The companies, products and trends that fared the best over the last 12 months. Every December, the Engadget staff compiles a list of the year's biggest winners . We scour over articles from the previous 12 months to determine the people, companies, products and trends that made the most impact over the course of the year. Not all of that influence is positive, however, and some selections may also appear on our list of biggest losers. Still, sit back and enjoy our picks for the biggest winners of 2025.

In recent years, reflecting on the past 12 months has seemed to bring back nothing but woe. Surprisingly, though, 2024 saw a higher number of candidates for good things in tech than bad. In spite of the continued AI onslaught, widespread dissatisfaction and worldwide political conflict, there were some bright spots this year that put smiles on faces and took minds off things. As we get ready to start saying "2025" when making plans, here's hoping that reminiscing about the best things in tech in 2024 can help us remember joyful times. You likely don't know the name LocalThunk, which is the handle of a Canadian game developer who has yet to share his real identity.

Throughout 2023, it felt like the drama never let up. From Elon Musk's nonstop shenanigans to the constant launches in the generative AI race, the last twelve months was packed with news. Thankfully, it wasn't all bad, and this year saw more winners than before. There were clear frontrunners, like Threads and AI, but we also saw surprises like Apple's Vision Pro headset and the iPhone maker finally embracing several open standards. Of all the things that happened this year, here's the Engadget team's list of tech's biggest winners in 2023.

Neural machine translation (NMT) has progressed rapidly over the past several years, and modern models are able to achieve relatively high quality using only monolingual text data, an approach dubbed Unsupervised Machine Translation (UNMT). We test the efficacy of bilingual lexica in a real-world set-up, on 200-language translation models trained on web-crawled text. We present several findings: (1) using lexical data augmentation, we demonstrate sizable performance gains for unsupervised translation; (2) we compare several families of data augmentation, demonstrating that they yield similar improvements, and can be combined for even greater improvements; (3) we demonstrate the importance of carefully curated lexica over larger, noisier ones, especially with larger models; and (4) we compare the efficacy of multilingual lexicon data versus human-translated parallel data. Neural machine translation (NMT) has emerged as the dominant way of training machine translation models (Bahdanau ...

In this new role, he oversees R&D in fields like computer vision, computer graphics, and machine learning with applications in areas like VFX, …

Despite everything we've all been through, though, there were a few bright spots in the world of tech. Console makers blessed us with mouthwatering next-gen hardware, while Apple wowed the industry with the prowess of its own M1 CPU. Google also delivered an excellent phone for just $350, demonstrating an ability to not just read the room, but also to think of a world beyond a well-heeled tech-savvy audience. There are also companies that flourished during the global lockdown, and though truth continued to be contested throughout the US elections, we thankfully saw social media step up their efforts to combat misinformation. Clearly, staying home gave some of us the freedom to produce great products and fight for good. Apple's M1 system on a chip (SOC) may be tiny, but its impact on the computing industry will be felt for years to come. The first of Apple's silicon to reach Macs, the M1 is a powerhouse, with 8 CPU cores and up to 8 GPU cores. Both the M1-equipped MacBook Air and MacBook Pro blew away comparable Intel or AMD-based PCs in the Geekbench 5 benchmark.

This article originally appeared in the Motley Fool. In 2014, Apple (NASDAQ:AAPL) CEO Tim Cook penned a missive regarding Apple's approach to privacy. In the letter Cook famously noted, "A few years ago, users of Internet services began to realize that when an online service is free, you're not the customer, you're the product." Cook was mostly looking to contrast the business model of Apple, which involves mostly making money on device sales, versus that of Alphabet (NASDAQ:GOOG) (NASDAQ:GOOGL), which often sells devices at breakeven to make money from advertising and data collection. However, Cook drew the ire of Facebook's (NASDAQ:FB) CEO Mark Zuckerberg, who responded in an interview with Time magazine.