Category "notizie dai blog"

When the COVID-19 pandemic hit, Mohd Zaid, from Kajang, Malaysia, felt the pressure of providing for his family in an uncertain environment. To bring in some extra income, he turned first to one of his personal passions — making soy wax candles infused with scented oils — and then he turned to the internet. After learning digital marketing skills through a Grow with Google course, Zaid was able to go beyond word-of-mouth sales and promote his candles online through Google Ads and Search. His revenue jumped 70%.

Zaid is one of a growing number of Malaysian entrepreneurs embracing a more digital economy. Technology has helped Malaysians through the economic effects of the pandemic, enabling people across the country to work, learn and run their businesses in new ways. According to the latest eConomy Southeast Asia report, 81% of all Malaysian internet users now use digital services — including three million people who’ve become new ‘digital consumers’ since the pandemic began. And business owners are adopting technology at a faster pace, using digital tools to serve their customers better. Over 40% of digital merchants in Malaysia believe their businesses wouldn’t have survived the pandemic without digital platforms (the highest proportion anywhere in the region).

Technology is equally important to Malaysia’s long-term future. According to a new report released by AlphaBeta, making the most of digital opportunities could create $61.3 billion in annual economic value for Malaysia by 2030. That’s the equivalent of about 17% of Malaysia’s GDP in 2020.

So the possibilities are enormous — but right now, Malaysia has some catching up to do. Only one-third of Malaysian businesses have a website, compared with 44% globally. The digital economy is also uneven. Some industries, like manufacturing, use technology far more intensively than others, like agriculture, while small businesses face a shortage of workers with the right skills.

Malaysia’s government has developed a Digital Economy Blueprint, aiming to position Malaysia as a regional technology leader by the end of the decade, and the AlphaBeta report sets out three priorities for getting there: digitalizing the public and private sectors, building the nation’s digital talent and promoting digital trade opportunities.

To help, Google Malaysia will continue to expand programs like Mahir Digital Bersama Google, which has already trained more than 36,000 Malaysian small businesses. We’ll keep working to close digital skills gaps through initiatives like Go Digital ASEAN (supported by Google.org and focused on marginalized communities) and AirAsia academy, which provides free digital courses for local small businesses. Through YouTube, we’ll expand our efforts to help Malaysian creators find global audiences and grow revenue for their businesses. And we’ll deepen our efforts with the Ministry of Education to improve digital learning in schools, laying the ground for the next generation of talent.

After a challenging period, I know we can look to the future with confidence — and technology is at the heart of the ambitions we share for our economy and society. We’re looking forward to playing our part in advancing Malaysia’s exciting digital potential together.

Google has spent over twenty years helping to make information accessible and useful in more than 150 languages. And our work is definitely not done, because the internet changes so quickly. About 15% of searches we see are entirely new every day. And when it comes to other types of information beyond words, in many ways, technology hasn’t even begun to scratch the surface of what’s possible. Take one example: sign language.

The task is daunting. There are as many sign languages as there are spoken languages around the world. That’s why, when we started exploring how we could better support sign language, we started small by researching and experimenting with what machine learning models could recognize. We also spoke with members of the Deaf community, as well as linguistic experts. We began combining several ML models to recognize sign language as a sum of its parts — going beyond just hands to include body gestures and facial expressions.

After 14 months of testing with a database of videos for Japanese Sign Language and Hong Kong Sign Language, we launched SignTown: an interactive desktop application that works with a web browser and camera.

SignTown is an interactive web game built to help people to learn about sign language and Deaf culture. It uses machine learning to detect the user’s ability to perform signs learned from the game.

Project Shuwa

SignTown is only one component of a broader effort to push the boundaries of technology for sign language and Deaf culture, named “Project Shuwa” after the Japanese word for sign language (“手話”). Future areas of development we’re exploring include building a more comprehensive dictionary across more sign and written languages, as well as collaborating with the Google Search team on surfacing these results to improve search quality for sign languages.

Advances in AI and ML now allow us to reliably detect hands, body poses and facial expressions using any camera inside a laptop or mobile phone. SignTown uses the MediaPipe Holistic model to identify keypoints from raw video frames, which we then feed into a classifier model to determine which sign is the closest match. This all runs inside of the user’s browser, powered by Tensorflow.js.

We open-sourced the core models and tools for developers and researchers to build their own custom models at Google IO 2021. That means anyone who wants to train and deploy their own sign language model has the ability to do so.

At Google, we strive to help build a more accessible world for people with disabilities through technology. Our progress depends on collaborating with the right partners and developers to shape experiments that may one day become stand-alone tools. But it’s equally important that we raise awareness in the wider community to foster diversity and inclusivity. We hope our work in this area with SignTown gets us a little closer to that goal.

This summer, we shared an update about how we’re continuing to improve video calling on Chromebooks, thanks to performance improvements across Google Meet, Zoom and more. And the camera on your Chromebook is good for more than just video chatting. Hundreds of millions of images and videos have been captured using the Chromebook Camera app so far this year.

Today, we’re sharing a few features that make your Chromebook’s camera even more useful.

Scan documents and more

Have you ever wanted to use your Chromebook to share a physical document or image, but weren’t sure how without the help of a scanner? You can now use your Chromebook’s built-in camera to scan any document and turn it into a PDF or JPEG file. If your Chromebook comes with a front and back facing camera, you can use either of these to scan.

Open the Camera app and select “Scan” mode. When you hold out the document you want to scan in front of the camera, the edges will be automatically detected. Once it’s done, it’s easy to share through Gmail, to social media or to nearby Android phones or Chromebooks using Nearby Share.

Personalize your camera angle

If you use an external camera with your Chromebook, you can use the Pan-Tilt-Zoom feature to have more control over what your camera captures. You can now crop and angle your camera view exactly how you want it. Whether you want to show your furry friend napping in the background or just want to zoom in on yourself, your Chromebook’s got you covered.

With your external camera plugged in and configured, open the Camera app to adjust the angle you want to capture. Your selections will automatically save so when you jump from a Google Meet work call to making a video with your new puppy, your camera angle preferences will stay the same.

Try other Camera app features

In addition to taking pictures or scanning documents with your Chromebook’s camera, here are a few other features to test out:

• Video mode. If you want to send a quick message to a loved one for their birthday, record a video by clicking on the “Video” mode.
• Self timer. You don’t need to be within arm’s length of your laptop to take a picture. Set the timer, and you can take a few steps back to get the perfect shot.
• QR Code. In addition to new document scanning, you can also use the “Scan” option to scan QR codes. It works just like document scanning, so use your front or back facing camera to scan a QR code.
• Save for later. All your pictures and videos will automatically save to the “Camera” folder in your Files app for easy access later.

And coming soon…

Starting early next year, you’ll be able to create GIFs on the Camera app. Just record a five-second video dancing around with friends, hugging your loved ones, or playing with your favorite pet, and it will automatically turn into a shareable GIF.

If you’re interested in getting a sneak peak and providing feedback on Chromebook features before they launch, join our Chrome OS Beta Community. Sign-up here to be a Chrome OS Beta Tester Product Expert. Currently in Beta is a feature that integrates the Camera app with the Google Assistant. Just say “take a photo,” “record video” or “take a selfie” – you can even use Google Assistant to open the Camera app, so you don’t have to lift a finger.

We’ll be back in the new year to share more new Chromebook features.

Images can be an integral part of many people’s online experiences. We rely on them to help bring news stories to life, see what our family and friends are up to, or help us decide which couch to buy. However, for 338 million people who are blind or have moderate to severe vision impairment, knowing what’s in a web image that isn’t properly labeled can be a challenge. Screen reader technology relies on the efforts of content creators and developers who manually label images in order to make them accessible through spoken feedback or braille. Yet, billions of web images remain unlabelled, rendering them inaccessible for these users.

To help close this gap, the Chrome Accessibility and Google Research teams collaborated on developing a feature that automatically describes unlabelled images using AI. This feature was first released in 2019 supporting English only and was subsequently extended to five new languages in 2020 – French, German, Hindi, Italian and Spanish.

Today, we are expanding this feature to support ten additional languages: Croatian, Czech, Dutch, Finnish, Indonesian, Norwegian, Portuguese, Russian, Swedish and Turkish.

The major innovation behind this launch is the development of a single machine learning model that generates descriptions in each of the supported languages. This enables a more equitable user experience across languages in the sense that the generated image descriptions in any two languages can often be regarded as translations that respect the image details (Thapliyal and Soricut (2020)).

Auto-generated image descriptions can be incredibly helpful and their quality has come a long way, but it’s important to note they still can’t caption all images as well as a human. Our system was built to describe natural images and is unlikely to generate a description for other types of images, such as sketches, cartoons, memes or screenshots. We considered fairness, safety and quality when developing this feature and implemented a process to evaluate the images and captions along these dimensions before they’re eligible to be shown to users.

We are excited to take this next step towards improving accessibility for more people around the world and look forward to expanding support to more languages in the future.

To activate this feature, you first need to turn on your screen reader (here’s how to do that in Chrome). From there, you can activate the “Get image descriptions from Google” feature either by opening the context menu when browsing a web page or under your browser’s Accessibility settings. Chrome will then automatically generate descriptions for unlabelled web images in your preferred language.

^{Pictured left to right: Natalia Villalobos, Omoju Miller, Laura Markell and Kat Kuan}

In 2015, Developer Advocate Kat Kuan and I took a walk around the marshlands of Google’s Mountain View campus. We asked ourselves, “Why aren’t there more people of diverse backgrounds building apps for Android?” We noticed that the Android training content offered at the time assumed an intermediate level of programming experience, and decided to challenge that assumption. Was it possible to learn Android without any programming experience? We set out to create a learning path that would enable anyone to become an Android developer, and this remains one of the main priorities for Android’s training content.

As a team of four women at Google with different backgrounds and experiences, we envisioned what this learning process could entail and conducted early user testing to make sure student needs were met. In partnership with Udacity, we co-developed a curriculum for Android beginners. We focused on not only delivering technical content, but also on crafting supplemental materials like app case studies, an easy-to-understand vocabulary glossary and inspiring video content to reduce imposter syndrome. In 2015 the Android for Beginners course launched, and we saw tremendous reception. Soon students were asking, “What’s next?” We expanded the curriculum into a series of courses to help people without programming experience build a collection of Android apps. This was a major step towards building a more inclusive, equitable Android developer ecosystem.

In the six years since, Google continues to grow its investment with a larger dedicated training team. We’re seeing even more demand for beginner Android training, particularly as there are now over 3 billion active Android devices in the world. With a platform that evolves as quickly as Android, making sure learners have access to up-to-date materials that reflect development best practices is a major priority.

The latest course is Android Basics in Kotlin, available now for people with no programming experience who want to build basic Android apps within the flexibility of their own schedule. Beyond this online curriculum, we created materials for different learning styles so everyone can learn these critical Android concepts. To support students who learn best with others, we have facilitator materials that are useful for a group setting. To support more traditional classroom learning, we offer a university classroom curriculum that educators can adapt for their teaching environments. Next up, we are working on a training course in Compose, which is Android’s latest toolkit for building user interfaces.

Since that very first conversation that sparked the idea for this initiative, it was always about wanting to empower people. To date, hundreds of thousands of students have started their Android training. It has been incredible to witness their growth — both in the skills they acquire and the confidence they gain.

But we’re not done asking the hard questions. We’re still challenging our assumptions, and we’re as committed as ever to enabling more people to build products that reflect their diverse experiences. This not only unlocks new career paths for people, but it results in a better app ecosystem — one that serves more people, and creates new opportunities.

To stay up-to-date on the latest news in Android training, check out the Android Developers blog.

This May at Google I/O 2021, we shared our vision for Project Starline, a technology project that combines advances in hardware and software to enable friends, families and coworkers to feel together, even when they’re cities (or countries) apart.

Project Starline is the culmination of advances we’ve made across 3D imaging, real-time compression, spatial audio and our breakthrough light field display system that, when combined, enables a sense of depth and realism that feels like in-person communication. We recently described some of these advancements in a technical paper, Project Starline: A high-fidelity telepresence system, which we’re honored to have had accepted for publication at SIGGRAPH Asia.

As we’ve started expanding Project Starline’s availability in more Google offices around the United States, we’ve been encouraged by the promising feedback. Google employees have spent thousands of hours using Project Starline to onboard, interview and meet new teammates, pitch ideas to colleagues and engage in one-on-one collaboration. Many users noted how powerful the ability to make eye contact was, and how much more engaged and connected they felt. One user compared their experience to a coffee chat – a genuine interaction that makes you want to lean in and focus on the other person.

We measured the impact of hundreds of Google employees’ experiences with Project Starline, and the results showed that it feels much closer to being in the same room with someone than traditional video calls. We saw an increase in some of the most important signals that are often lost in video calls, such as attentiveness, memory recall and overall sense of presence. Here’s what we found when comparing Project Starline to traditional video calls:

• People displayed more non-verbal behaviors such as ~40% more hand gestures, ~25% more head nods and ~50% more eyebrow movements.
• People had much better memory recall when using Project Starline, tracking nearly ~30% better when being asked to recall details of their conversation or the content of a meeting.
• People focused ~15% more on their meeting partner in an eye-tracking experiment, suggesting that visual attentiveness is enhanced when using Project Starline.

These early results show promise for Project Starline’s ability to facilitate more personal connections from afar. As Google and more companies navigate the future of work, we are optimistic about the potential to deepen connection and collaboration among employees in the modern-day workplace. We look forward to continuing to expand Project Starline and sharing more on our progress.