Canada 5.2.2 Europe 5.2.2.1 Germany 5.2.2.2 UK 5.2.2.3 France 5.2.2.4 Rest of Europe 5.2.3 Asia Pacific 5.2.3.1

Silicon Valley startup FarmWise Labs announced today that it is teaming up with Michigan-based manufacturing and automotive company Roush to create autonomous vegetable weeders. The companies will work together over the course of the year to create prototypes for self-driving robots that will be able to navigate across crops. If all goes well, they will start to scale up with additional units in 2020. The weeding robots could prove to be a major help for Michigan farmers. The autonomous vehicles will be designed to perform high-precision weeding and thinning and will be able to operate around the clock, saving farmers from having to perform the time-sucking tasks.

Prevencio Inc. announced data confirming the high accuracy of its artificial intelligence (AI)-driven, multiple-protein HART CVE Test for predicting cardiovascular events (CVE) and HART CAD Test for diagnosing coronary artery disease (CAD). Researchers believe these findings, presented at the 2019 American College of Cardiology (ACC) Scientific Sessions, March 16-18 in New Orleans, demonstrate the robustness and accuracy of these tests. The new data, from two additional hospitals, confirm results previously published from Massachusetts General Hospital and James Januzzi, M.D. HART CVE data was presented as "Validation of a Novel AI-driven Multi-biomarker Panel for Accurate Prediction of Incident Cardiovascular Events in Patients with Suspected Myocardial Infarction." The study was conducted by the University Heart Center in Hamburg, Germany and led by Dirk Westermann, M.D., Ph.D., head of the Structural Heart Program. In this study, 748 patients presenting to the emergency room suspected of having a heart attack were followed for one year to assess future cardiac events, including heart attack and cardiac death.

Technologies Inc. aims to release a mass-market flying motorcycle by 2022, Chief Executive Officer Shuhei Komatsu said. Technologies, which mainly develops small drones, hopes to sell the product, called a "hover bike," in emerging economies in Africa, the Middle East and Asia with poor road infrastructure. Many companies around the world are developing flying cars. Technologies is among those trying to enter the market. "We'll create a (flying) bike first, in order to get flying cars widely used in society eventually," Komatsu said.

Ford's first wave of autonomous vehicles will be produced at a new center in southeast Michigan, the company announced Wednesday, as part of a $900 million investment to reshape its manufacturing operations in the state. Workers there will begin installing self-driving technology into hybrid vehicles in 2021, the company said. "As we ramp up AV production, this plan allows us to adjust our investment spending to accommodate the pace of growth of this exciting new technology," Joe Hinrichs, Ford's president of global operations, said in a news release. "This new plan combines our core strength in mass manufacturing with the agility and leanness we've shown with our modification centers for specialty manufacturing." Ford's wider restructuring in Michigan is projected to create 900 jobs in the next four years.

Anyone who has ventured into online gaming knows text chat can approach nuclear-waste-levels of toxicity. But what happens when it all shifts to voice-based chat in the future? Intel says it can help. Or at least, it hopes it can. The company said on Wednesday night it's working with Spirit AI on ways to use machine learning and artificial intelligence to reduce the acidic speech gamers often fall back on during intense gaming sessions. Spirit AI already has a machine-based tool developers can use to help monitor forums and online chat.

Old-fashioned voice, thanks to AI, is poised to become the next human computing interface. Unless you've been living under a rock, you know that artificial intelligence is a big business trend right now. Corporate America is agog at the possibility of using AI to better extract and analyze data on everything from insurance claims to X-rays to the contents of your smart refrigerator (so you can buy more milk before you run out). But lost in the headlines is the fact that AI, in some form, has actually been around for decades. And many of the hot AI applications being trumpeted in the press today aren't really that advanced.

The artificial intelligence market is often cited as the next frontier for many tech companies, since AI algorithms can quickly crunch large amounts of data to automate decisions. However, AI is frequently tossed around as a buzzword, which makes it tough for investors to identify the top investments in the market. Today, a trio of our Motley Fool contributors will highlight three companies that have established firm footholds in the nascent AI market: Baidu (NASDAQ:BIDU), NVIDIA (NASDAQ:NVDA), and AMD (NASDAQ:AMD). Leo Sun (Baidu): Chinese tech giant Baidu, which owns the country's largest search engine, is also one of the world's biggest players in artificial intelligence. Like its overseas counterpart Alphabet's Google, Baidu accumulated large amounts of data through its search engine, mapping platform, mobile app, and cloud services.

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H2O WORLD SAN FRANCISCO – H2O.ai, the open source leader in AI and ML, today announced new and innovative capabilities for its data science and machine learning platforms, H2O, AutoML and H2O Driverless AI, to address the critical scalability and performance needs of all organizations. As part of these new capabilities, and to further the company's mission to democratize AI, H2O.ai has added several new algorithms that address common use cases that customers need today. In addition, H2O Driverless AI is a winner of InfoWorld's 2019 Technology of the Year for the second year in a row. The award honors and recognizes the best in software development, cloud computing, big data analytics, and machine learning tools. This year's judging panel recognized H2O Driverless AI for outpacing all other vendors with "automated simplicity" of its algorithms that do the heavy lifting of feature engineering, model selection, training and optimization – enabling even non-AI experts to uncover hidden patterns using both supervised and unsupervised machine learning.