AutoVision photographs the racks when the door closes, then chooses the cycle, detergent dose and drying. It is switched off by default and reaches German-speaking markets in April 2027.
In Ookla's first-half 2026 data, Telekom beat more than 120 European operators on consistency. At home, it won all 11 German mobile categories, a first for any operator in the country.
The IP65 outdoor sensor can be set up with a tap before it is even powered. That could make fitting dozens of smart home devices much quicker for installers.
Apple holds its "Surprise and shine" keynote on 9 September at Apple Park — the first as CEO for John Ternus. Expect the iPhone 18 Pro, a book-style foldable iPhone Ultra, new Apple Watches, and a base iPhone 18 that is not coming until 2027.
Crusoe raised over $3 billion at roughly a $30 billion valuation — close to triple its October 2025 mark — while building a 1.2 gigawatt cluster for OpenAI in Texas. The number that matters in AI infrastructure is no longer GPUs. It is gigawatts.
Tesla began taking paid Cybercab rides in Austin on 3 September. Hours later NHTSA opened Audit Query AQ26002 into roughly 1,000 of the vehicles. The question is not whether the car drives well — it is whether Tesla was entitled to certify it at all.
OpenAI released GPT-6 Astra on 3 September, calling it a new capability level for coding, research and computer use. Within a day the launch had produced a public apology, a restricted consumer build, and the first model ever rated Critical for cyber capability.
Uber is cutting 10% of its global workforce and shrinking management by 20% — while double-digit growth continues. More than $10 billion is going to autonomous vehicles the company will not develop itself. The strategy is stranger, and smarter, than the headline suggests.
Artificial intelligence (AI) is taking the world by storm, and the software industry is at the forefront of the curve. However, while AI-powered tools have received accolades for their ability to perform repetitive coding and debugging tasks, their role in the design phase has received less attention. But AI is indeed entering the design phase
Artificial Intelligence (AI) continues to rapidly evolve, fundamentally changing how apps are conceptualized, developed, and maintained. As we look forward, the role of AI in app development is becoming increasingly sophisticated, empowering developers to build smarter, more intuitive, and highly personalized apps. Here’s a look at the future of AI in app development, along with
As artificial intelligence (AI) tools gain more prevalence in the software industry, many positions are evolving to adapt to the changing workflows. AI can complete many of the time-consuming tasks that were previously done by software professionals, allowing software development companies to streamline their teams and shift their workflows to account for AI’s growing presence.
Artificial intelligence continues to redefine industries, unlocking powerful capabilities and opportunities. However, alongside these advancements come significant challenges and ethical questions. As businesses and developers, it’s critical for us to understand and navigate the complexities of AI, including issues related to bias, transparency, privacy, and workforce implications. Let’s explore these challenges and outline some practical
