The graph represents a network of 1,946 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 September 2022 at 15:07 UTC. The requested start date was Monday, 19 September 2022 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 2-day, 3-hour, 28-minute period from Thursday, 15 September 2022 at 22:50 UTC to Sunday, 18 September 2022 at 02:19 UTC.

This concentration features a multi-disciplinary curriculum that draws on insights from computer science, statistics, and business management. You will learn the statistical and computational methods for collecting, storing, and processing data; identifying patterns in large data sets; predicting and interpreting the findings; and making data-driven decisions. Developing additional skills will make you especially attractive to employers, and enable you to tap into more than one job market. Areas of study include actuarial science, marketing, quantitative risk analysis, law, and business. This concentration will prepare to use text mining, machine learning, and A.I. to detect patterns, predict outcomes, and derive insights related to regulation, compliance, litigation, and transactional law.

Several tech giants are betting that the metaverse could turn out to be the next hot trend in technology. The metaverse is widely believed to be the next evolution of the internet, allowing people to experience the internet in 3D. Not surprisingly, the metaverse is expected to touch several sectors ranging from online education to gaming to social interactions to commerce. This explains why Goldman Sachs sees the metaverse generating an $8 trillion revenue opportunity in the long run for its participants. Amazon (AMZN 1.20%) and Nvidia (NVDA -2.30%) are two tech giants that could win big from this massive opportunity.

〜Vision Transformerに代わる画像認識モデル〜2022年9月27日立教大学報道関係各位立教大学大学院人工知能科学研究科（所在地：東京都豊島区、研究科委員長：内山 泰伸）の博士後期課程1年次の立浪 祐貴 さん（AnyTech株式会社 勤務）と瀧 雅人 准教授の研究成果が、機械学習分野の国際会議の一つである「NeurIPS 2022 」（Neural Infomation Proccessing Systems）に採択されたことをお知らせいたします。

The general public is requested to help eradicate biases based on race and other underprivileged communities in artificial intelligence (AI) algorithms for healthcare. Health scientists are seeking support to resolve how'minoritized' communities, who are actively deprived because of social constructs, would not see future advantages from using AI in healthcare. The scientists, guided by the University of Birmingham and University Hospitals Birmingham, recently reported in Nature Medicine about the introduction of a consultation on a set of principles that they anticipate will cut biases that are said to be present in AI algorithms. There is increasing proof that certain AI algorithms do not work as well for specific groups of people - mainly those in minoritized racial/ethnic communities. A few of these come from biases in the datasets used to create AI algorithms.

Administrators aren't privy to the analysis teachers receive using the TeachFX app. "Eighty five percent teacher talk for me--even for an interview that makes me think: yikes!" Jamie Poskin was referring to the TeachFX analysis of the interview he'd just completed with Forbes. According to the app, he spent 85% of the call talking--which seems appropriate when answering a reporter's questions. But had he been teaching English to a class of ninth graders, that figure would be higher than it should be, according to decades of research on student learning. 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.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Enterprises continued to accelerate the adoption of AI and machine learning to solve product and business challenges and improve revenues in 2021. Meanwhile, AI startups have experienced significant growth, roping in major investments to improve their product offerings and meet the growing demand for AI solutions across sectors. In fact, data from CB Insights Research shows that while the number of equity funding deals in the global AI space this year is just slightly less than the last (2,384 deals in 2021 versus 2,450 in 2020), the amount of capital invested has almost doubled to $68 billion.

The Internet of Things (IoT) plays a key role in digital transformation. However, in many cases, organizations realize that they already have a large fleet of legacy IoT devices that have been gradually deployed over the years. Many of these devices may not have been designed with security in mind. One of the biggest concerns of IoT is managing the risks associated with a growing number of IoT devices. Information security and privacy issues related to IoT devices have attracted global attention, because of the ability of these devices to interact with the physical world.

Malware detection is a subset of cybersecurity recently addressed using various machine learning models. The data subject to the model consists of a wide variety of features concerning the network. The models used to ensure the security of the network infrastructure can be linear or complex, depending upon the complexity of the network. If the model fails, malicious software like Ransomware, Spyware, and Trojan can plague a system and, conclusively, the entire network. Attacks like WannaCry have wreaked havoc, caused financial damage, and gained international attention in 2017.

Chipotle's tortilla-making robot will soon help out in a restaurant you can visit. The chain has unveiled a slew of technology updates that include moving the Miso Robotics-made Chippy robot to a real restaurant. The machine will start cooking tortilla chips in a Fountain Valley, California location in October. Feedback from customers and workers will help the company decide on a national rollout. Artificial intelligence will influence some human cooks, too.