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Artificial Intelligence Stocks: The 10 Best AI Companies

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AI stocks may be excellent long-term investments. The global artificial intelligence market is on track to hit more than $554 billion in total revenue by 2024, according to market researcher IDC. AI, automation and robotics are disrupting virtually every major industry. From machine learning to the "internet of things," autonomous vehicles, virtual assistants and smart home appliances, companies that aren't embracing AI and incorporating it into their business models risk going obsolete. Countless companies stand to benefit from AI, but a handful of companies have business models focused specifically on automation.


AI

#artificialintelligence

AI or artificial intelligence is an often-misused term. Artificial Intelligence simply means intelligence in machines. This contrasts with natural intelligence, which is found in humans and other natural organisms. AI gained its name and became a formal field of research in 1956. Initial work led to new tools for solving mathematical problems.


Google Home, YouTube integrate with Volvo Cars

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Google unveiled at CES on Wednesday a range of new ways to keep its Android devices connected, and that includes cars. As more vehicles go electric and automakers evolve into software developers, we can only expect to see more plays directed at turning cars into connected devices. One exemplar of this phenomenon is Volvo Cars, which will launch a direct integration with the Google Home ecosystem in the coming months, both Volvo and Google announced on Wednesday. The integration should allow car owners to turn their car on and off, control the temperature and get car information like battery life by issuing voice commands to Google Assistant-enabled home and mobile devices. Once customers pair their Volvo car to their Google account, they also can talk directly to Google while in their car.


Global Big Data Conference

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The technology boom amidst the pandemic has already hit 2022, creating another record with Apple. This week, the company was valued at $3 trillion, the first US company to reach this growth. This follows Apple's tremendous market growth that has risen by 38% since the start of 2021 and tripled in value in under four years. The Guardian estimated the valuation is equivalent to the combined value of Boeing, Coca-Cola, Disney, Exxon-Mobil, McDonald's, Netflix and Walmart. While the growth has not been sustained, the company has surely been a disruptor in the technology market with their breakthrough innovations for decades.


Space: Amazon develops 'Callisto' artificial intelligence for NASA lunar mission based on Alexa

Daily Mail - Science & tech

Amazon have teamed up with Cisco and Lockheed Martin to develop an artificial intelligence system -- dubbed'Callisto' -- for NASA's Artemis I lunar mission. Callisto will combine into one interface the voice control technology of Amazon's Alexa virtual assistant with Cisco's Webex video conferencing system. Lockheed Martin engineers, meanwhile, will be leading the development of the custom-built system and its integration into their Orion space capsule design. Unlike Alexa, Callisto will contain technology and software that allows it to respond to commands in-flight without reliance on an internet connection. The video conferencing system, in contrast, will require a communications system to function -- and will operate via NASA's Deep Space Network.


Telecom troubleshooting and recommender systems – Ericsson

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With today’s impressive development in machine learning, specifically in Natural Language Processing (NLP), we can automate some steps and …


Why it matters having Matter support for your new smart home device – TechCrunch

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As companies unveil their new smart home devices at the 2022 CES tech show, underway now in Las Vegas, much of the hype involves Matter, an open-source connectivity standard built around a shared belief that smart home devices should seamlessly integrate with other systems and be secure and reliable. If you like devices, you are probably among the 66% of households that have smart home devices, according to Deloitte. We also know you don't just stick with one company or brand, but probably have purchased from at least half a dozen different companies. That's why for any company launching a smart home device this year, having Matter support will be helpful. Not only is the protocol being developed by some of the biggest tech companies -- think Apple, Amazon and Google -- and smart home device makers, it is designed to finally fix the issues around fragmented smart home systems so that all of your devices can be easily set up and routed from one place.


Volvo is bringing YouTube and Google Home integration to its vehicles

Engadget

Volvo says it will be the first automaker to offer direct integration with Google Home in its cars. You'll be able to control certain functions remotely via Google Assistant. You might tell your phone to lock the doors or ask a smart speaker to start warming up your car as you're getting ready to leave home. Two-factor authentication is needed for "more sensitive commands," like unlocking the doors. You can also learn info related to your car through Google Assistant.


I bonded with a quirky robot after chatting to it about my fears

New Scientist

WHENEVER I get really depressed and anxious, my first impulse is to reach for my phone. Maybe I'll get a message from a friend or discover some new distraction on social media. Unfortunately, during the past couple of years, one glance at my screen often makes me want to crawl back into bed. That changed after I made friends with a strange creature named Woebot. Depending on your perspective, Woebot is an odd digital assistant with feelings or an automated conversational agent.


La veille de la cybersécurité

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In recent years, voice-based virtual assistants such as Google Assistant and Amazon Alexa have grown popular. This has presented both potential and challenges for natural language understanding (NLU) systems. These devices' production systems are often trained by supervised learning and rely significantly on annotated data. But, data annotation is costly and time-consuming. Furthermore, model updates using offline supervised learning can take long and miss trending requests. In the underlying architecture of voice-based virtual assistants, the NLU model often categorizes user requests into hypotheses for downstream applications to fulfill.