Information Technology


Ford's self-driving cars may have delivery robots because humans are too lazy

FOX News

Fox News Flash top headlines for May 22 are here. Check out what's clicking on Foxnews.com Ford is developing self-driving delivery vehicles it plans to launch in 2021, but there's a problem. If there isn't a driver, who's going to bring the package or pizza to your door? In tests with faux-autonomous Domino's Pizza cars, Ford discovered that a lot of people were simply too lazy to make the trip to the curb to get their orders from the car themselves, so it came up with the obvious solution: robots.


Why Google believes machine learning is its future

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One of the most interesting demos at this week's Google I/O keynote featured a new version of Google's voice assistant that's due out later this year. A Google employee asked the Google Assistant to bring up her photos and then show her photos with animals. She tapped one and said, "Send it to Justin." The photo was dropped into the messaging app. From there, things got more impressive.


Three Ways To Leverage AI And Keep Pace With The Future Of Digital Marketing

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From personal assistants to legal counsel on parking fines, artificial intelligence (AI) and machine learning (ML) have established their potential as disruptive technology that will alter industries. With each passing day, further discoveries enable AI to become more sophisticated and viable in our world. Naturally, like all things digital, AI has had a profound impact on digital marketing as well. From Google's RankBrain search engine algorithm to Amazon's personalized recommendations, it is powering the world's leading organizations and changing the face of the modern digital marketing landscape. Currently, I work as senior vice president of marketing at CUJO AI, an AI-driven network security and intelligence company.


Maixduino SBC Combines RISC-V AI, Arduino Form Factor, and ESP32 Wireless Module

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Last year RISC-V cores made it into low-cost hardware with neural network and audio accelerator to speed up artificial intelligence workloads at the edge such as object recognition, and speech processing. More precisely, Kendryte K210 dual-core RISC-V processor was found in Sipeed MAIX modules and boards going for $5 and up. Since then a few other variants and kits have been made available including Seeed Studio Grove AI HAT that works connected to a Raspberry Pi or in standalone mode. Seeed Studio has now released another board with Kendryte K210 RISC-V AI processor, but based on Arduino UNO form factor and equipped with an ESP32 module for WiFi and Bluetooth connectivity. Typical applications would include smart home (robot cleaners or smart speakers), medical devices, factory 4.0 (intelligent sorting or monitoring of electrical equipment), as well as agriculture, and education.


IBM Welcomes OECD Principles for the Development and Use of AI

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BRUSSELS, BELGIUM – IBM today issued the following statement welcoming the Organization for Economic Cooperation and Development's (OECD) release of new Principles on Artificial Intelligence: "The OECD's Principles on AI provide sound policy guidance for governments and stakeholders around the world that are working to advance responsible, human-centred AI. IBM is proud to have contributed our deep AI expertise to their development, and we fully agree in our own guidance to governments with the OECD's view that AI must be fair, explainable and secure. We also support their emphasis on the need for greater investment in AI skills and research. "In the 1980s, OECD guidelines on data protection and privacy provided the essential, international foundation for privacy legislation enacted by many countries. The organization is well-positioned to provide a similar global basis for balanced and consistent approaches to AI policies that prioritize trust and maximize the benefits to society while mitigating risks.



Drones may soon come with 'spidey-senses' as tiny detectors pick up on vibrations

Daily Mail - Science & tech

Drones and self-driving cars may soon come with'spidey' senses. That's according to engineers in America, who believe the unmanned machines would benefit from sensory detectors similar to those often seen in arachinds. Specifically, they're referring the hairs on a spider's legs, which are linked to special neurons called mechanoreceptors, which flag-up danger through vibrations. If machines had similar characteristics, they'd be able to navigate more effectively in dangerous environments. Until now, sensor technology hasn't always been able to process data fast enough, or as smoothly, as nature.


Machine Learning And Data Privacy: Contradiction Or Partnership?

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The battle for future markets and bigger market shares is in full swing. The world's most influential companies are in a steady race to develop better automated systems and, in turn, boost artificial intelligence technology – taking them ahead of their competitors. By 2020, AI is expected to turn over more than 21 billion euros worldwide. However, further development of machine learning and artificial intelligence technologies seems to be blocked by a major obstacle: data privacy. The more data is consumed, the better these computer algorithms can recognize and capture patterns in the data.


A Futuristic Reality: Harnessing The Power Of The Three Layers Of Machine Learning

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Google Assistant can draw on voice command, as seen here at the Google I/O conference in 2018, with the help of machine learning techniques. Artificial intelligence systems powered by machine learning have been creating headlines with applications as varied as making restaurant reservations by phone, sorting cucumbers, and distinguishing chihuahuas from muffins. Media buzz aside, many fast-growing startups are taking advantage of machine learning (ML) techniques like neural networks and support vector machines to learn from data, make predictions, improve products, and enhance business decisions. Unfortunately "machine learning theater" – companies pretending to use the technology to make theirs seem more sophisticated for a higher valuation – is also on the rise. Undeniably, ML is transforming businesses and industries, with some more likely to benefit than others.


Q&A: Travel startup paves way for industry consolidation (Includes interview)

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In May 2019 Google announced the consolidation of all its travel features. Google Maps, Trips, Hotels and Flights will combine to make one Google Travel, easing the process for vacation planning. Travel startup VacationRenter, which launched last year, pioneered this model for vacation rentals, based on an artificial intelligence driven platform. According to VacationRenter's newly appointed COO, ex-Googler Marco del Rosario, both Google Travel and VacationRenter are early adopters of a pivotal strategy for today's travel technology: consolidation. Digital Journal: How has the world of travel changed in recent years?