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The Future of Smartphones: 3 Trends you can’t miss – Selected

Always on the lookout for opportunities to help our ecosystem grow, we’ve been helping to highlight Huawei’s HMS App Up Innovation Contest, and had the opportunity to attend their annual Huawei Developer Conference 2020 earlier this month. The company presented a number of innovative and unique features of their upcoming smartphones, some that you might have missed.

According to the conference and our own research, there are 3 key points for mobile & app developers to be focused on in the upcoming years:

  • Secure Smartphones
  • Cross Device Smartphones
  • Human Factors Based UX Design

1. Secure Smartphones

With cyber attacks increasing each year, data protection is becoming a huge priority.  Using the highest device-end security level for user data is a must. One of the most heavily used technologies to secure e-wallets is Trusted Execution Environment (TEE). The Open Mobile Terminal Platform (OMTP) defines TEE as a set of hardware and software components that must meet one of two security levels (software only, and/or software and hardware attacks). The OMTP, which includes TEE standards, is hosted by our friends at the GMSA.

In a nutshell, using TEE standard technology combines all biometric data, payment data, key and lock screen passwords with a CC EAL5+ certification.

By providing cutting edge privacy and security capabilities, mobile phones can actually minimize the app permissions and tracking, provide better AI privacy protection, and increase sensitive permission usage of reminders.

Payment & Cybersecurity Events

2. Cross Device Smartphones

Nowadays multitasking is everything because we want things to be effective and efficient. Having more devices being able to “talk”  to each other would definitely make life easier. Because let’s be honest, when was the last time your phone and your tablet and your TV and your Sonos actually worked 100% flawlessly together?

Thus the emerging trend of cross device smartphone technology is already in process. Smartphones supporting 3 screens at a time – sounds nice, doesn’t it? A typical scenario might involve watching a video on a tablet, taking notes on a smartphone, and the ability to drag either content from one device to the other, or even a PC (with mouse and keyboard sharing ALSO enabled).

With such functionality, smart homes could be managed within one click, attending online classes and lectures would be simpler, and professional meetings could be more interactive.

Mobile Events

3. Human Factors Based UX design

Human factors-based UX design smartphones are something we will definitely be seeing more and more of in the future.

“… “perfect” is not a completed state but rather a process.” – Junwon Jung, Samsung UX Design Team

  • ART AOD – The “Always On Display” is evolving from static elements to user defined and infinitely customizable options. Building on existing “color catcher” technologies, users can use their camera to capture the scene around them, and integrated AI technologies will generate themes based on this color analysis.
  • Smart Multi-Windows – In addition to the cross device sharing mentioned above, users are being given more and more flexibility with how these windows should act/look like in any given set of user defined parameters. Ultimately these floating windows are bound to increase multitasking efficiency.
  • Notepad – with the help of this feature, users will be able to retrieve text directly from pictures and images, while turning photos into notes.
  • Image Privacy – as it has been already mentioned, security in smartphones these days comes first. Now, whenever transmitting any images, users can have ease of mind as they easily control all the confidential data they don’t want to share before sending their images.
  • 1080p HD Video Calls – users can make high quality video calls even in low-light conditions. Beauty mode, screen sharing and 360-degree background shifting makes it convenient and interactive for all users, anytime and anywhere.

UX Design Events

[Disclaimer: The Huawei Developer Conference was attended online by Startup Sesame Startup Scout Vivienne Tran. Startup Sesame, Sesamers, and all associated entities receive no compensation (financial or otherwise) from Huawei, and the opinions and information presented here may or may not represent those of Huawei.]

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Fundraising 4 hours ago

London-based AI laboratory Ineffable Intelligence has emerged from stealth with a $1.1 billion seed round at a $5.1 billion post-money valuation, the company confirmed on 27 April 2026. The financing is the largest seed round ever raised by a European company and one of the largest first-money-in rounds in the global history of artificial intelligence. The round was co-led by Sequoia Capital and Lightspeed Venture Partners. Participating investors included Nvidia, DST Global, Index Ventures, Google, and the UK Sovereign AI Fund, the British government’s recently established vehicle for backing strategic AI capacity on home soil. A bet on a different path to general intelligence Ineffable Intelligence was founded in 2025 by David Silver, the former Vice President of Reinforcement Learning at Google DeepMind and the principal architect of AlphaGo, AlphaZero and AlphaStar. He is joined by three further DeepMind alumni: Wojciech Czarnecki, Lasse Espeholt and Junhyuk Oh. All four have spent the past decade at the frontier of reinforcement learning research, the discipline behind some of the most consequential demonstrations of machine learning over the past ten years. The company describes its objective as building a “superlearner” — an AI system capable of acquiring knowledge directly from its own experience rather than from human-generated text or imagery. “Our mission is to make first contact with superintelligence,” Silver said in a statement accompanying the launch. “We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs.” The framing is a deliberate departure from the dominant industry trajectory. Most leading AI laboratories, including OpenAI, Anthropic and Google DeepMind itself, have built large language models trained primarily on the corpus of the internet, then refined that training with human feedback. Ineffable’s wager is that the marginal returns on scaling text-based pretraining are diminishing and that the next leap in capability will come from agents that learn endlessly from the consequences of their own actions, in much the same way AlphaZero learnt the game of Go without studying any human matches. Why $1.1 billion at seed The size of the round is unusual even by the inflated standards of the 2026 AI capital cycle. Two factors appear to explain it. First, frontier reinforcement learning at the scale Ineffable describes is computationally extraordinarily expensive: the company will need to operate vast simulation environments and train very large models against them, an undertaking that consumes capital at a rate closer to physical R&D than to traditional software. Second, the round signals a strategic move by Europe’s investor and policy ecosystems to retain the most ambitious AI researchers on the continent. The presence of the UK Sovereign AI Fund alongside Sequoia, Lightspeed and Nvidia is the clearest expression of that intent. The British government has publicly framed the investment as a bet on breakthrough AI that “can discover new knowledge”, positioning the country as a willing co-investor in domestic frontier laboratories. For Ineffable, the implication is access not only to capital but to compute, regulatory engagement and the still-resilient academic talent base around UCL, Oxford, Cambridge and Imperial. Founder pledge of historic scale Alongside the funding announcement, Silver disclosed that he is committing 100 per cent of any personal proceeds from his Ineffable equity to charity via the Founders Pledge network — described by the organisation as the largest pledge in its history. At the round’s $5.1 billion valuation, that commitment could ultimately exceed several billion dollars if the company succeeds. It is a meaningful gesture in a sector where the reputational stakes around concentrated AI wealth are escalating, and one likely to be referenced in subsequent founder-led commitments. Implications for the European AI landscape Ineffable’s emergence reshapes the European AI map in three concrete ways. It establishes London as the home of the continent’s largest-ever seed-stage company, complicating Paris’s recent narrative of frontier-AI primacy after Mistral’s earlier rounds. It validates a thesis — that reinforcement learning, not transformer scaling, is the next frontier — that has lately been losing capital share to language-model incumbents. And it confirms that the UK government is now willing to act as a balance-sheet co-investor in domestic AI laboratories, a posture much closer to the French model than to the predominantly grant-based regimes elsewhere in Europe. The execution risk is non-trivial. Reinforcement learning at frontier scale has historically required years of careful environment design before producing competitive systems, and Ineffable’s “first contact” framing sets a high bar against which it will be judged. But for now, with a billion dollars on the balance sheet, four of the discipline’s most accomplished researchers in the founding team and a sovereign co-investor at its back, Ineffable Intelligence is the most heavily resourced new entrant in the European AI cycle. Sesamers covers European fundraising rounds across deeptech, fintech and AI. Source: tech.eu.

Fundraising 5 days ago

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