The company, which was founded in 2016, is pitching itself as a privacy-focused alternative to both legacy badge systems and more controversial forms of facial recognition. According to Alcatraz, its flagship product, the Rock, uses facial authentication rather than surveillance-style identification, allowing employees to enter buildings without badges or passcodes while avoiding the storage of photographs or other personal data in the cloud. The company said the platform was designed to meet compliance requirements including GDPR, CCPA and BIPA. 

A Security Pitch Built for the A.I. Era

Alcatraz said demand has risen sharply as the AI boom turns data centers into some of the world’s most sensitive physical infrastructure. In its announcement, the company said its customer base already includes major AI data centers, U.S. airports, energy companies, NFL teams, universities and Fortune 100 companies. It also reported more than 300% year-over-year growth in data center adoption in 2025, along with 200% growth in new enterprise customers and a fivefold expansion across Fortune 500 deployments. 

Chief Executive Tina D’Agostin said the company sees itself as bringing smartphone-style identity verification into the workplace. “We are the Face ID of securing physical spaces,” she said in the announcement, arguing that badges and passcodes now create too much risk for modern workplaces. Founder Vince Gaydarzhiev, who Alcatraz said worked on hardware prototyping for iPhone and iPad during the development of Face ID at Apple, said he wanted to bring a privacy-centered approach to the buildings where people work. 

The timing of the funding reflects a larger shift in the market: as companies pour billions into AI infrastructure, the business of protecting the physical spaces behind that technology is becoming more strategically important. Alcatraz said it plans to use the new capital to expand into new industries, enter international markets and grow its team, betting that the next phase of AI growth will require not just more computing power, but tighter control over who can access it. 

Apple said the anniversary program began on March 13 with Alicia Keys at Apple Grand Central in New York and closed on March 31 with a performance by Sir Paul McCartney at Apple Park in Cupertino, part of a broader push to frame the company’s half-century mark around “creativity, innovation, and impact.” 

In Cupertino, Apple closed the month with Paul McCartney at Apple Park, a symbolic finale given Steve Jobs’ long-documented admiration for the Beatles. 

Cupertino Apple Park stage

Paul McCartney performs at Apple Park in Cupertino, the grand finale of Apple’s 50th anniversary celebrations

Tim Cook greets the crowd at Apple Park

In New York, Alicia Keys opened the celebrations from the steps of Apple Grand Central, with Apple highlighting the show as both a live performance and a showcase for iPhone 17 Pro capture. 

Alicia Keys kicks off Apple’s 50th anniversary celebrations with a live performance atop Apple Grand Central’s iconic steps

Customers fill Apple Grand Central for a special event on March 13

Tim Cook and Alicia Keys greet the audience at Apple’s 50th anniversary celebration in New York City

In London, Apple Battersea hosted Mumford & Sons and a DJ set from Nia Archives, linking the anniversary to the U.K.’s live music scene. 

London in honor of Apple’s 50th anniversary

In Paris, Apple Champs-Élysées turned the spotlight on French touch, with a pop-up recording studio, Today at Apple sessions, and performances from artists including Breakbot and Cassius. 

Apple Champs-Élysées hosts a live performance with French touch pioneers such as Breakbot and Cassius, alongside the next generation, including disiz, Ebony, Rnboi, and Guy2Bezbar, with DJ sets by Paloma Le Friant, Andy 4000, and more

In Shanghai, Apple Jing’an became part of Shanghai Fashion Week through a Feng Chen Wang show themed “Life and Love.” 

As part of Shanghai Fashion Week, designer Feng Chen Wang presented a special show at Apple Jing’an themed “Life and Love,” celebrating Apple’s 50th anniversary and the company’s spirit of thinking different

In Chengdu, Apple Taikoo Li Chengdu featured a performance from Chinese pop star Chris Lee, whom Apple positioned as a cultural figure spanning music, fashion, and art. 

Chris Lee performs at Apple Taikoo Li Chengdu in honor of Apple’s 50th anniversary

In Mumbai, Apple BKC unveiled a mural by Mira Felicia Malhotra and paired it with a conversation featuring singer-songwriter Anuv Jain.

At Apple BKC in Mumbai, a playful mural by visual artist and illustrator Mira Felicia Malhotra pays tribute to the city’s vibrant creative community

 In Tokyo, Apple Omotesando hosted virtual artist Mori Calliope for a live performance and discussion about her creative process inside Apple’s ecosystem. 

Virtual artist Mori Calliope performs at Apple Omotesando in Tokyo for a celebration of creativity and technology

In Vancouver, Apple Pacific Centre featured figure skater Elladj Baldé, who used a Today at Apple session to discuss his iPhone-shot “Wild Ice” work.

In a special Today at Apple session, Canadian figure skater Elladj Baldé discussed his creative journey with his “Wild Ice” series

 In Mexico City, Apple Antara gathered talent from Apple TV productions including Las Azules, Acapulco, and Midnight Family for a conversation about local storytelling with global reach.

Apple Antara brought together talent behind the hit Apple TV productions Las Azules, Acapulco, and Midnight Family for an intimate conversation about creativity and storytelling

 In Washington, D.C., Apple Carnegie Library centered accessibility, with Troy Kotsur, Roberta Cordano, and Haben Girma discussing Deaf creativity and inclusive technology.

Troy Kotsur and Roberta Cordano join Apple’s Sarah Herrlinger at Apple Carnegie Library in Washington, D.C., for a discussion about the legacy and future of Deaf creativity

 In Sydney, the Sydney Opera House became a giant canvas for “Illuminating Creativity,” projecting artwork from emerging Australian artists and members of the public to a score composed in Logic Pro.

Illuminating Creativity transforms the Sydney Opera House’s eastern Bennelong sails into a canvas to showcase digital artwork from 11 emerging Australian artists and six members of the public

 In Bangkok, Apple Iconsiam featured artist Molly Yllom and her Crybaby universe in a special Today at Apple session.

To celebrate Apple’s 50th anniversary, Molly Yllom — the artist behind the Crybaby universe — led a special Today at Apple session at Apple Iconsiam in Bangkok

 In Seoul, Apple Myeongdong welcomed K-pop group CORTIS for a fan conversation and live performance. 

K-pop sensation CORTIS performs at Apple Myeongdong in Seoul as part of Apple’s 50th anniversary celebrations

The message behind the anniversary was clear: Apple wanted its 50th birthday to feel less like a retrospective and more like a demonstration of how tightly its products are woven into today’s creative industries, from recording studios and fashion runways to accessibility tools and public art. That framing also matches Apple’s own description of the milestone, with the company saying it remains focused on “the future” as it moves beyond its first half-century.

Photos: Apple

SonarSource unveiled three new open beta products — Sonar Context Augmentation, SonarQube Agentic Analysis and SonarQube Remediation Agent — designed to help teams guide, verify and fix AI-generated code throughout the development cycle. The company’s message is clear: as coding agents produce more software at much higher volume, the next battleground will not be generation alone, but whether organizations can trust, control and maintain what those agents create. 

Why This Matters for Users

For users, the benefit is practical rather than theoretical. AI coding tools can already generate large amounts of code quickly, but Sonar argues that speed often comes with more issues, more complexity and more technical debt. Its new tools are meant to reduce that burden by giving agents better context before they write code, checking their work while they are generating it, and fixing issues automatically before developers have to spend time cleaning them up by hand. 

The Competitive Difference: Sonar Is Selling a Control Layer

That is what separates SonarSource from many competitors chasing the AI coding boom. Plenty of vendors focus on helping agents generate code faster. Sonar is focused on what happens after that moment — whether the output aligns with architecture, passes quality and security checks, and can be repaired systematically without dragging down engineering teams. In other words, Sonar is not trying to be the coding agent itself. It wants to be the trust and verification layer around agent-driven development. 

The AC/DC Framework Behind the Launch

Sonar is packaging the launch around what it calls the Agent Centric Development Cycle, or AC/DC, a four-stage framework for AI-generated software: Guide, Generate, Verify and Solve. The idea is that AI agents should not operate as black boxes. They should first receive project-specific rules and architectural constraints, then generate code in a sandboxed flow, then have that code verified through deterministic analysis, and finally feed identified issues into a repair loop. That cycle, Sonar argues, is what turns AI coding from a novelty into an enterprise-ready process. 

Context Before Code

The first new product, Sonar Context Augmentation, is aimed at one of the most common weaknesses in AI coding: agents often lack awareness of the standards, structures and boundaries of the codebase they are working in. Sonar says the product injects relevant, real-time project context from SonarQube directly into the agent workflow, so the model understands what rules apply before it writes code. For customers, the value is not just cleaner output. Sonar says early benchmarks showed better build pass rates, better test pass rates, less code duplication, lower cognitive complexity and fewer tool calls and tokens, which could also mean lower operating costs. 

Catching Problems Earlier

The second product, SonarQube Agentic Analysis, moves code analysis into the agent’s generation loop instead of waiting for a failed pull request or human review. That could be meaningful for users because it shifts error detection upstream. If the code introduces a security risk, logic flaw or maintainability issue, the agent can see it and correct it in real time. The promise is that developers spend less time acting as cleanup crews for AI mistakes and more time on architecture and higher-value work. 

Fixing Technical Debt at Scale

The third product, SonarQube Remediation Agent, takes aim at both new issues and old backlog problems. For fresh pull requests, it can generate fixes as soon as SonarQube flags an issue. For older codebases, Sonar says it can work systematically through accumulated vulnerabilities, reliability issues and maintainability problems by opening one pull request per issue. That gives developers reviewed, ready-to-merge fixes without forcing automatic changes into production. The important distinction is that Sonar says every generated fix is re-scanned by its analysis engine before it reaches the developer, which strengthens its position as a verification-first platform rather than a blind automation tool. 

A Timely Message as AI Code Quality Comes Under Scrutiny

Sonar is also leaning on research to support its case. In the post, the company cites peer-reviewed Carnegie Mellon research covering 807 open-source projects that had adopted Cursor. Sonar says the study found a temporary productivity boost from agent usage, but by the third month that boost had faded, while code analysis warnings rose 30 percent and code complexity climbed 41 percent. For technology buyers, that is the core tension Sonar is trying to monetize: AI may increase output, but without stronger quality controls it can also increase long-term drag on development. 

Why Enterprises May Find This More Useful Than Another Coding Copilot

That framing could resonate especially with larger organizations that are already experimenting with Cursor, Claude Code, Codex, Gemini and GitHub Copilot but are concerned about compliance, maintainability and architectural drift. Sonar’s advantage is that it already has a long-standing position in code analysis and quality gates. Rather than asking customers to adopt yet another standalone AI coding product, it is extending that existing authority into the agentic era. For customers already using SonarQube, the transition may feel less like buying a brand-new category and more like upgrading an existing control point to meet AI-era demands. 

Image: Sonar 

Officials from nine countries, including the United States, France, Poland, the United Arab Emirates and Morocco, presented national approaches to bringing technology into education systems, underscoring how AI policy is increasingly moving from research labs into classrooms and public-sector strategy. The White House said the summit brought together policymakers and private-sector leaders as governments treat AI not only as a learning tool, but also as an economic and geopolitical priority.

In her keynote, Melania Trump outlined what she called three forces likely to shape the next generation: AI-driven personalized learning, the emergence of humanoid educators for at-home use, and the broader role of technology and education in economic growth.

“The future of AI is ‘personified’ – it will be formed in the shape of humans,”

Melania Trump said.

Very soon, artificial intelligence will move from our mobile phones to humanoids that deliver utility.”

Melania Trump also used the summit to introduce what the White House described as an American-built humanoid system, Figure 3, calling it “my first American-made humanoid guest in the White House.” The administration said the appearance marked the first formal presentation of that kind of technology to international leaders in a diplomatic setting at the White House, turning the summit into a demonstration of how embodied AI may become part of future education, home assistance and public-facing services.

The First Lady framed that future in distinctly consumer-tech terms. She asked attendees to “imagine a humanoid educator named ‘Plato,’” describing an always-available AI system able to adapt lessons in real time to a student’s pace, prior knowledge and even emotional state.

“Plato will provide a personalized experience, adaptive to the needs of each student. Plato is always patient, and always available,”

Melania Trump said, while adding that

“we must balance our tech optimism with caution. The safety of our next generation is always paramount.”

Melania Trump also made a broader industrial argument, urging closer coordination between government and the private sector. Referring to the State Department session, she highlighted participation from companies including Meta, Microsoft, OpenAI, X, Palantir, Google, Zoom and Adobe, and said,

“We can accelerate civilization’s march forward when enterprise delivers innovation, government creates scale, and our capital markets finance the distribution of these emerging technologies.”

The summit fits into a larger White House push around AI-enabled education. The coalition’s stated goal is to help children learn, grow and thrive through the safe and innovative use of advanced technology, while expanding access to tools and pairing those deployments with digital safety measures.

At its core, the event was both a diplomatic exercise and a signal about where parts of the policy conversation around AI are heading next: away from abstract debate over models alone, and toward real-world systems that mix software, hardware, education and national competitiveness.

“We stand at a turning point because of artificial intelligence – The Age of Imagination,”

Melania Trump said.

“This technology may reset the modern world order and rebalance power.”

Image: Official video posted on the White House website (screenshot)

The Ring Pro is central to Ultrahuman’s comeback strategy, featuring a redesigned unibody metal structure that helped the startup secure U.S. clearance. The new device boasts improvements such as longer battery life and enhanced on-device processing, and is available for U.S. pre-orders starting at $399. Kumar said

“We believe the Ring Air is a non-infringing model, and we are fighting that in federal court in the U.S.”

The new approval follows an October ruling by the U.S. International Trade Commission in favor of Oura, that significantly restricted imports of Ultrahuman’s earlier Ring Air model.This decision resulted in as much as $50 million in lost sales, according to CEO Mohit Kumar. The U.S. continues to be the most vital market for smart rings, representing about 60% of the 4.4 million units sold globally in 2025.

The period of import restrictions has also caused rapid market consolidation in favor of Oura. The company capitalized on Ultrahuman’s absence, increasing its U.S. market share from 63.3% to 85%, while Ultrahuman’s share plummeted to low single digits from its peak of 24.6% in Q2 2025. The U.S. market previously accounted for up to 50% of Ultrahuman’s revenue. The company plans an immediate and aggressive rollout of the Ring Pro. According to Kumar it will take five to six months to reach full scale as it rebuilds its supply chain and distribution.

Image: Ultrahuman

What’s New for Users

One of the most visible additions arrives in Apple Music. iOS 26.4 introduces an AI-powered “Playlist Playground” feature built on Apple Intelligence. Users can generate a custom 25-song playlist from a simple text prompt such as “upbeat workout mix” or “calm evening.” The playlist can then be refined further, with the option to select matching cover art, offering a more personalized discovery experience.

Apple Music is also gaining a new “Concerts Near You” section designed to surface live shows from favorite artists. The feature allows filtering by date and genre, and users can switch locations when traveling, strengthening Apple’s push into music discovery and live event engagement.

In podcasts, Apple is responding to the broader industry’s shift toward video. The native Apple Podcasts app now allows seamless switching between audio and video episodes within the same show. Creators can publish video podcasts using HTTP Live Streaming (HLS), while listeners can move between formats instantly, including expanding to a full horizontal video display.

A new video podcast experience enabled by HLS technology lets users switch between watching and listening, move to a horizontal full display, as well as download videos for offline viewing.

Messaging is receiving a notable security-focused upgrade with encrypted Rich Communication Services (RCS), now entering testing in iOS 26.4. The end-to-end encryption aims to eventually secure conversations between iPhone and Android users at a level comparable to iMessage. For now, encrypted RCS is being tested between iPhones in beta, with conversations clearly labeled as encrypted. Apple says broader public support across iOS, iPadOS, macOS and watchOS will arrive in a later update, and availability will vary by device and carrier.

Security enhancements extend further. Stolen Device Protection is now enabled by default, adding additional biometric authentication requirements for sensitive actions such as accessing saved passwords or modifying account settings. By expanding the use of Face ID or Touch ID verification, Apple aims to reduce the risk of unauthorized access if a device is stolen and a passcode is compromised.

Drivers using Apple CarPlay will also see updates. CarPlay now supports in-car video playback for select apps, including Apple TV app, though only when the vehicle is parked to maintain safety standards. The feature introduces new entertainment options for passengers during stops or extended waits.

Developer and Enterprise Enhancements

The beta release builds on the AI features first introduced earlier in the iOS 26 cycle, refining contextual suggestions, system-wide writing assistance and predictive automation tools. Apple has also adjusted notification management and Focus mode behaviors to reduce friction across productivity workflows, while optimizing battery performance under heavier AI-related processing loads.

For developers, iOS 26.4 includes updates to SDK frameworks, improved debugging tools and expanded testing support for apps integrating advanced machine learning models. The release notes highlight fixes to SwiftUI rendering, enhancements to background execution policies and improved compatibility with third-party extensions.

Enterprise users are also seeing incremental updates aimed at device management and security compliance. Apple has patched several vulnerabilities and strengthened sandbox protections, reinforcing its positioning around secure mobile deployments for corporate environments.

As with any public beta, Apple cautions users that performance inconsistencies and app compatibility issues may occur. Developers are encouraged to test applications thoroughly before the final release candidate is issued.

Material by Veronika Atanasova

Image 1: Apple Newsroom

Image 2: Apple, iOS

According to recent reporting from Bloomberg, the company is working on an AI wearable described as an AirTag-sized pendant equipped with cameras that could be pinned to a user’s clothing. The device, sometimes referred to as an “AI pin,” is said to be part of a broader push into next-generation wearable computing.

The report follows earlier coverage from The Information, which first revealed Apple’s exploration of a camera-enabled wearable form factor.

AI Glasses in Development

Beyond the AI pendant, Apple is also reportedly speeding up work on AI-powered smart glasses, internally code-named N50. The glasses are expected to include a high-resolution camera and deeper artificial intelligence integration.

Bloomberg reports that Apple is “targeting the start of production as early as December,” potentially paving the way for a public release in 2027.

If launched, the glasses would place Apple in direct competition with Meta Platforms, currently one of the most active players in smart eyewear, as well as Snap Inc., which plans to release its latest “Specs” later this year.

The Apple glasses are reportedly being positioned as “more upscale and feature-rich” than the company’s other experimental AI wearables.

AI-Enhanced AirPods

In addition to the pendant and smart glasses, Apple is said to be developing a new generation of AirPods with expanded AI capabilities. While details remain limited, the move would align with Apple’s broader strategy of embedding AI more deeply across its hardware ecosystem.

All three devices are expected to connect directly to the iPhone and rely heavily on Siri as a central interface for user interaction..

Apple has not officially confirmed the projects. If the reports prove accurate, Apple’s upcoming product roadmap could mark one of its most significant expansions into AI-first hardware since the launch of the Apple Watch.

Material by Veronika Atanasova

Image: Apple

The information, first reported by MacRumors, points to Apple’s focus on addressing one of the biggest challenges of foldable devices: power efficiency. Foldable displays typically consume more energy due to larger screen areas and complex panel technology. A significantly larger battery would allow Apple to maintain its reputation for all-day battery life, even with a more demanding form factor.

Sources cited by the publication suggest Apple is leveraging new internal design techniques to maximize battery volume, including thinner display components and optimized internal layouts. This approach aligns with Apple’s broader hardware strategy of tightly integrating silicon, software, and industrial design to improve real-world performance rather than relying solely on raw specifications.

While Apple has not officially confirmed plans for a foldable iPhone, the emphasis on battery life signals that the company may wait until it can deliver a foldable experience without compromising usability. If accurate, this move could set a new benchmark for endurance in the foldable smartphone category and reinforce Apple’s cautious but polished approach to entering new device segments.

Material by Veronika Atanasova

Image: AI Generated

From Digital Intelligence to Physical AI

Recent advances in AI have largely centered on digital domains, but Microsoft argues that the next major breakthrough lies in applying AI to the physical world. This includes robotics, autonomous systems, industrial automation, and embodied agents that must operate under uncertainty, process sensor data in real time, and adapt to dynamic environments. Unlike digital systems, physical AI must contend with real-world constraints such as physics, safety, and energy efficiency.

Microsoft highlights the rise of vision-language-action (VLA) models as a critical enabler of this transition.

The emergence of vision-language-action (VLA) models for physical systems is enabling systems to perceive, reason, and act with increasing autonomy alongside humans in environments that are far less structured,

said Ashley Llorens, Corporate Vice President and Managing Director of the Microsoft Research Accelerator.

A Multimodal, Systems-Level Research Approach

Central to Microsoft’s strategy is the development of multimodal AI systems that integrate vision, language, audio, spatial reasoning, and tactile sensing. Rather than building narrowly specialized models, Microsoft is pursuing foundation models for physical interaction—AI systems capable of generalizing across tasks and environments.

These models are designed to operate as part of broader systems that include simulation platforms, robotics hardware, and real-time control software. Microsoft emphasizes the importance of training across both simulated and real-world data, allowing AI systems to learn safely and efficiently before being deployed in physical settings.

Moving Robots Beyond Rigid Automation

A key objective of Microsoft’s physical AI research is to move robots beyond fixed, pre-programmed behaviors. Today’s industrial robots often function only in tightly controlled environments. Microsoft aims to enable robots that can adapt to new tasks, objects, and environments with minimal retraining, unlocking broader applications in logistics, healthcare, construction, agriculture, and service robotics.

Achieving this requires advances not only in AI models, but also in perception, planning, and decision-making—supported by close collaboration between AI researchers, roboticists, and systems engineers.

Safety, Reliability, and Human Collaboration

Because physical AI systems interact directly with the real world, Microsoft places strong emphasis on safety, robustness, and human alignment. Research efforts focus on building systems that can detect uncertainty, recover from errors, and work collaboratively with humans rather than operating in isolation.

Microsoft frames physical AI as human-centered by design, intended to augment human capabilities and support safer, more efficient workflows across industries.

Building the Foundation for the Next Computing Era

Microsoft positions AI for the physical world as foundational infrastructure for the next phase of computing—similar to the role cloud platforms played in enabling modern software ecosystems. By advancing AI systems that can understand and act in real-world environments, the company aims to support innovation across sectors where digital intelligence meets physical processes.

Material by Irina Kalaydjieva

Source and image: Microsoft Research

Material by Yana Petrova

Photo: Hyundai Motor Group