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Gemini’s Android app can now do all your research homework for you - Related to your, policy, 3, homework, this

Gemini’s Android app can now do all your research homework for you

Gemini’s Android app can now do all your research homework for you

This tool, which was previously restricted to the web, allows Gemini to create detailed reports on your behalf.

This also comes a few days after OpenAI launched its own deep research feature.

Google released its Deep Research tool for Gemini late last year, helping you get in-depth research done in minutes. The tool was only available on the web, but there’s good news if you want to use this feature on the go.

Deep Research is now widely available in the Gemini app for Android. Only one Android Authority team member reported seeing the feature on their phone, suggesting a gradual release.

This tool, which is restricted to Gemini Advanced clients, is identical to the web-based version. That means you have to first select the “[website] Pro with Deep Research” option from the drop-down menu up top. From here, you can enter your query, and the tool will show you an outline of the research it will create. You can either edit this outline/plan or tap “start research” to have Google sift through the web and build the research. This research will also offer reports, as you’d expect.

Google notes on its Deep Research support page that the research takes five to ten minutes to create, but that more complex reports can take longer. The corporation adds that you can leave the chat and then get a notification when the research is ready, and this is reflected in the Gemini app too.

Colleague Mitja Rutnik tried Deep Research at the time of its release and noted that he had “mixed feelings” about it. Mitja found that the tool fared more effective with broader and simpler topics like interior design and AI chatbots. However, he called it “useless” if you wanted to generate something like a stock market research for a given day.

Google isn’t the only business offering a tool like this. OpenAI followed in the search giant’s footsteps earlier this week by launching its own Deep Research feature. This is powered by the OpenAI o3 model and promises to generate a comprehensive research within 30 minutes.

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The best phone protection policy is now more expensive than ever

The best phone protection policy is now more expensive than ever

The monthly subscription plans now cost 50 cents more for all iPhone models.

The price hike does not affect fixed annual plans, which are only available through Apple’s online store.

Apple hiked the prices of its monthly AppleCare Plus subscription for iPhones this week. US buyers will now have to pay 50 cents more to get extended warranty, free repairs, and technical support for their devices.

The standard AppleCare Plus plan for the iPhone 16 will now set you back $[website] instead of $[website] a month. The 50-cent increase applies to all currently available iPhone models and affects both standard plans and AppleCare Plus with theft and Loss protection plans.

The price increase comes as Apple shifts focus from offering fixed-term plans for AppleCare Plus to a subscription-based model that automatically renews monthly or annually. the enterprise has already phased out one-time purchase plans in retail stores. However, buyers can still grab them from the enterprise’s online store for the time being.

Interestingly, the recent hike doesn’t affect prices of the fixed-term plans, service fees, deductibles, or AppleCare Plus plans for iPad, Mac, and other devices. If you’ve just bought yourself a shiny new iPhone and have been considering getting an AppleCare Plus subscription, you should grab the two-year plan from the corporation’s website instead of the monthly subscription. The fixed-term plan will cost more upfront, but it’s the more economical choice if you plan on using your new phone for at least two years.

AppleCare Plus is inarguably the industry’s best device protection plan, and alternatives from brands like Samsung and Google don’t even come close to the level of service it offers. However, it’s always been a bit pricey, and the recent hike, coupled with Apple’s decision to switch to a subscription-based model, could result in fewer buyers opting for its benefits.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
7.3%8.8%9.3%10.3%10.8%11.2%11.3%
7.3%8.8%9.3%10.3%10.8%11.2%11.3% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
10.6% 10.8% 11.1% 11.3%
10.6% Q1 10.8% Q2 11.1% Q3 11.3% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Smartphones42%8.7%
Mobile Applications26%14.5%
Mobile Infrastructure17%12.8%
Wearables11%18.9%
Other Mobile Tech4%9.4%
Smartphones42.0%Mobile Applications26.0%Mobile Infrastructure17.0%Wearables11.0%Other Mobile Tech4.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Apple24.3%
Samsung22.7%
Huawei14.2%
Xiaomi11.8%
Google Pixel5.4%

Future Outlook and Predictions

The Gemini Android Your landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the mobile tech sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing mobile tech challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of mobile tech evolution:

Battery technology limitations
Privacy concerns
Device interoperability issues

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

5G intermediate

algorithm

wearable intermediate

interface

platform intermediate

platform Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.