The graph represents a network of 1,251 Twitter users whose tweets in the requested range contained "#iiot", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 September 2021 at 21:00 UTC. The requested start date was Tuesday, 14 September 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 1-day, 16-hour, 41-minute period from Sunday, 12 September 2021 at 07:20 UTC to Tuesday, 14 September 2021 at 00:01 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

Walmart has tapped Argo AI and Ford to launch an autonomous vehicle delivery service in Austin, Miami and Washington, D.C., the companies said Wednesday. The service will allow customers to place online orders for groceries and other items using Walmart's ordering platform. Argo's cloud-based infrastructure will be integrated with Walmart's online platform, routing the orders and scheduling package deliveries to customers' homes. Initially, the commercial service will be limited to specific geographic areas in each city and will expand over time. The companies will begin testing later this year.

A leading autonomous pizza machine developer is teaming up with an international pizza brand run by world-renowned chef Anthony Carron. The pandemic has been a boon for autonomous dining as takeout culture and convenience remain priorities. Restaurants have struggled to adapt to the labor demands and unpredictability of the new paradigm. Delivery options open up new opportunities to meet customers where they are, but maintaining quality is paramount. At 800 Degrees the team believed they needed to do more to future-proof the brand, and Chef Carron saw the promise of automation when a trusted industry colleague, Massimo Noja De Marco, reached out to discuss Piestro, his automated pizza venture.

I've also come to realise that this code could have unintended consequences on the employment prospects, loan approvals and health outcomes of a complete stratum of society. This realisation prompted me to delve deeper into the notion of bias in artificial intelligence and its unintended consequences in real world scenarios. It's possible to build AI systems that are more robust against bias and discrimination. Furthermore, a partnership between human and machines could actually lead to improvements in the fairness of human decision making. My intention in this blog is to focus explicitly on the ways in which a biased system directly affects a minority group and steps we can take to fix it.

Last March, Zoom, the ubiquitous online conferencing platform, became a staple of daily life for many students and educators as learning shifted online. Millions downloaded it--and first learned of it--back in early 2020, when lockdowns forced billions of students online, and at least 100,000 schools onto Zoom. But as the company itself will tell you, it didn't spring up overnight. Zoom is actually a decade old, and the first conferences launched in 2012, limited to a mere 15 participants. While post-pandemic growth has slowed as schools resume in-person learning, the company is still flush with cash, reporting over $1 billion in revenue in the second quarter of 2021.

The Technische Universität (TUU) KIWI biolab, which has been designated as one of three international artificial intelligence (AI) future laboratories by the German government, uses AI to design experiments with the aim of understanding how cells behave. "We cultivate various clones in parallel, and computer-controlled robots perform the fed-batch experiments and analyses automatically," explains Peter Neubauer, PhD, who heads the department of bioprocess engineering at TU Berlin. Experimental data is used to create "digital twins" of the cells that can be used for computer-based process development, he says. Neubauer developed the automated laboratory to multiply the number of cell lines he could analyze in parallel. "Currently in our facility we can do this for a large number of cells–for 48 different clones," he adds.

It takes real intelligence and plenty of collaborative muscle to harness the potential of artificial intelligence. Most of us can barely grasp the concept of human-made machines learning how to process and analyze enormous amounts of data, then using that mass of information to understand things at new scales and in new combinations, delivering useful insights that our brains would never be able to produce on their own. Now University of Delaware Prof. Rudolf Eigenmann, interim chair of the Department of Computer and Information Sciences and professor of electrical and computer engineering, is playing a critical role in a new $20 million National Science Foundation-supported project designed to expand access to artificial intelligence. AI for the masses, you might call it. The project, called the NSF AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE), is one of 11 new National Artificial Intelligence Research Institutes the NSF announced recently. It is the second year of such investment by NSF.

The United Nations High Commissioner for Human Rights Michelle Bachelet speaks at a climate event in Madrid in 2019. A recent report of hers warns of the threats that AI can pose to human rights. The United Nations High Commissioner for Human Rights Michelle Bachelet speaks at a climate event in Madrid in 2019. A recent report of hers warns of the threats that AI can pose to human rights. The United Nations' human rights chief has called on member states to put a moratorium on the sale and use of artificial intelligence systems until the "negative, even catastrophic" risks they pose can be addressed. The remarks by U.N. High Commissioner for Human Rights Michelle Bachelet were in reference to a new report on the subject released in Geneva.

The battle for artificial intelligence hardware keeps moving through phases. Three years ago, chip startups such as Habana Labs, Graphcore, and Cerebras Systems grabbed the spotlight with special semiconductors designed expressly for deep learning. Those vendors then moved on to selling whole systems, with newcomers such as SambaNova Systems starting out with that premise. Now, the action is proceeding to a new phase, where vendors are partnering with cloud operators to challenge the entrenched place of Nvidia as the vendor of choice in cloud AI. Cerebras on Thursday announced a partnership with cloud operator Cirrascale to allow users to rent capacity on Cerebras's CS-2 AI machine running in Cirrascale cloud data centers.

Everything, it seems, is on the line right now. Is mRNA technology on the verge of pulling us out of the pandemic, or will a wily, evolving virus bring us several more years of testing, booster shots, uncertainty, and angst? Will AI liberate us with amazing new medicines, materials, and modes of entertainment, or subtly enslave us in an algorithmically guided world where none of our choices is truly our own? Will we stop the deadly climb of global temperatures or just hunker down behind higher flood defenses and more powerful air-conditioners? Will ransomware be tamed, or will it bring down governments?