If your New Year's resolution is to understand quantum computing this year, take a cue from a 9-year-old podcaster talking to some of the biggest minds in the field, says quantum columnist Karmela Padavic-Callaghan Quantum computing seems to pop up in the news pretty often these days. You've probably seen quantum chips gracing your feeds and their odd, steampunk-ish cooling systems in the pages of magazines and newspapers. Politicians and business leaders are peppering their announcements with the word "quantum" more frequently, too. If you're feeling a little confused about it all, it's a good year for a New Year's resolution to finally figure out what quantum computing is all about. This is an ambitious goal, and the timing certainly makes sense.

This paper proposes an approach to improve the runtime efficiency of Japanese tokenization based on the pointwise linear classification (PLC) framework, which formulates the whole tokenization process as a sequence of linear classification problems. Our approach optimizes tokenization by leveraging the characteristics of the PLC framework and the task definition. Our approach involves (1) composing multiple classifications into array-based operations, (2) efficient feature lookup with memory-optimized automata, and (3) three orthogonal pre-processing methods for reducing actual score calculation. Thus, our approach makes the tokenization speed 5.7 times faster than the current approach based on the same model without decreasing tokenization accuracy. Our implementation is available at https://github.com/daac-tools/vaporetto under the MIT or Apache-2.0 license.

Deep Reinforcement Learning (DRL) agents have demonstrated impressive success in a wide range of game genres. However, existing research primarily focuses on optimizing DRL competence rather than addressing the challenge of prolonged player interaction. In this paper, we propose a practical DRL agent system for fighting games named Sh\=ukai, which has been successfully deployed to Naruto Mobile, a popular fighting game with over 100 million registered users. Sh\=ukai quantifies the state to enhance generalizability, introducing Heterogeneous League Training (HELT) to achieve balanced competence, generalizability, and training efficiency. Furthermore, Sh\=ukai implements specific rewards to align the agent's behavior with human expectations. Sh\=ukai's ability to generalize is demonstrated by its consistent competence across all characters, even though it was trained on only 13% of them. Additionally, HELT exhibits a remarkable 22% improvement in sample efficiency. Sh\=ukai serves as a valuable training partner for players in Naruto Mobile, enabling them to enhance their abilities and skills.

Artificial intelligence has arrived at the inflection point where it's to a lesser degree a pattern than a core ingredient across for all intents and purposes of computing. These organizations are applying the technology to everything from getting strokes recognizing water leaks to understanding fast-food orders. What's more, some of them are planning the AI-prepared chips that will release much increasingly algorithmic developments in the years to come. Let's look at some incredible AI companies where you can unleash your potential Trade giant Amazon has put resources into both the consumer-oriented side of AI and in applications for organizations and their procedures. Alexa, the organization's AI language assistant, integrated into its echo speaker series, is notable around the world.

NEW YORK, March 10, 2020 /CNW/ -- Kasisto, creators of KAI - the financial services industry's leading digital experience platform has been named as one of Fast Company Most Innovative Companies (MIC) in the Artificial Intelligence Category. Fast Company, an award-winning magazine with over 10.6 million monthly visitors and 525k subscribers honors businesses that are having the most profound impact on both industry and culture, showcasing a variety of ways to thrive in today's fast-changing world. This year's MIC list features 434 businesses from 39 countries. Kasisto ranked in the top 10 of 50 vendors listed in the Artificial Intelligence category, and was recognized for its leading conversational AI technology and ability to provide financial institutions with the power to deliver unique and compelling digital experiences to their customers. "We are honored to receive this recognition from Fast Company and would like to take this opportunity to thank our customers from around the world and across the financial services industry. This award would not be possible without our customers support and commitment to work alongside us as we've delivered the industry's most powerful conversational AI technology, but more importantly, also delivered on our promise to make their customers digital experiences truly humanizing," says Zor Gorelov, CEO & Co-Founder of Kasisto.

Our Chief Product Officer Chris Francia's insights on the aspects of AI and how it drives our disruptive innovation in digital advertising…. You would be hard-pressed to find any company with roots in the digital space not mention it as part of their current or future growth plans. Yet, as with any new technology that burst onto the marketing scene, there is a fair amount of misinformation about it. For starters, AI will neither be the doom of our society nor will it magically solve all of our problems. But outside of those two umbrellas, AI can assist and improve current workflows and technologies.

The customer experience in banking is about to get a lot more personal, as shown by an investment announced Wednesday in technology that will act as the "brain" behind AI financial services applications. Kasisto – a company that's behind a conversational AI platform about around a dozen financial institutions globally use – just completed a $17 million Series B funding round. It's yet another sign that customers' future interactions with their banks are more likely to be with non-humans. "It not only helps the bank become more informed of their end consumer, it serves the individual better, and in so doing reduces their cost structure and potentially generates additional revenue," said Patricia Kemp, co-founder and general partner of Oak HC/FT, the venture capital firm that led the funding round. "It's strategically important for banks to improve their mobile experiences and improve their online experiences."

The Co-arthers of this post are Yue Cathy Chang an SVDS alumi, and Cindi Thompson,Principal Data Scientist at Silicon Valley Data Science. There article was originally posted on the Silicon Valley Data Science blog. From asking Amazon Alexa for traffic conditions, to receiving helpful tips from Slackbot, to using WeChat to book doctor's appointments, bots are becoming omnipresent in our lives. The bot market is hot! There's a plethora of companies and investments in bots: VentureBeat's 2016 Bots Landscape shows just under 200 companies ranging from personal assistants to AI tools to messaging, $22B in funding, and a very hefty $159B in valuation.

Artificial intelligence portends to change the way finance operates. This week's guest on the podcast is Zor Gorelov, the co-founder and CEO of Kasisto. Kasisto specializes in creating banking smart AI that can fundamentally transform the way banks and financial institutions connect with and serve with their customers. I sat down with Gorelev to find out more about how Kasisto is helping its partners to achieve scale without opening another branch location. Below are highlights, edited for clarity, from the episode.

SEOUL – The constant missile and nuclear threats from South Korea's belligerent northern neighbor have racked regional tensions sky-high, but they are a boon for the country's burgeoning defense industry. South Korea has been one of the world's largest importers of military equipment and technology for decades -- mostly from the U.S. -- but in recent years its domestic sector has grown rapidly. Arms exports have soared tenfold in a decade, from just $253 million in 2006 to $2.5 billion last year, according to government data. The country's missiles, howitzers, submarines and warplanes are especially popular in Southeast Asia, Eastern Europe and South America. Once a largely agricultural backwater devastated by war, South Korea now has companies that have become world leaders in fields ranging from shipbuilding to smartphones, and its arms manufacturers are starting to follow suit.