Yesterday, Mozilla released Firefox 130 for Windows, macOS, Linux, and Android, fixing a number of important security vulnerabilities while also improving several features and introducing a new setting that makes it a lot easier to play around with experimental features -- like a brand-new integration with third-party AI chatbots. In the Firefox 130 security advisory report, Mozilla lists nine security vulnerabilities that have been fixed, of which four have been categorized as "high risk" by the browser manufacturer. As far as is known, none of the vulnerabilities have been exploited in the wild yet. But let's dive into the most interesting bit in this update: the opportunity to experience AI chatbots right within Firefox. Prior to Firefox 130, if you wanted to try out experimental browser features that are disabled by default, you had to take the not-so-intuitive route using the about:config page.

Fox News correspondent CB Cotton has the latest on calls for accountability for social media apps after parents say Snapchat helped facilitate drug sales on'Special Report.' A new artificial intelligence created by Snapchat has allegedly offered some dubious advice to what it thought was a 13-year-old girl, detailing, among other things, how to cover up bruises for a meeting with Child Protective Services (CPS) and how to lie to parents about a trip with a 31-year-old man. Tristan Harris, the co-founder of the Center for Humane Technology, recently posted a Twitter thread highlighting an exchange between colleague Aza Raskin and the new chatbot "My AI." Raskin, who set up the Snapchat account posing as a 13-year-old girl, told the chatbot she had met someone 18 years older than her but conveyed she felt "very comfortable with him." "It's great to hear that you feel comfortable," the chatbot responded, later suggesting the user remain "safe" and "cautious." After revealing that the trip would coincide with her thirteenth birthday, Raskin said she was thinking about having sex for the first time.

Adobe is working on a new feature that makes it possible to create composite images with just a few clicks. During its latest round of sneak peaks for experimental features, Adobe has showed off Project Clever Composites that uses AI and automation to quickly combine two images together. If you want a picture showing you standing in front of a tourist spot like the Eiffel Tower or the Leaning Tower of Pisa, you'd have to cut your photo out of an image and trim its edges. Then, after you paste it in front of the background you want, you still need to adjust the lighting, scale and color to make it blend seamlessly. Clever Composites can do all that on its own.

Obviously, I wanted to try it out, and in this post, I will show my findings and an example of using it. If you haven't tried it yet, check out how to enable and use it below. To enable the feature, open the settings menu, as shown above, under upcoming features/experimental, turn the'AI models as data sources' feature on. Save the app, close it and re-open the app for editing. After enabling the feature, you will notice a new category'AI models' under app data sources while trying to add a new one: To try it out, simply add a model to your app as a data source.

Line 5: We import the mlflow library Line 6: Here, we import the relevant mlflow.sklearn This entirely depends on which package the model is built on. The complete list of available modules can be found in the official MLflow Python API documentation. Line 7: Autologging is a recently introduced experimental feature that makes the MLflow integration hassle-free. This function automatically logs all the parameters, metrics and saves the model artifacts in one place.

Google is trialling an emergency sound detection mode for its Pixel Buds ear phones that alerts users to what's going on around them. The new feature, called Attention Alerts, detects signs of an emergency such as a barking dog, a crying baby or ambulance sirens with the help of AI. The new mode – which is being trialled for now – then lowers the audio volume of the Pixel Buds momentarily to let the user clearly hear what's going on around them. Pixel Buds users can enable this'experimental mode' on a Pixel phone with Android 10, but Google warned that it may shorten the battery life of the earbuds. Google has also introduced other permanent updates to Pixel Buds, including bass boost, sharing detection and transcribe mode.

Following the latest release of the programming language Python, an updated version of the Python package PyTorch is now available. PyTorch is designed to provide Tensor computation and deep neural networks. PyTorch 1.5 features new and updated libraries as well as new API additions and improvements. A highlight of the release is that the C frontend API is now stable and at parity with Python. This includes 100% coverage and docs for C torch::nn module/functional, C__ optimizers that behave the same as the Python equivalent; and the ability to use tensor.index({Slice(),

PyTorch 1.4 has been released, and the PyTorch domain libraries have been updated along with it. The popular open source machine learning framework has some experimental features on board, so let's take a closer look. PyTorch Mobile was first introduced in PyTorch 1.3 as an experimental release. It should provide an "end-to-end workflow from Python to deployment on iOS and Android," as the website states. In the latest release, PyTorch Mobile is still experimental but has received additional features.

Facebook Inc. today updated its popular artificial intelligence software framework PyTorch with support for new features that enable a more seamless AI model deployment to mobile devices. PyTorch is used by developers to research and build AI models for software applications, and then move those apps straight to production thanks to its integration with leading public cloud platforms. PyTorch was first built by Facebook's AI research group as a machine learning library of functions for the programming language Python. It's primarily designed for use with deep learning, which is a branch of machine learning that attempts to emulate the way the human brain functions. It has led to major breakthroughs in areas such as language translation and image and voice recognition.

Google Assistant wants to tell you some good news. A new skill aims to give users a reprieve from the oft-depressing daily news cycle by making it easier for them to find more uplifting headlines. Now, users can ask Google Assistant to'Tell me something good,' and it will trigger a'daily dose of good news,' according to the search giant. Google says the skill is launching as an'experimental feature' that's now available on any devices that are equipped with Assistant, such as phones, smart displays and the Google Home, the firm's voice-activated smart speaker. Assistant will serve up stories that are primarily focused around people who are doing things to help their communities and the world, Google explained.