The decision is part of the new Digital Marketplaces Act (DMA), which will come into force in March. The changes will allow users in the EU, European Economic Area and Switzerland to use many of Meta’s services without their data being shared between the different platforms.

Users will be able to use Facebook Messenger as a standalone service without having a Facebook account. Users whose Instagram and Facebook accounts are linked will be able to separate them and function as two separate social platforms.

Facebook Marketplace and Facebook Gaming users will also be able to access these services without the information from their main Facebook accounts.

However, Meta stresses that this choice will result in a reduction in functionality.

The company says that users will be notified of the coming changes in the next few weeks.

The DMA pertains to six prominent technology firms, mainly based in the United States, including Meta, which are identified as “gatekeepers.”

Beyond overseeing the sharing of data among gatekeepers’ services, the DMA involves a comprehensive set of regulations designed to promote competition and establish a fair business environment for those reliant on gatekeepers for service provision.

Anticipated significant alterations in the European Union due to the DMA involve fostering interoperability among messaging services like WhatsApp and Facebook Messenger with competitors, as well as requiring Apple to allow sideloading on iOS – Bernama.

According to Bloomberg’s latest data, more than 700 employees are prepared to leave if the fired Sam Altman and Greg Brockman are not returned to their positions at the company.

CTO Mira Murati, who briefly took over the leadership role over the weekend, stressed at X that “OpenAI is nothing without its people.”

Altman and Brockman are said to have been involved in key discussions with the OpenAI board over the weekend in a bid to win back their positions. However, those talks did not result in a favorable outcome for the former CEO and chairman. Late on Sunday evening, it was revealed that the board had chosen to appoint former Twitch CEO Emmett Shearer as interim CEO of OpenAI, developer of the viral artificial intelligence chatbot ChatGPT.

Shear, the co-founder of Twitch, served as the company’s CEO until March of this year. In a surprising move, he resigned just before a significant round of layoffs, and Twitch experienced another round of layoffs last month.

Concurrently, the unexpected leadership shift at OpenAI has raised eyebrows, given Altman’s prominent role as the face of generative AI and his pivotal contribution to transitioning the AI firm from a non-profit organization to a commercially viable entity.

It’s worth noting that Altman’s departure from the company was reportedly due to a perceived lack of transparency in his communications, as reported by the media. Allegedly, he clashed with board members who expressed concerns about the pace of his initiatives, particularly regarding the safety implications of a technology that, if unregulated, could produce content with potential harm to the public. Shear’s appointment at OpenAI follows Altman’s dismissal on Friday, with the board citing a lack of “consistent candor in his communications.”

Will Sam Altman be brought back or will OpenAI remain uncompromising in its decision? Keep an eye out for details.

This tool aims to address the challenges associated with generative artificial intelligence that is powered by large language models (LLMs), or model-based. While such AI models offer a variety of business use cases, they also bring risks and complexities, such as using untested training data and generating results that are not explainable, IBM explained.

Watsonx.governance is designed to help organizations manage these risks, increase transparency and prepare for compliance with future regulations targeting AI.

“Company boards and CEOs are looking to reap the rewards from today’s more powerful AI models, but the risks due to a lack of transparency and inability to govern these models have been holding them back,” said Kareem Yusuf, Ph.D, senior vice president of product management and growth at IBM Software.

“Watsonx.governance is a one-stop-shop for businesses that are struggling to deploy and manage both LLM and ML models, giving businesses the tools, they need to automate AI governance processes, monitor their models, and take corrective action, all with increased visibility. Its ability to translate regulations into enforceable policies will only become more essential for enterprises as new AI regulation takes hold worldwide”, he added.

IBM Consulting has expanded its strategic capacities to support clients in the responsible expansion of AI. This encompasses automated model governance and organizational governance that spans people, processes, and technology.

IBM consultants are adept at establishing AI ethics boards, influencing organizational culture, delivering training, overseeing regulations and risks, and tackling cybersecurity threats, all with a focus on human-centric design. Watsonx.governance is integrated into the IBM Watsonx AI and data platform, featuring AI assistants, the watsonx.ai enterprise studio, and the watsonx.data governed data store. Furthermore, IBM has implemented intellectual property protection for its watsonx models.

Today, we’ll take a look at some of the basic programming languages needed to develop Android apps, according to Analytics Insight. And while Kotlin is the official language of the platform, that doesn’t limit the use of other languages.

Basic Programming Languages for Android App Development

JavaScript
Did you know JavaScript is the most used language on the internet. The increase in popularity of frameworks like jQuery, Angular, Vue, Svelte, and React.Js has increased the popularity of JavaScript. The nice thing about JavaScript is that it is a language that can be used to design front-end GUIs, back-end servers, and even mobile apps. You may create cross-platform apps for iOS and Android mobile devices using the well-liked JavaScript framework React Native. JavaScript is a fantastic option due to its widespread appeal and popularity.

Java
Initially, Java served as the official language for developing Android apps (Kotlin has since taken its place), and as a result, it is also the most popular language. Java is the most supported language by Google and is used to create many apps in the Play Store. In addition to all of this, Java has a fantastic online community for help. The Android Software Development Kit (SDK) raises the degree of complexity. Java could be difficult for novices, who would rather get started with something simpler and return to it later.

Dart
Dart’s primary selling point is that Google created it as a client-optimized language for quick programs on any platform. Dart’s primary goal is to facilitate UI creation for programmers by using features like hot-reload, which enables programmers to view changes immediately as they are made to the application. Dart is renowned for quick performance and for compiling machine code for ARM and x64 for mobile, desktop, and backend. And for web applications, JavaScript.

What is AI CICERO?

Meta AI Research recently provided CICERO, an artificial intelligence that can beat most humans at the strategy game Diplomacy, a game that requires coordinating plans with other players. CICERO combines chatbot-like dialogue capabilities with strategic reasoning and recently placed first in an online Diplomacy tournament against human players.

Games have long been a testing ground for new AI breakthroughs, from Deep Blue’s victory over chess grandmaster Garry Kasparov, to AlphaGo’s mastery of the game of Go, to Pluribus beating the best humans in poker. Truly useful and versatile players will need to go beyond simply moving pieces around the board. Can we create more effective and flexible agents that can use language to negotiate, persuade, and work with people to achieve strategic goals, similar to the way humans do?

Unlike games like Chess and Go, diplomacy is a game about people, not pieces. If a player can’t recognize that someone is probably bluffing or that another player would perceive a particular move as aggressive, they will quickly lose the game. Likewise, if he doesn’t talk like a real person – showing empathy, building relationships, and speaking with knowledge of the game – he won’t find other players willing to work with him.

Key to the achievement is the development of new techniques at the intersection of two completely different areas of AI research: strategic thinking, used in players like AlphaGo and Pluribus, and natural language processing, used in models like GPT-3, BlenderBot 3, LaMDA, and OPT-175B. CICERO can, for example, infer that it will need the support of one particular player later in the game, and then develop a strategy to gain that person’s favor – and even recognize the risks and opportunities that player sees from its particular perspective.

What does it mean? In fact, all these improvements enable running the Stable Diffusion text-to-image model on Apple Silicon-powered devices with the latest iOS or macOS versions – iOS 16.2 and macOS 13.1.

Stable Diffusion has been very well received by the community of artists, developers and hobbyists since its debut in 2022. The reason why is the ability to create unprecedented visual content with just a text prompt. In recognition, the community has in a matter of weeks built an extensive ecosystem of extensions and tools around this core technology. There are already methods that personalize Stable Diffusion, extend it to languages other than English, and more, thanks to open-source projects like Hugging Face diffusers.

Developers are discovering many more creative uses of Stable Diffusion such as image editing, in-picture painting, out-of-picture painting, super resolution, style transfer, and even color palette generation. With the growing number of applications, it is important to ensure that developers can use this technology effectively to create applications that creatives everywhere will be able to use.

There are a lot of reasons why on-device deployment of Stable Diffusion in an app is preferable to a server-based approach. The privacy of the end user is protected because any data the user provided as input to the model stays on the user’s device. After initial download, users don’t require an internet connection to use the model. And locally deploying this model enables developers to reduce or eliminate their server-related costs.

Getting to a compelling result with Stable Diffusion can require a lot of time and iteration, so a core challenge with on-device deployment of the model is making sure it can generate results fast enough on device. This requires executing a complex pipeline comprising 4 different neural networks totaling approximately 1.275 billion parameters.

Optimizing Core ML for Stable Diffusion and simplifying model conversion makes it easier for developers to incorporate this technology in their apps in a privacy-preserving and economically feasible way, while getting the best performance on Apple Silicon.

This release comprises a Python package for converting Stable Diffusion models from PyTorch to Core ML using diffusers and coremltools, as well as a Swift package to deploy the models. To get started, visit the Core ML Stable Diffusion code repository for detailed instructions on benchmarking and deployment.

In the past year, Mindspace launched new branches in London, Tel Aviv, Philadelphia and a new hub and spoke location outside Tel Aviv, at Yakum. Mindspace serves a wide variety of companies; about 41% are large enterprises and corporations and 38% are small and medium-sized companies. The leading industry types of its customer base are technology companies, financial companies and service providers. Past and present customers include Microsoft, Samsung, Playtika, Taboola, Yahoo!, Expedia, GoPro, and more.

While most of the commercial real estate industry took a hit as a result of COVID, the flex market continued to grow. All forecasts predict the accelerated growth of the flex industry to reach a market share of more than 30% by 2030; the current market share of flex as part of commercial real estate is 5%. According to a recent study by CBRE, in two years 43% of occupiers will have 10-50% of their portfolio dedicated to flex. In addition, 17% of occupiers will have more than 50% of their portfolio dedicated to flex. Zakai said:

“Mindspace is experiencing an impressive growth momentum and high demand in all its locations,” says Dan Zakai, CEO and Co-founder of Mindspace. “We successfully faced the many challenges of COVID. Today, our locations are almost at full occupancy and the current investment led by Harel Insurance and More Provident Funds is intended to fulfill the rising demand in the market and to launch new locations in partnership with landlords worldwide. Mindspace isn’t just another real estate company that rents out offices, but rather offers a strong, strategic partnership to its customers and to landlords. When choosing their office environment, we found that our customers put a great emphasis on their experience: central location, unique design and service of the highest standard. We expect a continued accelerated growth in 2022, while creating a great added value for our many customers.”

Mindspace provides well designed offices, fully equipped kitchens and meeting rooms. Mindspace allows for flexibility, shorter term commitments and lower financial risk, which is a suitable solution in times of economic slowdown.

You might know how a basic API works. An Application Programming Interface (API) provides a platform where two sites or software can interact. It can act as a building block that helps you automate your repetitive tasks and develop more functionality.

For example, if you need to make an account on a website using Facebook, then it will extract your details out of facebook.com with the help of Facebook API. Next, the back end team of that website utilizes your details and creates your account on it.

Similarly, news APIs can connect between online news and applications. They help you in different ways when you:

• Create coverage reports automatically for your clients
• Utilize news stories in the form of a data source to be used in advanced AI apps
• Predict the results of elections

For this, you need an efficient way to obtain machine-readable data methodically and automatically from different news websites. You can scan, analyze, and enrich this data to serve various use cases that you have planned.

What are its different types?

• APIs for a particular online news site such as the Guardian: Here, the data type and amount are based on that specific site, but the full article text appearing on the original site might not be provided.
• A news story feed is linked to original websites or publications.
• Structured data retrieved from different news sites and served as a service.

How to choose the right news API?

If you are convinced to go ahead with a news API, next, you need to choose the right one that justifies your needs.

Below mentioned are some of the things you should keep in mind while choosing a news API:

• Coverage: Think which kind of media outlet you want to cover – only the big news sites such as the New York Times, or you want to combine some prominent blogging sites that are relevant as well.
• Language: Check what languages you want the data or the results in. Is it only English or any other language as well?
• Headlines or full text: Many APIs provide just the headlines or the news stories’ snippets, which might not be resourceful for textual analysis. So, if you need them, go for an API that can provide you with full text and news articles’ headlines.
• Usability: Every API must be easy to use and comfortable for your team and developers. Hence, before choosing a news API, check its documentation and conventional standards it follows. Determine how it integrates with other tools. For better understanding, you can try its free trial version, if available. If you like it, then you are good to go.

Now, let’s quickly get to some of the best global news APIs that you can use to extract data and build your products.

News API

News API is yet another REST API, which is simple and lightweight. It returns JSON metadata relevant for articles and headlines that are spread across the web. The API covers wide-ranging markets, including sources from over 55 countries. With News API, everything is fast and asynchronously cached to deliver a quick response.

In case you are still in the developmental stage, you can enjoy a free trial. The news API supports effortless integration with the help of HTTP GET requests to get results in JSON. It also includes a source filter using which you can extract data from your desired list of sources.