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New AI Tool Tracks Evolution of COVID-19 Conspiracy Theories on Social Media - ELE Times


A new machine-learning program accurately identifies COVID-19-related conspiracy theories on social media and models how they evolved over time--a tool that could someday help public health officials combat misinformation online. A lot of machine-learning studies related to misinformation on social media focus on identifying different kinds of conspiracy theories. Instead, we wanted to create a more cohesive understanding of how misinformation changes as it spreads. Because people tend to believe the first message they encounter, public health officials could someday monitor which conspiracy theories are gaining traction on social media and craft factual public information campaigns to preempt widespread acceptance of falsehoods. The study, anonymized Twitter data to characterize four COVID-19 conspiracy theory themes and provide context for each through the first five months of the pandemic.

Kitchens in the cloud: AI is restoring consumer trust in the food delivery business - Microsoft Stories India


Before COVID-19 struck India, Rajesh Agrawal and his wife, Meenakshi, would often get food from restaurants delivered to their home. A weekly treat of chicken tikka masala or lamb biryani would be a break from the vegetarian dishes they cook at home. It's been nearly a year since the Agrawals stopped ordering in food from their favorite restaurants. "There's no way to tell how clean and hygienic the restaurant kitchens are really," Mr. Agrawal says. "Sure, the government has released processes for restaurants during the pandemic. But we can't be certain that they're following those, can we?"

Artificial Intelligence In 2021 - The Developments So Far


Artificial Intelligence is one of the most, if not the only disruptive technology that made a massive impact in the modern world. It is a concept that continues to reach a wider audience with regular developments and researches done by scientists, engineers, and entrepreneurs who are working to advance the field. Before the pandemic wreaked havoc in 2020, machine learning, a branch of artificial intelligence was causing disruptions across industries. But during the COVID-19 pandemic, it became evident that self-teaching algorithms and smart machines will play a big role in the ongoing fight against the viral outbreak and serve our society in the future too. Artificial intelligence technology remains a key trend in our work world and personal world.

Engagement During Pandemic Teaching

Interactive AI Magazine

In this panel, AI faculty with experience teaching online and blended classes were asked to share their experiences teaching online classes. The panel was composed of Ashok Goel, Georgia Institute of Technology, Ansaf Salleb-Aouissi, Columbia University and Mehran Sahami, Stanford University. The panelists were asked to describe which tools and methods work well to help instructors engage and bond with students online. They were furthermore asked to share their insights into which components of a course can be done best online and which ones are best accomplished in person. The panel took place as part of the 2021 Symposium on Educational Advances of AI, which was collocated with AAAI-21.

Robotics & Artificial Intelligence ETF (BOTZ) at 52-Week High


For investors looking for momentum, Global X Robotics & Artificial Intelligence ETF BOTZ is probably a suitable pick. The fund just hit a 52-week high and is up 99.4% from its 52-week low price of $18.49/share. Let's take a look at the fund and its near-term outlook to gain an insight into where it might be headed: This ETF seeks to invest in companies that potentially stand to benefit from increased adoption and utilization of robotics and AI, including those involved with industrial robotics and automation, non-industrial robots, and autonomous vehicles. It has AUM of $2.60 billion and charges 68 basis points (bps) in annual fees. Due to the coronavirus outbreak, the robotics market is flooded with opportunities as robots are being used for jobs such as sanitizing hospitals, homes and workplaces along with monitoring, surveying, handling, and delivering food and medicines.

The challenges of applied machine learning


Welcome to AI book reviews, a series of posts that explore the latest literature on artificial intelligence. There are a dozen artificial intelligence conferences where researchers push the boundaries of science and show how neural networks and deep learning architectures can take on new challenges in areas such as computer vision and natural language processing. But using machine learning in real-world applications and business problems--often referred to as "applied machine learning" or "applied AI"--presents challenges that are absent in academic and scientific research settings. Applied machine learning requires resources, skills, and knowledge that go beyond data science, that can integrate AI algorithms into applications used by thousands and millions of people every day. Alyssa Simpson Rochwerger and Wilson Pang, two experienced practitioners of applied machine learning, discuss these challenges in their new book Real World AI: A Practical Guide for Responsible Machine learning.

Top 9 New Technology Trends for 2021


Technology today is evolving at such a rapid pace, enabling faster change and progress, causing an acceleration of the rate of change, until eventually it will become exponential. However, it is not only technology trends and top technologies that are evolving, a lot more has changed this year due to the outbreak of COVID-19 making IT professionals realize that their role will not stay the same in the contactless world tomorrow. And an IT professional in 2020-21 will constantly be learning, unlearning and relearning (out of necessity if not desire). What does this mean for you? It means staying current with new technology trends.

Implying AI in Business to Evolve from Minimum to Million


Artificial intelligence, the concept that existed only in Hollywood fantasy a couple of decades back is now a fast-evolving reality. At its core, AI seeks to transform information into intelligent, automated action. Among the many industries that are adopting artificial intelligence into their routine, business stands out by almost exponentially relying on the technology. With the increasingly vast amount of data available today and the constantly evolving preferences and complexity of customers, businesses can no longer believe in traditional business models to drive growth. These radical pain points have opened up the realm of AI adoption to accelerate business growth through actionable insights generated from customer data.

Arlo Pro 4 security camera review: Wireless, 2K resolution, and a built-in spotlight


Each Arlo Pro camera generation has been better the last, but it was hard to imagine how the Arlo Pro 3 could be improved. The folks at Arlo must have felt the same because they barely made any changes for this fourth-generation device, the Arlo Pro 4. There is one big change, though: You no longer also need the Arlo SmartHub base station, which has been a staple component of every Arlo Pro camera going back to the product's introduction. While you can use the Arlo Pro 4 with a SmartHub if you have one, it's not strictly necessary to get a wireless signal sufficiently strong to deploy this indoor/outdoor camera outside. Aside from the completely wire-free connectivity, the new camera is a spec-for-spec reproduction of the Arlo Pro 3. It has a 160-degree field of view, a 12x digital zoom, and captures video at 2K resolution.

IBM to acquire myInvenio with an eye on AI-enabled automation


During the coronavirus pandemic, digital transformation and automation efforts have accelerated as organizations look to streamline workflows and reduce operational costs. On Thursday, IBM announced a definitive agreement to acquire Italy-based process mining software company, myInvenio. "Digital transformation is accelerating across industries as companies face increasing challenges with managing critical IT systems and complex business applications that span the hybrid cloud landscape," said Dinesh Nirmal, general manager, IBM Automation. The move highlights IBM's investments to provide an AI-enabled automation suite "one-stop shop" for organizations, the company said, with capabilities such as robotic process automation, document processing and process mining among others. IBM said the acquisition will provide companies with "data-driven software" in areas such as sales, production and accounting and could help organizations identify processes for potential AI-enabled automation.