Chatterbox is a build-it-yourself, program-it-yourself smart speaker that teaches kids how to program a voice-based AI system. The company is able to ensure complete privacy because it is using Mycroft, an open-source voice assistant that is not always listening, not collecting any data, and not advertising. In addition, the product is fully compliant with the Children's Online Privacy Protection Act (COPPA), which is what the Federal Trade Commission uses to regulate governing online services directed at children under 13 years of age. The company announced recently that it would be launching a Kickstarter campaign on April 30th, and will ship to consumers in schools in December 2019, with a suggested retail price of $179. We've honed in on privacy, safety, and accessibility because our mission is to provide the healthiest and safest alternative computing platform for children.

Stamford, CT, May 20, 2019 (GLOBE NEWSWIRE) -- Imperative Execution, Inc. – the financial technology company that created IntelligentCross, an AI-powered alternative trading system built to reduce implicit trading costs – today announced performance results for its first eight months of operations. The venue has matched more than 1.5 billion shares since its launch with an observed price impact following these trades of 0.13bp, which is nearly ten times less than the 1.37bp average following comparable execution on U.S. securities exchanges. At the current rate of U.S. equities daily turnover, savings of that magnitude could save investors $10B per year. IntelligentCross is the industry's first smart venue to use artificial intelligence to optimize order matching to help investment managers and brokers reduce trading costs and improve execution quality on behalf of their clients. Its design was borne out of its founders' years trading on the buy-side, where traders are obsessed with implementation shortfall (IS) costs – in other words, the difference, or "slippage," between the arrival price and the execution price for completing a trade.

This toolkit serves to execute RFEX 2.0 "pipeline" e.g. a set of steps to produce information which comprises RFEX 2.0 summary namely information to enhance explainability of Random Forest classifier. It comes with the synthetically generated test database which helps to demonstrate how RFEX 2.0 works. Wth this toolkit users can also use their own data to generate RFEX 2.0 summary. Background of the RFEX 2.0 method, as well as the description and access to the synthetic test database convenient to test and demonstrate can be found in TR 18.01 at cs.sfsu.edu Users are strongly advised to read the above report before using this toolkit.

RFEX creates a simple to understand summary of how trained RF makes its classification.

The race to build fully autonomous cars has gone into hyper-drive, with major car-makers such as GM, Daimler, BMW and Audi promising SAE Level 5 autonomous driving by sometime in 2021. Goldman Sachs predicts that robo taxis will grow the ride-hailing and sharing business from $5 billion in revenue today to $285 billion by 2030. Autonomous driving will re-define mobility, and historic earning streams are sure to be toppled. Even with all the road testing the car-makers are doing, the only way the car companies can meet their ambitious goals is by leveraging the power of analytics and artificial intelligence (AI) to learn on real-world roads and accelerate development using simulations. The auto-makers are using simulation techniques such as hardware-in-the-loop (HIL) and software-in-the-loop (SIL) to make this happen.

San Diego-based startup TuSimple said its self-driving trucks will begin hauling mail between USPS facilities in Phoenix and Dallas to see how the nascent technology might improve delivery times and costs. A safety driver will sit behind the wheel to intervene if necessary and an engineer will ride in the passenger seat. If successful, it would mark an achievement for the autonomous driving industry and a possible solution to the driver shortage and regulatory constraints faced by freight haulers across the country. The pilot program involves five round trips, each totaling more than 2,100 miles (3,380 km) or around 45 hours of driving. It is unclear whether self-driving mail delivery will continue after the two-week pilot.

It's always tempting to begin an article on AI with some form of science fiction analogy, but the truth is that the technology has been around almost as long as the genre! Some of the people reading this, like me, may remember the burst of excitement around AI in the 1980s and 90s. We've come a long way since then, and many facets of AI, especially machine learning, have become very mature. The increasing digital transformation happening within manufacturing is bringing the potential of AI into focus. International Data Corp., a technology research firm based in Framingham, MA, suggests that manufacturing companies are "at the heart of a perfect storm, both living with and seeking to exploit disruptive technologies such as cloud, big data, AI-assisted analytics and the Internet of Things (IoT), while facing increasing IT security challenges, regulatory pressures and a changing workforce".1 The explosion of big data and IoT is pivotal.

"You want to ride the wave rather than getting slammed by its disruption. You don't want to be Blockbuster Video or Sears, you want to be Netflix or Amazon." That was how Dave Bluey, assistant professor of practice and career advisor with the Department of Management, explained the reasoning behind the Department of Management's symposium, "How Artificial Intelligence Will Impact Your Career." Over 250 hundred students gathered for a panel discussion led by industry experts to hear about – and in some cases see – the impact artificial intelligence may have on their future careers. The event was a partnership between the Management Department and leading firms in the areas of machine learning, artificial intelligence, and robotics in an on-going Digital Transformation Series at Virginia Tech.

The funds raised in this round are to be used for recruiting more high-caliber talents and developing new technologies. Xiaoduo AI has been engaged in the AI customer service application scenario for many years, which is a highlighted project in Chengdu's AI industry. From the perspective of the current enterprise volume and technical background, it has the potential to become a hidden champion in the field of AI customer service. Founded in 2014, Xiaoduo AI adheres to the vision of "becoming the AI expert of enterprises and creating better communication and service with AI", and has been committed to improving the efficiency of the customer service industry by leveraging the AI technology. At present, Xiaoduo AI serves more than 20,000 governmental and enterprise clients, including Meituan, Zhuanzhuan, YouShop, EMS, Robam Electric Appliance, XGIMI, TmallGenie, 1919.cn,

Today's tech-enabled marketplace has brought a fever pitch of innovation, creating ease in many ways, but also changing human interactions foundationally. We're more digitally connected than ever but opportunity for meaningful engagement sometimes appears to have been lost in the digital fray. As we settle into this new norm, aspiring innovators have the privileged responsibility of examining how change has impacted human lives around us and the opportunity to improve our day-to-day with technology instead of being ruled by it. A case study in potential for disconnect, Sweden has been recently deemed one of the loneliest cities on the planet, with an estimated 250,000 residents living alone. Swedish heating, cooling and energy company, Stockholm Exergi wanted to extend their commitment to "making Stockholm a warmer place" by influencing social good and inspiring positive change for its citizens.