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.

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I totally cannot see this being used for ill-purpose, and misrepresentation in all new ways. As you're likely aware, in recent months, AI-generated art has become a new trend, with tools like DALL·E and Midjourney facilitating all new creation processes, which enable anybody to create strange, unique, and sometimes beautiful digital artworks based on text prompts. These tools source a range of images from across the web – the same way that, say, Google Images shows you visual examples of any term you enter in - and then essentially'samples' and merges them all into new artworks, based on how the system understands your text prompts. Which is an interesting use of AI and machine learning. But what if you could take it further?

Vecow has introduced the latest addition to the company's edge AI computing system portfolio, the EAC-5000. Powered by the NVIDIA Jetson AGX Orin platform, the compact and rugged EAC-5000 supports high compute density with I/O flexibility for advanced edge AI applications in harsh environments. With support for 9V to 50V DC power input, an operating temperature range from -20 C to 70 C, as well as software ignition control, the platform is ideal for a wide range of applications including robotic vehicle control, machine vision, and embedded AI. The Vecow EAC-5000 is based on the NVIDIA Jetson AGX Orin platform, featuring an Arm Cortex-A78AE CPU delivering up to 275 TOPS of AI performance and integrating an advanced NVIDIA Ampere architecture GPU with 64 Tensor Cores for server-class performance. By utilizing GMSL2 cameras with FAKRA-Z connectors and a PCIe x8 slot for flexible PoE or USB3 expansion configurations, the EAC-5000 provides an ideal solution for real-time and intelligent video analytics.

Whether pursuing academia or industry, this degree uniquely positions students for the future of research and high demand careers with a mastery of integrating engineering domain knowledge into AI solutions. Our master's programs are self-supported or have an outside funding source (such as the student's employer) to pay for tuition and living expenses. To see annual tuition rates, visit Carnegie Mellon's The HUB website Note that immigration regulations do not allow Carnegie Mellon University to issue visa documents for part-time master's programs.

South Korean auto major Hyundai Motor Company has partnered TeamViewer, a leading global provider of remote connectivity and workplace digitalisation solutions to digitalise business operations and manufacturing processes for Hyundai Motor Group Innovation Center in Singapore (HMGICS). The partners will cooperate to maximise digitalisation benefits in HMGICS' smart factory using TeamViewer's augmented reality (AR) platform, which includes mixed reality (MR) and artificial intelligence (AI) capabilities. The platform will support assembly, maintenance, quality management, logistics, client experience projects and workforce training. They will also conduct joint research and development (R&D) activities in AR-powered smart factory operations, immersive digital experience for frontline workers and AI support for a future automotive factory. Overall, the partnership aims to drive increased productivity, accuracy, speed and safety of frontline production workers.