innovative solutions early, and accelerate deployment.

Product Portfolio

Vedh Mk1

High-altitude hybrid VTOL, runway-independent RPAS. - Launch/recovery from confined and unprepared sites including forward areas and high-altitude terrain. - Electro-optical and infrared payload with laser range finder for day/night ISR missions. - Supports artillery observation and fire correction. - Delivered as a complete operational system: air vehicle, containerised ground control station, command/data link, payload control, exploitation systems, ground support equipment, transport modules, and maintenance infrastructure.

Parameter	Vedh Mk1 Capability
Endurance	6 hours or more
Launch altitude	Greater than 4000 m AMSL
Ceiling altitude	Up to 5000 m AMSL

Chanakya

Collaborative Mission Autonomy Framework. - Enables heterogeneous swarms of aerial, ground, surface and underwater platforms to plan, allocate, execute and adapt missions collaboratively. - Features bio-inspired flocking algorithms for formation management and collision avoidance. - Mission autonomy layer dynamically reallocates tasks in real time. - Embedded video analytics unify target detection/tracking from multiple platforms. - Progressed from hardware-in-the-loop simulation to live flight demonstrations with quadcopters and fixed-wing UAVs. - Currently undergoing field validation under complex operational scenarios.