One of the biggest trends in AI recently has been the creation of machine learning models that can generate the written word with unprecedented fluidity. These programs are game-changers, potentially supercharging computers' ability to parse and produce language. But something that's gone largely unnoticed is a secondary trend -- a shadow to the first -- and that is: a surprising number of these tools are named after Muppets. To date, this new breed of language AIs includes an ELMo, a BERT, a Grover, a Big BIRD, a Rosita, a RoBERTa, at least two ERNIEs (three if you include ERNIE 2.0), and a KERMIT. Big tech players like Google, Facebook, and the Allen Institute for AI are all involved, and the craze has global reach, with Chinese search giant Baidu and Beijing's Tsinghua University contributing models.

Researchers at the Technion-Israel Institute of Technology and Israeli chipmaker TowerJazz said they have developed a "revolutionary" technology that transforms a commercial flash memory chip into a device that contains both memory and computing ability. This will help provide the computing power needed for artificial intelligence-based applications, the researchers said. The new device enables the creation of a "hardware neural network" inspired by the operation of the human brain, and will "significantly" accelerate the operation of AI-based computing, the Technion said in a statement. Get The Start-Up Israel's Daily Start-Up by email and never miss our top stories Free Sign Up "We have made a big jump forward" with just a small change, Prof. Shahar Kvatinsky of the Andrew & Erna Viterbi Faculty of Electrical Engineering at the Technion, who led the project, said in a phone interview. "We have taken an existing commercial technology and made a small change, transforming it into something that is very much needed."

Without risk, there are no rewards. Financial institutions, by their very nature, are risk-taking entities. They have to balance the risk against the potential benefits for the good of their investors, shareholders and members. Today, banks and financial institutions are deploying model risk management (MRM) solutions that are more sophisticated and varied than ever before. The number of models is also rising dramatically, according to analyst McKinsey – 10 per cent to 25 per cent annually at large institutions – as banks utilise models for an ever-widening scope of decision making.

Robotics Process Automation (RPA) is a technology that helps you in automating your business process. It is a technology which mimic human actions in interacting with digital system. To understand what's RPA in a more intuitive way: What can RPA do for you? UiPath is one of the top leaders which develops Robotics Process Automation platforms. By deploying RPA into your business process, it helps your business in reducing operation cost, eliminate human error and saving time.

Imagine a world where plastic materials would never go to waste. Agilyx Corporation ("Agilyx"), the leader in chemical recycling of post-use plastics back into plastics chemicals and low carbon fuels, today announced a dynamic collaboration in artificial intelligence (AI) technology with the General Electric Company through its Licensing business unit that would bring the world closer than ever to making this green dream possible. Combining Agilyx's deep domain experience in chemical recycling with GE's vast experience in the application of Industrial AI, the two companies are aiming to increase the chemical recyclability of all post-use plastics from the current 10% to over 95%. This announcement is the result of a year-long, successful effort to assess GE's advanced modeling technology developed by GE Research, and its applicability to the database of chemical conversions of post-use plastics that Agilyx has amassed over the last 15 years. Together, the companies can greatly improve recycling rates by deploying an innovative set of artificial intelligence ("AI") technologies, including machine learning ("ML"), predictive modeling ("PM") and optimization tools, in combination with other supply chain innovations in partnership with a growing number of diverse leaders in the waste and recycling, petrochemical, consumer goods products and retail industries.

Venzee Technologies CEO John Sexton Abrams told the Investing News Network how the company's partner-selling model is creating opportunities for growth. Venzee Technologies Inc. (TSXV:VENZ) CEO John Abrams believes that the company's use of channel partners is fundamental to its growth, leading the company to new and better opportunities. Venzee Technologies is a software-as-a-service (SaaS) company that serves as a data-exchange link between product manufacturers, suppliers and retailers. The company's platform uses artificial intelligence and machine learning to consolidate and distribute product information across the global retail supply chain. In October 2019, the company announced that it had added two Fortune 1000 manufacturing companies to its roster of clients.

Today's largest manufacturing country headed the output league table nearly two centuries ago before being ousted by Britain in the first industrial revolution. China accounts for 20 per cent of global output, followed by the United States with 18 per cent, Japan 10 per cent, Germany 7 per cent and South Korea with 4 per cent, according to the most recent (2015) data from the United Nations Conference on Trade and Development. The UK is ninth with 2 per cent. In the intervening centuries there have been sizeable shifts. China reclaimed its crown after 150 years by overtaking America during the past decade.

TV shows and fiction aside, the present day examples of basic AI are Google Voice, Cortana, Alexa, Siri and chatbots. However, AI isn't just limited to voice assistants, it's turning tables in other domains and industries as well. Several restaurants for instance have bots for room service, serving food and carrying luggage. Let's take a look at some interesting and mind-bending stats and facts on this prevalent technology to give you a better idea of the direction the market is headed. He said that at a town hall event in San Francisco in January last year and he couldn't be more right. Today we have robots to help differently-abled people dress up.

Peter Ruffley, chairman at Zizo, discusses how we can best use artificial intelligence and what its role is within the data centre. The interest in adding AI and machine learning to business models is fast gaining momentum as organisations look to find patterns within their data that can deliver greater business and customer intelligence, and predict future trends. As Gartner highlights, the number of enterprises implementing AI tripled in the past year. However, Gartner also claims that more than 30% of data centres that don't deploy AI and machine learning won't be operationally and economically feasible by 2020. At present, the IT industry is doing itself no favours by promising the earth with emerging technologies, without having the ability to fully deliver them.

The Food and Drug Administration (FDA) is announcing the following public workshop entitled "Evolving Role of Artificial Intelligence in Radiological Imaging." The intent of this public workshop is to discuss emerging applications of Artificial Intelligence (AI) in radiological imaging including AI devices intended to automate the diagnostic radiology workflow as well as guided image acquisition. The purpose of the workshop is to work with interested stakeholders to identify the benefits and risks associated with use of AI in radiological imaging. We also plan to discuss best practices for the validation of AI-automated radiological imaging software and image acquisition devices. Validation of device performance with respect to the intended use is critical to assess safety and effectiveness.