Fetch.ai, an artificial intelligence lab based in the British city of Cambridge, today announced the launch of its new non-fungible token(NFT) platform, Colearn Paint, that will allow creators to automatically generate NFTs using a machine learning algorithm.Continue reading… “Fetch.ai brings AI and machine learning to NFT creators”
By Asif Razzaq
Samsung is making cutting edge chips by using artificial intelligence. The South Korean company has partnered with Synopsys, a leading chip design software firm, to create the new AI-powered features in their latest line of computer processor designs.
Synopsys has a new tool that can help companies design and create chips with AI. The DSO.ai software can optimise the chip designs, which will accelerate semiconductor development to unlock novel chip designs, according to industry watchers. With years of cutting-edge semiconductor designers available for training algorithms to emulate human intelligence, this could be Synopsis’s next breakthrough technology!Continue reading… “Samsung Introduces Its Own AI-Designed Chip”
‘We see this as a tool to multiply programmers’
AI research company OpenAI is releasing a new machine learning tool that translates the English language into code. The software is called Codex and is designed to speed up the work of professional programmers, as well as help amateurs get started coding.
In demos of Codex, OpenAI shows how the software can be used to build simple websites and rudimentary games using natural language, as well as translate between different programming languages and tackle data science queries. Users type English commands into the software, like “create a webpage with a menu on the side and title at the top,” and Codex translates this into code. The software is far from infallible and takes some patience to operate, but could prove invaluable in making coding faster and more accessible.
“IT TAKES PEOPLE WHO ARE ALREADY PROGRAMMERS AND REMOVES THE DRUDGE WORK.”
Thanks to the new art-meets-tech service, Artifly.
In 2018, Christie’s shocked the world by selling the world’s first fully AI-produced artwork. The work was entitled Portrait of Edmond de Belamy 2018 and sold for $432,500 USD, as opposed to the $10,000 USD it was expected to go for. The breakthrough was led by Hugo Caselles-Dupré, Pierre Fautrel, and Gauthier Vernier — who make up the collective Obvious Art.
Ben Kovalis, Eyal Fisher and Guy Haimovitz are three of the many people who took inspiration from the work Obvious had created. Upon creating Art AI Gallery in 2019, the group have just launched a new tech-meets-art venture, called Artifly. The name derives from “Art on the Fly” and allows users to choose a selection of artwork that fit their style, then an advanced algorithm will muster up a personal artwork within minutes that is available for purchase. Unlike some of the exorbitant prices fetched for NFTs, Artifly’s custom artwork is fairly inexpensive, with rates as low as $29 USD for an unframed canvas.Continue reading… “Artificial Intelligence Can Now Create Canvas Artworks”
Artificial intelligence has found yet another valuable use case, finding dates!
Artificial Intelligence is an astounding technology that is transforming many aspects of our lives, even dating! Over the last decade, online dating has become an everyday reality. Human lives are only becoming hectic and people are seeking online options to find companionship. Hence, dating app development has picked up the pace. Artificial intelligence and machine learning are making the process of finding the right match easier. Users often complain about the mismatch of profiles, but with these technologies, the searching process becomes more personalized and accurate.Continue reading… “CUPID’S ALGORITHM: ARTIFICIAL INTELLIGENCE IS BEING USED FOR MATCHMAKING”
The patent was granted, oddly enough, for the creation of a fractal-based food and beverage container that might improve on currently available designs like the one pictured.
Intellectual property (IP) officials in South Africa have made history in a landmark decision to award a patent that names an artificial intelligence (AI) as the inventor.
The patent—which was filed by an international team of lawyers and researchers led by the University of Surrey’s, Professor of Law and Health Sciences, Ryan Abbott —is for a food container based on fractal geometry. This container was designed and created by an AI called DABUS (“device for the autonomous bootstrapping of unified sentience”).
Historically, an “inventor” of a patent had to be a human being, although the ownership of that patent is commonly given to the company that employs the inventor. While patent law in many jurisdictions is very specific in how it defines an inventor, the DABUS team is arguing that the status quo is not fit for purpose in the Fourth Industrial Revolution.
By DREW REEVES
PORTLAND, OR (KPTV) – Technology that has expanded across the state of Oregon is helping fire prevention specialists to spot fires in rural areas quicker before they grow to something more catastrophic.
Oregon has seen an increase in megafires in the last 20 years. The Bootleg Fire is the latest megafire and is burning right now in southern Oregon.
Fires in rural areas, where few people live, and work can easily go undetected by humans, which could lead to thousands of acres burning before anyone notices. Previously these kinds of fires would be spotted by a person manned at a lookout station.
As these lookout stations got older and became expensive to replace, the Douglas Forest Protective Association found a new alternative. They started implementing cameras that could detect changes, including the development of smoke.
Douglas County implemented the first cameras in 2006 and switched to them completely in 2011. From there, they quickly expanded across the state.Continue reading… “AI technology helps fire prevention specialists spot fires in the early stages”
Healthcare facilities are looking to artificial intelligence to optimise operational performance at a time when rising demand for their services is stretching resources and limiting the patient experience.
Improving operational efficiency has emerged as a priority for healthcare facilities as they seek predictive ways to manage and allocate resources at a time of ever-increasing demand for their services.
Many of them are now turning to AI as a key enabler of a more progressive approach, helping them to plan their logistical responses based on the latest data – and maintain their focus on delivering end-to-end patient care of the highest quality.Continue reading… “How AI can take optimised healthcare resource utilisation to the next level”
Scientists have developed a new artificial intelligence technology that can spot shipwrecks from the ocean surface and also from the air.
The University of Texas collaborated with the United State Navy’s underwater archeology branch to develop this new artificial intelligence software capable of detecting shipwrecks with an accuracy rate of 92%.
The newly developed computer model is now ready to be deployed in order to identify unmapped shipwrecks on the coasts of the United States and Puerto Rico. The artificial intelligence algorithm was fed with images of shipwrecks and underwater topology to enable it to recognize unknown wrecks.
The platform uses images from publicly available databases of pictures collected from various parts of the globe and the National Oceanic and Atmospheric Administration’s database of shipwrecks. It also uses lidar and sonar-based imageries of the seafloor to carry out its operations more accurately.Continue reading… “New Artificial Intelligence Technology Can Spot Shipwrecks From Ocean Surface And Air”
Artificial intelligence (AI) is proving very adept at certain tasks – like inventing human faces that don’t actually exist, or winning games of poker – but these networks still struggle when it comes to something humans do naturally: imagine.-
Once human beings know what a cat is, we can easily imagine a cat of a different color, or a cat in a different pose, or a cat in different surroundings. For AI networks, that’s much harder, even though they can recognize a cat when they see it (with enough training).
To try and unlock AI’s capacity for imagination, researchers have come up with a new method for enabling artificial intelligence systems to work out what an object should look like, even if they’ve never actually seen one exactly like it before.
“We were inspired by human visual generalization capabilities to try to simulate human imagination in machines,” says computer scientist Yunhao Ge from the University of Southern California (USC).-
“Humans can separate their learned knowledge by attributes – for instance, shape, pose, position, color – and then recombine them to imagine a new object. Our paper attempts to simulate this process using neural networks.”Continue reading… “Scientists Are Giving AI The Ability to Imagine Things It’s Never Seen Before”
A new “red team” will try to anticipate and thwart attacks on machine learning programs.
THE PENTAGON SEES artificial intelligence as a way to outfox, outmaneuver, and dominate future adversaries. But the brittle nature of AI means that without due care, the technology could perhaps hand enemies a new way to attack.
The Joint Artificial Intelligence Center, created by the Pentagon to help the US military make use of AI, recently formed a unit to collect, vet, and distribute open source and industry machine learning models to groups across the Department of Defense. Part of that effort points to a key challenge with using AI for military ends. A machine learning “red team,” known as the Test and Evaluation Group, will probe pretrained models for weaknesses. Another cybersecurity team examines AI code and data for hidden vulnerabilities.
Machine learning, the technique behind modern AI, represents a fundamentally different, often more powerful, way to write computer code. Instead of writing rules for a machine to follow, machine learning generates its own rules by learning from data. The trouble is, this learning process, along with artifacts or errors in the training data, can cause AI models to behave in strange or unpredictable ways.
“For some applications, machine learning software is just a bajillion times better than traditional software,” says Gregory Allen, director of strategy and policy at the JAIC. But, he adds, machine learning “also breaks in different ways than traditional software.”Continue reading… “The Pentagon Is Bolstering Its AI Systems—by Hacking Itself”
There’s Netflix for movies. Stitch Fix for clothes. Hungryroot, an AI-powered delivery service, hopes to occupy a similar niche for online groceries in the United States.
The recommender system uses a collaborative filtering, supervised learning model to match consumer preferences to foods. Customers answer questions about their dietary habits, the kinds of foods they (and family members) like, the family size, budget, and more. On a weekly basis, the Hungryroot algorithm predicts the groceries the customer might like. Once the customer approves the list, a box ships from one of three Hungryroot locations. Customers also receive a set of recipes, also predicted by the algorithm, that use the week’s ingredients.
Neil Saunders, the managing director of GlobalData’s retail division, has seen grocery retailers of all stripes lean into AI as a way of better forecasting demand. “With the disruption from the pandemic and more people buying groceries online, demand forecasting has become increasingly difficult for retailers and AI can help them make sense of the data and make more accurate decisions about what to stock,” Saunders says.Continue reading… “Hungryroot delivers AI-powered grocery experience”