Deciphering what flavor notes are present in a given coffee is more art than science. Tasters spend hours upon hours training their palates, translating the sensory information through the lens of past (highly subjective) flavor experiences to arrive at descriptors that best align with the original sensory input. But one startup is looking to take a more scientific approach to identifying flavors in coffee. The company is called Demetria and they have created an app to "detect a specific and high value sensory ("taste") profile of green coffee." In a press release announcing the company, Demetria touts itself as "the first AI-powered taste and quality intelligence [software as a service] startup for the coffee supply chain."

In June 2020, a new and powerful artificial intelligence (AI) began dazzling technologists in Silicon Valley. Called GPT-3 and created by the research firm OpenAI in San Francisco, California, it was the latest and most powerful in a series of'large language models': AIs that generate fluent streams of text after imbibing billions of words from books, articles and websites. GPT-3 had been trained on around 200 billion words, at an estimated cost of tens of millions of dollars. The developers who were invited to try out GPT-3 were astonished. "I have to say I'm blown away," wrote Arram Sabeti, founder of a technology start-up who is based in Silicon Valley. "It's far more coherent than any AI language system I've ever tried. All you have to do is write a prompt and it'll add text it thinks would plausibly follow. I've gotten it to write songs, stories, press releases, guitar tabs, interviews, essays, technical manuals. I feel like I've seen the future."

Clinton Township, Michigan--(Newsfile Corp. - March 1, 2021) - Resgreen Group (OTC PINK: RGGI) ("RGGI"), a leading mobile robot company, today announced the development of Atlas, its new Autonomous Mobile Robot (AMR) for demanding industrial and mission critical 24/7 applications. The vehicle can use either natural feature or magnetic tape guidance to navigate through manufacturing facilities and warehouses. The natural feature or free guidance requires no wires, tape or navigation marks. Instead, the vehicle uses advanced lasers to scan its surroundings, and then determines its position based on the mapped features along its path. "Atlas mobile robot was designed to meet a wide variety of customers' needs, whether it's free navigation requiring no modification to your facility or more cost-effective magnetic tape guidance," said Parsh Patel, CEO of RGGI. "We also understand industrial customers require a rugged vehicle that is built to last and moves heavy loads easily." It features 5G communications and operates using an Android or iOS application in manual mode and WiFi in automatic mode.

Z Holdings Corp., operator of Yahoo Japan online services, and messaging app provider Line Corp. merged on Monday to expand their online services globally as they aim to better compete with U.S. and Chinese tech giants. With a combined user base of about 150 million in Japan, the merger of Z Holdings, a SoftBank Group Corp. subsidiary, and Line will make it one of the biggest information technology companies in the country. "We would like to launch a global smartphone app" in the future to expand online services worldwide with the help of global tech firms in which SoftBank Group's nearly $100 billion Vision Fund has invested, said Takeshi Idezawa, Z Holdings co-CEO and former Line president, at a news conference. Kentaro Kawabe, the other Z Holdings co-CEO said, "We can offer a wider range of services, such as search engine, e-commerce and online financial operations, than those provided by GAFA -- Google LLC, Apple Inc., Facebook Inc. and Amazon.com The surviving entity is Z Holdings, under which Yahoo Japan and Line operate their respective businesses.

For more than a decade, journalists and researchers have been writing about the dangers of relying on algorithms to make weighty decisions: who gets locked up, who gets a job, who gets a loan--even who has priority for COVID-19 vaccines. Rather than remove bias, one algorithm after another has codified and perpetuated it, as companies have simultaneously continued to more or less shield their algorithms from public scrutiny. The big question ever since: How do we solve this problem? Lawmakers and researchers have advocated for algorithmic audits, which would dissect and stress-test algorithms to see how they work and whether they're performing their stated goals or producing biased outcomes. And there is a growing field of private auditing firms that purport to do just that.

The typical ingredient-tetris bottleneck played between guest and server while dining out has amplified during COVID-19. Growth in online ordering and takeout has prompted customers with dietary needs to search online for dietary answers more than ever before.1 With over 52% of Americans following at least one diet, and less than 10% of restaurants labeling dietary information (typically not exhaustive), the information gap has never been wider. Prompted by an Ulcerative Colitis health scare for co-founder Tamir Barzilai, Honeycomb.ai is set on eliminating the frustrating process of manual menu parsing by creating a portal for anyone with dietary needs to find suitable food to eat. "After my personal diagnosis, I realized how many others struggle with finding food to eat due to a variety of reasons. The lack of ubiquitous dietary and ingredient transparency didn't make sense from both consumer and business perspectives," says Barzilai.

WIRE)--Worldwide revenues for the artificial intelligence (AI) market, including software, hardware, and services, is estimated to grow 16.4% year over year in 2021 to $327.5 billion, according to the latest release of the International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Tracker. By 2024, the market is expected to break the $500 billion mark with a five-year compound annual growth rate (CAGR) of 17.5% and total revenues reaching an impressive $554.3 billion. Among the three technology categories, software represented 88% of the total AI market revenues in 2020. However, it is the slowest growing category with a five-year CAGR of 17.3%. Within the AI software category, AI Applications took the largest share of revenue at 50% in 2020.

Data can be used in a variety of ways to satisfy the needs of different business units, such as marketing, sales, or product. In this post, we focus on using data to create personalized recommendations to improve end-user engagement. Most ecommerce applications consume a huge amount of customer data that can be used to provide personalized recommendations; however, that data may not be cleaned or in the right format to provide those valuable insights. The goal of this post is to demonstrate how to use AWS Glue to extract, transform, and load your JSON data into a cleaned CSV format. We then show you how to run a recommendation engine powered by Amazon Personalize on your user interaction data to provide a tailored experience for your customers.

U.K.-based Featurespace, which offers anti-fraud systems for financial institutions (FIs), on Thursday (Feb. In a press release, the company said the new product, intended for the card and payments industry, provides a "deeper layer of defense to protect consumers from scams, account takeover, card and payments fraud, which cost an estimated $42 billion in 2020." The new product is "truly the next generation of machine learning," said Dave Excell, founder of Featurespace. The company said that it involves "a breakthrough in deep learning technology" that is capable of pinpointing potential fraud before the victim's money is removed from their account. That serves as "the best line of defense against scams, account takeover, card and payment fraud attacks," the release stated.

Click here to learn more about Gilad David Maayan. What Is Artificial Intelligence Marketing? In marketing, artificial intelligence (AI) is the process of using data models, mathematics, and algorithms to generate insights that marketers can use. Marketers use insights gained from AI to guide future decisions on event spending, strategy, and content topics. AI also makes it possible to measure and optimize marketing activities without human intervention.