Google Introduces the Agent2Agent (A2A) Open Source Protocol
In a recent speech, Jensen Huang (CEO of NVIDIA) divided the evolution of artificial intelligence into several phases and called the current phase the era of Agentic AI. Although he mainly focused on the next phase of the physical AI era, we should not forget that the Agentic AI era also started only this year, so its fully developed form has not yet been seen. The recent announcement by Google of the open source Agent2Agent protocol gives us a hint of what this more advanced form might look like. The protocol is designed to bridge the gap between AI agents created on different platforms, frameworks, and by various vendors, enabling smooth communication and collaboration.
Apple in Trouble with Artificial Intelligence Developments?
With Trump's tariffs, Apple appears to be facing increasing problems. One reason is that, besides the tariffs—which have hit Apple's shares hard—there are internal conflicts, especially in the division responsible for AI integration. Tripp Mickle, a journalist for The New York Times, reports that Apple has not been able to produce any new innovations lately. Although this may not be entirely true—since, after much debate, the company finally managed to launch Apple Intelligence—there is no doubt that it is lagging behind its competitors in the field of artificial intelligence.
New Collaboration Between Netflix and OpenAI
Netflix recently began testing a new artificial intelligence-based search feature that uses OpenAI’s technology to improve content search. This feature is a significant departure from traditional search methods because it allows users to find movies and TV shows using specific terms, such as their mood or preferences, rather than only using titles, genres, or actor names.
Strong Turbulence Around Meta Llama Models
Less than a week after its market debut, Llama 4 has already received harsh criticism from users. As mentioned before, one of Llama 4’s new features is its architecture built from different modules. This design lets the model have a much larger effective parameter set than the one it uses at run time, so in theory, it should perform much better. However, several independent user tests show that it does not meet the expected results, especially for mathematical tasks and coding. Some users claim that Meta heavily manipulated benchmarks to achieve better scores, while others believe that an internal version of the model was tested while a more modest version was released to the public.
Google Geospatial Reasoning: A New AI Tool for Solving Geospatial Problems
Geospatial information science is one of today’s most dynamic fields. It deals with collecting, analyzing, and visualizing location-based data. This discipline combines geosciences with information technology to address practical needs such as urban planning, infrastructure development, natural disaster management, and public health. Although technology like GPS navigation and Google Maps has long been available, the recent explosion of data and the growing demand for real-time decision-making have created a need for new solutions. This is where artificial intelligence comes in—especially with Google’s Geospatial Reasoning framework.
Jakarta EE Web Profile 11 Has Been Released
A bit later than originally planned, version 11 of the Jakarta EE Web Profile—maintained by the Eclipse Foundation—has officially arrived, bringing major improvements over previous releases.
Several Important New Features in Llama 4
Meta’s latest family of artificial intelligence models, Llama 4, brings significant innovations to multimodal model development. In addition to the two models currently available—Llama 4 Scout and Llama 4 Maverick—a very powerful model called Llama 4 Behemoth is in development. Behemoth is expected to play a significant role in STEM-related tasks (science, technology, engineering, and mathematics) in the future.
Snapdragon® 8s Gen 4 Processor Announced
Qualcomm’s latest premium mobile chip, the Snapdragon® 8s Gen 4, brings significant improvements over previous generations. This new processor offers outstanding performance and power efficiency compared to the Snapdragon® 8s Gen 3, taking the mobile experience to a new level.
New Standard Lock File Format for Python Package Management
With the adoption of PEP 751, the Python development community has introduced the pylock.toml format, a uniform and secure solution for managing dependencies. This change addresses a long-standing issue: there was no official standard to ensure that package versions and dependencies were handled consistently across different environments.
Apple’s AI Doctor Plans
Apple is developing an AI-powered health coach, codenamed “Project Mulberry,” designed to give personalized advice for everyday life. The new feature is expected to be included in a future iOS 19.4 update—likely in spring or summer 2026—and will first launch in the US.
Babylon.js 8.0 Has Arrived
After a year of intense development, Microsoft has finally unveiled Babylon.js version 8.0. This new release brings several advanced features that enable faster, more visually appealing, and interactive web experiences. IBL shadows create more realistic environment lighting, while area lights allow for simple yet effective 2D lighting effects. In addition, the Node Render Graph—introduced in its alpha stage—gives developers full control over the rendering process, and the new Lightweight Viewer and WGSL Core Engine shaders help reduce development time and boost performance.
 Credit-based Windows Notepad usage with Copilot integration
Microsoft is introducing a new feature in Windows Notepad that allows you to use Microsoft Copilot, an artificial intelligence to improve your writing in Notepad. The feature allows you to rephrase your writing, generate a summary, or make other text tweaks such as adjusting the tone or style of text.
Zorin OS 17.3 with the Most User-Friendly GNOME Desktop Environment
Released on March 26, 2023, Zorin OS 17.3 introduces several new features to enhance the user experience, security, and system compatibility.
TxGemma - New Open Model for Drug Development
One of the biggest challenges in drug development is finding lead compounds beyond the clinical phase, as 90% of candidates fail in the initial trial phase. In this context, TxGemma—an open model collection developed on top of Google's DeepMind Gemma and its family of modern, lightweight open models—represents a breakthrough. TxGemma aims to harness the power of large language models to improve the efficiency of therapeutic discovery, from identifying promising targets to predicting clinical trial outcomes.
Artificial Intelligence in Practice: An Innovative Collaboration between NVIDIA and Boston Dynamics
Modern robotics has grown hand in hand with artificial intelligence and simulation technologies. NVIDIA’s Isaac™ GR00T research project aims to speed up the development of humanoid robots with new basic models. Meanwhile, Boston Dynamics uses its long experience and modern computing platforms to create robots that move in a natural, lifelike way. Their partnership is a new milestone in humanoid robotics, as it combines simulation, learning, and real-world testing to create adaptive, real-time robotic solutions.
EuroStack, EU OS, and Anti-Davos
A few months after Trump’s election, Europe finally seems to be waking up. It is still uncertain whether this awakening will lead to concrete results, but we are already hearing about some promising initiatives that could, at least in principle, bring positive change. The good news is that these initiatives come not only from the political sphere but also from various business players. Even though the approaches differ, they all share the goal of focusing more on internal consumption.
Apple may drop USB-C in the future
The EU's Common Charger Directive, aimed at protecting the environment and standardizing consumer products, has been essential in introducing a universal USB-C charging solution for smartphones and other electronic devices.
Tencent T1 Reasoning Model Released
Chinese technology giant Tencent has officially unveiled its latest T1 Reasoning model, designed to deliver superior performance in processing text documents and executing reasoning tasks. In recent months, the company has made several strategic AI investments, and the introduction of the T1 model further strengthens its position in the increasingly competitive Chinese AI market.
Artificial Intelligence in Network Management and Maintenance
Ericsson recently presented its strategic plans for 2025 at the Mobile World Congress 2025 (MWC25). These ideas are particularly intriguing as they demonstrate how artificial intelligence is being integrated into industrial processes that impact our daily lives—yet remain unnoticed as long as they function smoothly.
GTC 2025: NVIDIA's Blackwell-Based Servers and DGX Station
The GTC (GPU Technology Conference), held annually since 2009, will be hosted by NVIDIA this year from March 17 to 21. The conference is designed to showcase the latest developments and to promote collaboration and further innovation across different industries. It is attended mainly by developers, researchers, and technology leaders. NVIDIA CEO Jensen Huang has been saying for some time that companies will become token factories in the future—meaning that every workflow will be supported by artificial intelligence. Currently, large servers play a major role in this process, but AI integration will increasingly extend to personal computers. In the future, computers and laptops will have hardware capable of running even large language models in the background. This is necessary because programmers, engineers, and almost everyone will work with AI assistance.