If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
A group from Imperial College London has developed an approach that combines artificial intelligence (AI) with more traditional mechanistic models, to predict the yields and critical quality attributes of antibody products. "These sorts of tools might help [drug developers] develop processes faster and explore different process conditions without exhaustive experiments," explains Cleo Kontoravdi, PhD, an associate professor in biosystems engineering at Imperial College. "And, for manufacturers, our work can help them with regulatory approval where they need to show they have a good handle on [product] quality and reproducibility." Traditionally, some companies use mechanistic models to predict glycosylation and other critical quality parameters, Kontoravdi points out. However, these models are time-consuming to develop and require good knowledge of processes taking part in cells.
Retaining customers purely depends on the relationship a retailer has with its visitors. Providing appealing offers and personalized discounts may be one of the parameters in strengthening the relationship. However, the majority of customer relationships happen with after-sales services. How well a retailer provides maintenance of the product? And, How quickly the customer receives support from the retailer? Nevertheless, the major challenge associated with customer relationships is the retailers' lack of maintenance and support.
Ozone levels in the earth's troposphere (the lowest level of our atmosphere) can now be forecasted with accuracy up to two weeks in advance, a remarkable improvement over current systems that can accurately predict ozone levels only three days ahead. The new artificial intelligence system developed in the University of Houston's Air Quality Forecasting and Modeling Lab could lead to improved ways to control high ozone problems and even contribute to solutions for climate change issues. Nobody had done this previously. I believe we are the first to try to forecast surface ozone levels two weeks in advance." The findings are published online in the scientific journal, Scientific Reports-Nature. Ozone, a colorless gas, is helpful in the right place and amount. As a part of the earth's stratosphere ("the ozone layer"), it protects by filtering out UV radiation from the sun. But when there are high concentrations of ozone near earth's surface, it is toxic to lungs and hearts.
All the sessions from Transform 2021 are available on-demand now. Low-code automation platform Appian today announced that it acquired Lana Labs, a process mining company, for an undisclosed amount. Appian says that with the addition of Lana, it'll be able to deliver actionable and continuous process optimization with people, systems, and data in the same workflow. Digital transformation and the ability to adapt quickly are critical in today's business environment. That's why a growing number of companies are adopting process mining, a family of techniques that support the analysis of operational processes of event logs, with the goal of turning event data into insights and actions.
In late June of 2021, GitHub launched a'technical preview' of what they termed GitHub Copilot, described as an'AI pair programmer which helps you write better code'. Quite predictably, responses to this announcement varied from glee at the glorious arrival of our code-generating AI overlords, to dismay and predictions of doom and gloom as before long companies would be firing software developers en-masse. As is usually the case with such controversial topics, neither of these extremes are even remotely close to the truth. In fact, the OpenAI Codex machine learning model which underlies GitHub's Copilot is derived from OpenAI's GPT-3 natural language model, and features many of the same stumbles and gaffes which GTP-3 has. So if Codex and with it Copilot isn't everything it's cracked up to be, what is the big deal, and why show it at all?
A team of Spanish scientists, led by Núria López-Bigas, has developed a system based on artificial intelligence that can identify the mutations that cause cancer in different kinds of tumors. Known as BoostDM, it uses self-teaching algorithms and is capable of searching through the mutational profiles of 28,000 genomes in 66 types of cancer and is now available for doctors and scientists the world over to incorporate into their investigations free of charge. López-Bigas, who heads up the Biomedical Genomics Research Group at the Institute for Research in Biomedicine in Barcelona, explains over the telephone that the new system will contribute toward a greater understanding of the initial processes governing the formation of tumors in different tissues. "One of the objectives of BoostDM is to help doctors to make better decisions in prescribing specific therapies for each individual patient," she says. The conclusions of the research, published on July 28 in the scientific journal Nature, show that with sufficient data it is possible to determine which of the thousands of mutations present in a tumor are the actual cause of the illness without the need to carry out expensive and time-consuming experiments studying the effects of each and every one, as currently happens in the majority of hospitals.
This article is part of "the philosophy of artificial intelligence," a series of posts that explore the ethical, moral, and social implications of AI today and in the future For decades, scientists have tried to create computational imitations of the brain. And for decades, the holy grail of artificial general intelligence, computers that can think and act like humans, has continued to elude scientists and researchers. Why do we continue to replicate some aspects of intelligence but fail to generate systems that can generalize their skills like humans and animals? One computer scientist who has been working on AI for three decades believes that to get past the hurdles of narrow AI, we must look at intelligence from a different and more fundamental perspective. In a paper that was presented at the Brain-Inspired Cognitive Architectures for Artificial Intelligence (BICA*AI), Sathyanaraya Raghavachary, Associate Professor of Computer Science at the University of Southern California, discusses "considered response," a theory that can generalize to all forms of intelligent life that have evolved and thrived on our planet.
Israel's defense minister warned Thursday that his country is prepared to strike Iran, issuing the threat against the Islamic Republic after a fatal drone strike on a oil tanker at sea that his nation blamed on Tehran. The comments by Benny Gantz come as Israel lobbies countries for action at the United Nations over last week's attack on the oil tanker Mercer Street that killed two people. The tanker, struck off Oman in the Arabian Sea, is managed by a firm owned by an Israeli billionaire. The U.S. and the United Kingdom also blamed Iran for the attack, but no country has offered evidence or intelligence to support the claim. Iran, which along with its regional militia allies has launched similar drone attacks, has denied being involved.
On "Plat Chat," a talk show that covers the Overwatch League, pink coffee mugs sporting "presented by T-Mobile" also disappeared. The podcast has a rotating cast of commentators, some of whom work full-time for the Overwatch League, though one host told The Post the podcast is completely separate from Activision Blizzard. The host declined to answer questions earlier this week because they said the show is still in active talks with T-Mobile.
Following a report on work the company was doing to create a tool that scans iPhones for child abuse images, Apple has published a post that provides more details on its efforts related to child safety. With the release of iOS 15, watchOS 8 and macOS Monterey later this year, the company says it will introduce a variety of child safety features across Messages, Photos and Siri. To start, the Messages app will include new notifications that will warn children, as well as their parents, when they either send or receive sexually explicit photos. When someone sends a child an inappropriate image, the app will blur it and display several warnings. "It's not your fault, but sensitive photos and videos can be used to hurt you," says one of the notifications, per a screenshot Apple shared.