SoftBank Group Corp. Chairman and CEO Masayoshi Son said Thursday that Japan has become an "underdeveloped" country in the use of artificial intelligence in businesses, lagging behind China, India and Southeast Asian countries that have fast-growing technology companies. "Japan once was a leader in technology but has become an underdeveloped country in AI. It is in a pretty bad situation so Japan needs to awaken," Son told an audience at a company event in Tokyo. Among the audience were Ritesh Agarwal, CEO of Indian hotel operator Oyo Hotels & Homes, and Anthony Tan, CEO of ride-hailing company Grab Holdings Inc. of Singapore. Oyo and Grab are among over 80 AI startups in which SoftBank Group's $100 billion Vision Fund has invested.
Over the last few days the #faceappchallenge has taken over social media. This "challenge" involves downloading a selfie-editing tool called FaceApp and using one of its filters to digitally age your face. You then post the photo of your wizened old self on the internet and everyone laughs uproariously. You get a small surge of dopamine from gathering a few online likes before existential ennui sets in once again. On Monday, as the #faceappchallenge went viral, Joshua Nozzi, a software developer, warned people to "BE CAREFUL WITH FACEAPP….it Some media outlets picked this claim up and privacy concerns about the app began to mount. Concern escalated further when people started to point out that FaceApp is Russian. "The app that you're willingly giving all your facial data to says the company's location is in Saint-Petersburg, Russia," tweeted the New York Times's Charlie Warzel. And we all know what those Russians are like, don't we? They want to harvest your data for nefarious ...
By Ariel Procaccia Last March, McDonald's Corp. acquired the startup Dynamic Yield for $300 million, in the hope of employing machine learning to personalize customer experience. In the age of artificial intelligence, this was a no-brainer for McDonald's, since Dynamic Yield is widely recognized for its AI-powered technology and recently even landed a spot in a prestigious list of top AI startups. Neural McNetworks are upon us. Trouble is, Dynamic Yield's platform has nothing to do with AI, according to an article posted on Medium last month by the company's former head of content, Mike Mallazzo. It was a heartfelt takedown of phony AI, which was itself taken down by the author but remains engraved in the collective memory of the internet.
Eta Compute has developed a high-efficiency ASIC and new artificial intelligence (AI) software based on neural networks to solve the problems of edge and mobile devices without the use of cloud resources. Future mobile devices, which are constantly active in the IoT ecosystem, require a disruptive solution that offers processing power to enable machine intelligence with low power consumption for applications such as speech recognition and imaging. These are the types of applications for which Eta Compute designed its ECM3531. The IC is based on the ARM Cortex-M3 and NXP Coolflux DSP processors. It uses a tightly integrated DSP processor and a microcontroller architecture for a significant reduction in power for the intelligence of embedded machines.
To simplify the path toward enterprise AI, organizations are turning to IBM Watson Studio and Watson Machine Learning. Together with IBM Watson Machine Learning, IBM Watson Studio is a leading data science and machine learning platform built from the ground up for an AI-powered business. It helps enterprises simplify the process of experimentation to deployment, speed data exploration and model development and training, and scale data science operations across the lifecycle.
Lia's creator Soul Machines is developing digital humans, complete with digital brains, who are portrayed by actual humans. Verizon's Labs showcases innovators like Soul Machines to explore how 5G networks support cutting edge technology that contributes to the betterment of society. Having the speed and bandwidth of a 5G connection is critical to ensuring that digital interactions feel humanized. In human-to-human engagement, the brain rapidly identifies and processes data points such as tone and non-verbal cues. In digital-to-human engagement, mimicking human-like interactions requires 5G's bandwidth and speed.
According to BlueWeave Consulting, The Global Artificial Intelligence (AI) Robots Market is expected to grow with a significant rate during the forecast period 2019-2025, owing to Increased efficiency and effectiveness demands of robots coupled with proliferated increasing usage of robotics in various industries. The increasing developments in the field of artificial intelligence, there has been an increasing shift towards providing autonomy to the machine will foster the global Artificial Intelligence (AI) Robots Market in the forecast period. Furthermore, organizations are seeking cheaper and more efficient labor given mounting labor costs, particularly in highly-specialized fields where employers have to bid up for top talent will accelerate the growth of the Artificial Intelligence (AI) Robots market. On the basis of Robot Type, the Artificial Intelligence (AI) Robots market has been segmented into Service and Industrial. Service dominates the global Artificial Intelligence (AI) Robots on account of increasing application use outside of a manufacturing facility within a professional setting like intended to interact with people, typically deployed in retail, hospitality, healthcare, warehouse or fulfillment set.
Organizations that are working with artificial intelligence (AI) or machine learning (ML) have, on average, four AI/ML projects in place, according to a recent survey by Gartner, Inc. Of all respondents, 59% said that they have AI deployed today. The Gartner "AI and ML Development Strategies" study was conducted via an online survey in December 2018 with 106 Gartner Research Circle Members – a Gartner-managed panel composed of IT and IT/business professionals. Participants were required to be knowledgeable about the business and technology aspects of ML or AI either currently deployed or in planning at their organizations. "We see a substantial acceleration in AI adoption this year," said Jim Hare, research vice president at Gartner.
One of the essential phrases necessary to understand AI in 2019 has to be "ethics washing." Put simply, ethics washing -- also called "ethics theater" -- is the practice of fabricating or exaggerating a company's interest in equitable AI systems that work for everyone. A textbook example for tech giants is when a company promotes "AI for good" initiatives with one hand while selling surveillance capitalism tech to governments and corporate customers with the other. Accusations of ethics washing have been lobbed at the biggest AI companies in the world, as well as startups. The most high-profile example this year may have been Google's external AI ethics panel, which devolved into a PR nightmare and was disbanded after about a week.