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H-E-B will deploy robots to handle online orders for curbside pickup, delivery

USATODAY - Tech Top Stories

Robots will help H-E-B grocery stores keep up with the growing demand for online grocery services amid the pandemic. The San Antonio, Texas-based grocery chain has partnered with the automation firm Swisslog to deploy a number of robots to support the chain's curbside pick-up and delivery business. Swisslog is providing warehouses that use modular "Autostore" robots to fulfill small online orders, the companies said in a joint press release. A video demonstration on YouTube shows how the automated system works. The robots run along tracks to gather items based on digital orders.


US Navy moves a step closer to large unmanned robotic ships

#artificialintelligence

Lockheed Martin has been selected as the main contractor to conduct a study on how to provide the US Navy with large, autonomous ships that can operate for extended periods without a crew. Part of the Navy's Large Unmanned Surface Vessel (LUSV) competition, Lockheed is working with Portland, Oregon-based shipbuilder Vigor Works, LLC, and will provide program management, platform integration, systems engineering, combat management, automation, and cybernetic expertise. With the biggest costs of building and operating a ship revolving around putting a crew aboard it, the US and other navies are very interested in creating unmanned or man-optional ships that can carry out both routine and extremely hazardous duties, leaving sailors to handle the sort of executive and complex tasks that still require a human touch. These autonomous ships of the future could be anything from small autonomous patrol craft, to sub hunters, to full-blown combat submarines. Such craft could, ideally, leave port on their own, remain at sea for months at a time, and then return autonomously for refit and maintenance.


Why Wasn't Uber Charged in a Fatal Self-Driving Car Crash?

WIRED

The safety driver behind the wheel of a self-driving Uber that struck and killed a woman in 2018 has been charged with a crime. Prosecutors in Maricopa County, Arizona, Tuesday said the driver, Rafaela Vasquez, has been indicted for criminal negligence. But Uber, her employer and the company that built the automated system involved in the fatal collision, won't face charges. The attorney for neighboring Yavapai County declined to prosecute Uber last year, writing in a letter that the office found "no basis for criminal liability." Yavapai County attorney Sheila Polk declined to elaborate on her decision.


A Closer Look at the Generalization Gap in Large Batch Training of Neural Networks

#artificialintelligence

Deep learning architectures such as recurrent neural networks and convolutional neural networks have seen many significant improvements and have been applied in the fields of computer vision, speech recognition, natural language processing, audio recognition and more. The most commonly used optimization method for training highly complex and non-convex DNNs is stochastic gradient descent (SGD) or some variant of it. DNNs however typically have some non-convex objective functions which are a bit difficult optimize with SGD. Thus, SGD, at best, finds a local minimum of this objective function. Although the solutions of DNNs are a local minima, they have produced great end results.


Uber's self-driving operator charged over fatal crash

BBC News

Not only did Uber have to halt its testing programme for a while, but rivals such as Google's Waymo became notably more cautious in their trials. Only today it is being reported that the Chinese tech giant Baidu is pushing back the full rollout of its robo-taxis until 2025, partly because of confusion about regulations.


Scientists use big data to sway elections and predict riots -- welcome to the 1960s

Nature

Ignorance of history is a badge of honour in Silicon Valley. "The only thing that matters is the future," self-driving-car engineer Anthony Levandowski told The New Yorker in 20181. Levandowski, formerly of Google, Uber and Google's autonomous-vehicle subsidiary Waymo (and recently sentenced to 18 months in prison for stealing trade secrets), is no outlier. The gospel of'disruptive innovation' depends on the abnegation of history2. 'Move fast and break things' was Facebook's motto. Another word for this is heedlessness. And here are a few more: negligence, foolishness and blindness.


AI Researchers Design Recipe Book With Anti-Cancer Recipes

#artificialintelligence

Recently, a book of recipes called Hyperfoods was released, comprised of recipes generated through the assistance of AI and machine learning algorithms. The recipes in the book are based on foods with anti-cancer properties. Artificial intelligence is seeing increasing use in the creation of food recipes. For example, companies like Analytical Flavor Systems have been using AI to analyze the flavor and textures of drinks and attempt to design drinks catering to specific locales. Meanwhile, Plant Jammer is an app that leverages artificial intelligence to suggest recipes based on the ingredients you have in your house.


This New Poker Bot Can Beat Multiple Pros--at Once

#artificialintelligence

The 32-year-old is the only person to have won four World Poker Tour titles and has earned more than $7 million at tournaments. Despite his expertise, he learned something new this spring from an artificial intelligence bot. Elias was helping test new soft ware from researchers at Carnegie Mellon University and Facebook. He and another pro, Chris "Jesus" Ferguson, each played 5,000 hands over the internet in six-way games against five copies of a bot called Pluribus. At the end, the bot was ahead by a good margin.


[Full text] Conceptualising Artificial Intelligence as a Digital Healthcare Innova

#artificialintelligence

Abstract: Artificial intelligence (AI) is widely recognised as a transformative innovation and is already proving capable of outperforming human clinicians in the diagnosis of specific medical conditions, especially in image analysis within dermatology and radiology. These abilities are enhanced by the capacity of AI systems to learn from patient records, genomic information and real-time patient data. Whilst AI research is mounting, less attention has been paid to the practical implications on healthcare services and potential barriers to implementation. AI is recognised as a "Software as a Medical Device (SaMD)" and is increasingly becoming a topic of interest for regulators. Unless the introduction of AI is carefully considered and gradual, there are risks of automation bias, overdependence and long-term staffing problems. This is in addition to already well-documented generic risks associated with AI, such as data privacy, algorithmic biases and corrigibility.


How Artificial Intelligence and Machine Learning Transformed E-Learning

#artificialintelligence

For the baby boomer generation and Gen Xers, the goal was to go to a traditional university, receive an education, and then find employment with an established organization they could work with for the rest of their lives. Millennials and generation Z seem less set on traditional university training. They definitely value higher education, but they are looking for alternative ways to receive said education. If they can get a degree without relying on a full time on-campus program, they will opt for that more times than not. As the expense associated with higher education continues to rise, it seems like it attracts more students to distance learning.