Verizon and Responder Corp. last week unveiled five more companies they intend to usher into the 5G market, constituting the third and final cohort of their 5G First Responder Lab, a startup-accelerator program in Washington, D.C. Recapping the announcement at a three-day public safety event hosted by Verizon and Nokia, a news release said the new cohort will focus on uses for artificial intelligence, including for weapon detection, geo-intelligence, autonomous security and situational awareness. By participating in the accelerator, these companies will have three months of access to the lab, its 5G network and consultants from Verizon and Responder Corp. to help with use case testing and market strategies. Verizon and Responder Corp. will then make the resulting tools available to public safety agencies across the country. Verizon announced this startup accelerator program in November 2018, promising to choose 15 companies -- three cohorts of five companies apiece -- and get them to realize and sell their ideas. The latest cohort will conclude the first year of the program, although statements in the news release suggested the program would continue in 2020.

On Nov. 13, Facebook announced with great fanfare that it was taking down substantially more posts containing hate speech from its platform than ever before. Facebook removed more than seven million instances of hate speech in the third quarter of 2019, the company claimed, an increase of 59% against the previous quarter. More and more of that hate speech (80%) is now being detected not by humans, they added, but automatically, by artificial intelligence. The new statistics, however, conceal a structural problem Facebook is yet to overcome: not all hate speech is treated equally. The algorithms Facebook currently uses to remove hate speech only work in certain languages. That means it has become easier for Facebook to contain the spread of racial or religious hatred online in the primarily developed countries and communities where global languages like English, Spanish and Mandarin dominate.

Christmas is less than three months away, and retailers both online and'on land' are anticipating a peak sales period as hungry shoppers get ready to snag the best deals of the year. The term Black Friday is thought to refer to the day after Thanksgiving dreaded by policemen and bus drivers of Philadelphia due to massive congestion accompanying the start of the Christmas shopping season. The reference caught on nationwide, and soon retailers set out to market it to generate profit after a year of loss. Now, Black Friday is a weekend-long retail holiday'celebrated' annually en masse. In 2018, Adobe Analytics revealed Black Friday achieved US$6.22 billion in online sales alone while Cyber Monday pulled in a record of US$7.9 billion from e-commerce.

Microsoft will begin providing customers of its Azure cloud platform with chips made by U.K. startup Graphcore, with the goal of speeding up the computations for artificial intelligence projects. Graphcore, founded in Bristol in 2016, has attracted several hundred million dollars in investment and the attention of many AI researchers. Microsoft invested in Graphcore last December, with the hope of making its cloud services more compelling. Graphcore's chips have not previously been available publicly. Wired reports that "unlike most chips used for AI, Graphcore's processors were designed from scratch to support the calculations that help machines to recognize faces, understand speech, parse language, drive cars, and train robots."

Rev started its own competitor in this realm earlier this year. In Friday's Q. and A., contractors asked if they were being kept around just to train the company's artificial intelligence -- something Mr. Chicola vehemently denied. So far at least, the machine-powered alternatives do not appear to be eating into the work available for skilled transcribers. Paula Kamen, who runs Transcription Professionals from her home near Chicago, said that when she began her company in 1995, she was convinced that Dragon -- the buzzy speech recognition software of that time -- would soon make her business obsolete. But she said she has continued to grow at a steady rate because the advances in speech recognition technology have come alongside the proliferation in recording devices and people wanting to see their words turned into text. Much of the work that Ms. Kamen farms out to her contractors today involves correcting bad transcriptions from automated services.

Lung cancer is a common and often aggressive form of cancer. As it is difficult for doctors to detect it early on, people with lung cancer need to receive the best, most targeted therapy in order to make a positive outlook more likely. Immunotherapy is an option, but how can doctors know who will benefit? According to the National Cancer Institute, lung and bronchus cancer is the second most widespread type of cancer among people in the United States, accounting for 12.9% of all new cancer cases. This form of cancer often has no noticeable symptoms in its early stages, which can mean that doctors are unable to detect it at first.

This Machine Learning Algorithms Tutorial video by Learnaholic India will help you learn Machine Learning Tutorial, what is Machine Learning, [Data Science] various Machine Learning problems and the algorithms, key Machine Learning algorithms with simple examples. The key Machine Learning algorithms discussed in detail are Linear Regression, Logistic Regression, Decision Tree, Random Forest and KNN algorithm. Machine Learning Tutorial [Data Science] Top 10 Machine Learning Algorithms for Beginners In this Machine Learning Algorithms Tutorial video you will understand: 1) Types of Machine Learning Algorithms (00:25) 2) Supervised Learning Algorithms (00:30) 3) Unsupervised Learning Algorithms (1:59) 4) Reinforcement Learning Algorithms (3:38) 5) Top 10 Machine Learning Algorithms for Beginners (4:33) This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm! Hit the subscribe button above.

WASHINGTON, D.C. – From smart phones to smart speakers, artificial intelligence has a growing presence in our everyday lives.

This study was conducted by IDC France with 206 private sector companies with at least 1,000 employees.

Agricultural and fishing industries in Asia are being transformed by technology as the cheap and abundant labor that they long relied on erodes due to demographic pressures. Rising wages across other industries have created a labor shortage in the traditional staples of economies, especially in Southeast Asia. To make up for a shrinking population of farmers, companies are adopting artificial intelligence and drones to help grow food more cheaply and efficiently. In Vietnam, Minh Phu Seafood is building new vinyl shrimp tanks that are shaped like deep bowls. Water is swirled around the tank so that waste collects at the bottom where it can easily be drained.