Ever since the ChatGPT API opened up, all sorts of apps have been strapping on AI functionality. I've personally noticed this a lot in email clients: Apps like Spark and Canary are prominently bragging about their built-in AI functionality. The most common features will write replies for you, or even generate an entire email using only a prompt. Some will summarize a long email in your inbox or even a thread. It's a great idea in the abstract, but I think integrations like these conspire to make communication less efficient instead of more efficient. You should feel free to try such features--they're fun!--but don't expect them to change your life.

An Apple expert revealed the upcoming iPhone 15 will be a game-changer, so much the 250 million iOS users who have not upgraded in four years will run to grab one. Dan Ives, an industry insider with Wedbush Securities, predicts the new smartphone will have more battery power, better camera tech, a new design, and a $100 to $200 increase. The managing director believes the Health app could have AI capabilities to improve data collection on heart rate, breathing and sleeping. And there might be a separate App Store dedicated to AI-powered apps. AI powers Apple's Siri, but the tech giant has yet to add the tech to other aspects of its devices - putting it behind the likes of Google, which added the software to its Pixel cameras.

When classrooms and conference rooms abruptly moved online three years ago, we all experienced moments of technical frustration. Whether dealing with connectivity issues or clumsy virtual interactions, which were sometimes accompanied by awkward background noises, we persisted. Fortunately, the education sector had time to smooth out some of these wrinkles, especially with improved connectivity and advancing technology such as artificial intelligence (AI). Having seen such positive changes firsthand, Elliott Levine, director of worldwide public sector and education at Qualcomm Technologies, Inc. is excited about the newest technologies and their impact on the learning experience. Before transitioning to EdTech, Levine enjoyed 30 years working in various positions in K-12 and higher ed.

Beyond common features like ML and automation, CRM products can vary dramatically as each vendor takes AI in its own direction. The following AI-powered CRM platforms -- including Salesforce Einstein, IMB Watson and Azure Cognitive Services -- have their own strengths and weaknesses. Salesforce Einstein is the vendor's AI that powers many features in the Salesforce Customer Success Platform. Einstein's weaknesses include modest visualization features and limited or unproven utility beyond the sales and marketing domains. IBM Watson is an AI system that organizations can apply in various use cases, such as advertising, customer service, financial operations and sales.

Artificial intelligence (AI) is quickly being adopted in the medical field, meaning many medical devices are starting to incorporate AI capabilities. These AI capabilities include enhanced imaging systems, smart robots, wearable technology, AI-based data analysis, simulation platforms and more. While technology is ever-changing in medicine, the Covid-19 pandemic has expedited the process of digitalising healthcare, including a need for'smarter' medical devices. AI capabilities are being used in many areas of medicine and are quickly growing in popularity. GlobalData forecasts that AI platform revenue will reach $52bn by 2024.

Artificial intelligence (AI) has developed strongly in recent years in many professional sectors (collaborative industrial robots, inspection and maintenance robots, autonomous mobility systems, etc.) and in the home (personal assistance robots, medical devices, personal assistants, etc.), making it necessary to be able to reliably demonstrate the levels of performance, robustness, ethics and explicability achieved by the different AI solutions. Thanks to our dual expertise in certification and evaluation of AI algorithms, LNE has decided to create a voluntary certification in this field that meets the needs of market players. To build the certification standard and meet the need for trusted solutions, LNE has set up (in 2020) a working group representative of the AI community, bringing together developers, evaluators and end users of algorithms. It also collected opinions through a public call for comments. This standard aims to define common requirements for the design, development, evaluation and maintenance processes of all types of AI functionalities using machine learning. It therefore covers all business sectors in which AI is used, in order to ensure the application of best practices that promote confidence in AI.

Keeping up with technology at home and at work can be challenging and it may take you out of your comfort zone. However, artificial intelligence (AI) can transform life around your home for the better with its convenient factors and dynamic functionality. Before you put a pause on your home tech upgrades, you'll want to consider what the latest generation of AI solutions can do to improve life at home. Artificial intelligence refers to the engineering of intelligent machines, designing them in such a way to simulate human intelligence. Of course, 'human' is a misnomer here.

It's an essential prerequisite for deciding how we want critical decisions about our health and well-being to be made -- possibly for a very long time to come. To understand why the "how" behind AI functionality is so important, we first have to appreciate the fact that there have historically been two very different approaches to AI. The first is symbolism, which deals with semantics and symbols. Many early AI advances utilized a symbolistic approach to AI programming, striving to create smart systems by modeling relationships and using symbols and programs to convey meaning. But it soon became clear that one weakness to these semantic networks and this "top-down" approach was that true learning was relatively limited.

The advances made over the last few years in the field of artificial intelligence (AI) are allowing this technology to permeate into all areas of industry, creating "smart" applications and even smart industries. This revolution has created the AIoT, which is a morphing of AI and IoT. You could make an argument that the previous winners of the IoT explosion were the sensor makers and the Cloud providers. The latter were especially successful in that it was the keeper of the data--more data than most individuals could wrap their arms around. The next step, which was taken by most Cloud vendors, was to provide analytics to its customers: "You have all this data. Now you need to make use of it."

The term "artificial" doesn't really do the next generation, with the attitude of "how we will get things done," justice. Artificial refers to a machine doing the work rather than a human, and the "Augmented Intelligence" might be more appropriate. Many agree that repetitive tasks and to-dos should be done by someone other than humans. Take a robotic vacuum, for example. As I write this, I am vacuuming or should I say Ivan is vacuuming.