If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Recent advances have seen vast success in the application of metaheuristics in NP-hard combinatorial problems. A generic metaheuristic design usually consists of three core elements that jointly determine the algorithm performance, including an initial candidate solution, a guided search procedure, and a fitness function that approximates the objective value. This paper proposes a data-driven metaheuristic (DDMH) framework that leverages the predictive power of machine learning models, which exploit location information and mine structural knowledge of a supply chain network for intelligent decision making. Specifically, the proposed framework offers three performance boosters, including an initial solution heuristic, a narrowed search space, and an efficient learning-based fitness function. The framework can be readily integrated into existing MHs.
Poskin is the founder and CEO of TeachFX, an artificial intelligence-powered app that records teachers' lessons and gives them personalized feedback about what they do well and where they could improve. Like many fledgling businesses, TeachFX was nearly snuffed out by the Covid-19 pandemic, but today the company is partnered with about 70 school districts and is on track to book about $2.5 million in revenue this year. We'll show that as an aggregated thing, but never on an individual teacher level because we just philosophically believe it's so important for anybody's learning and growth that you feel safe doing it," Poskin said. Beyond business success, scaling the app quickly is important to Poskin in part because he believes AI is coming to teaching and he'd rather it be done with his teacher-confidential approach. Poskin and his team quickly developed a version of TeachFX that worked with Zoom lessons, and assumed that at least for the 2020-21 school year, no one would be interested in it. "I imagine this future where when university rankings come out, the student talk percentage is one of those foundational metrics that everybody's reporting on because it's what matters for learning," Poskin said. Poskin is the founder and CEO of TeachFX, an artificial intelligence-powered app that records teachers' lessons and gives them personalized feedback about what they do well and where they could improve. Like many fledgling businesses, TeachFX was nearly snuffed out by the Covid-19 pandemic, but today the company is partnered with about 70 school districts and is on track to book about $2.5 million in revenue this year. We'll show that as an aggregated thing, but never on an individual teacher level because we just philosophically believe it's so important for anybody's learning and growth that you feel safe doing it," Poskin said.
The software development space is extremely volatile and is constantly evolving. In software testing, what works for an organization in the present may not be as effective a few months down the line. As the workloads become more distributed and decentralized, it is harder to test them and ensure quality. Today, organizations require quality at speed. The time it takes for products to reach the market is getting shorter, and testing can sometimes seem more like a hindrance than a necessity.
Christopher Bouzy is trying to stay ahead of the bots. As the person behind Bot Sentinel, a popular bot-detection system, he and his team continuously update their machine learning models out of fear that they will get "stale." The task? Sorting 3.2 million tweets from suspended accounts into two folders: "Bot" or "Not." To detect bots, Bot Sentinel's models must first learn what problematic behavior is through exposure to data. And by providing the model with tweets in two distinct categories--bot or not a bot--Bouzy's model can calibrate itself and allegedly find the very essence of what, he thinks, makes a tweet problematic.
Lyft has started offering autonomous robotaxi rides, with two safety drivers on board, in Austin, Texas. The autonomous drives will be powered by Argo AI's technology in Ford vehicles. Prices for the rides will also be the same as normal Lyft rides. When the vehicle arrives, riders use the Lyft app to unlock the doors and start their ride. While riders will be sharing their rides will two safety operators right now, the company aims to give fully autonomous rides in the future.
This library is a simple Python implementation for loading, querying and training sense2vec models. To explore the semantic similarities across all Reddit comments of 2015 and 2019, see the interactive demo. Note that this example describes usage with spaCy v3. To try out our pretrained vectors trained on Reddit comments, check out the interactive sense2vec demo. This repo also includes a Streamlit demo script for exploring vectors and the most similar phrases.
Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. Natural language processing involves creating meaningful sentences and phrases using Natural Language.
For Henkel, a chemical and consumer goods company, using analytics to gain insight into the supply chain has become hard-coded into its DNA over the past several years. With $20 billion in sales, the Düsseldorf, Germany-based company has three divisions: adhesive technologies, laundry and home care, and beauty care. Like other organizations, Henkel began a supply chain digitization journey several years ago, primarily to curb costs and become more efficient. But its initial foray into deploying Internet of Things (IoT) sensors to track various aspects of its supply chain – from manufacture and product supply to truck logistics and customer demand – gave way to a digital way of doing business that is automated, data-driven and agile in the face of rapid change. As moderator of a session on supply chain digitization at the Industrial AI Summit, Richard Self noted that Henkel's digitization brought the kind of ROI that companies seek when they introduce sensors, analytics dashboards and IoT applications into their environments.