We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Can artificial intelligence (AI) be legally listed as an inventor? After all, if AI can legally invent products, the number of patents on drug-discovery tools will shoot up fast. The issue is currently before a United States court. The U.S. Court of Appeals heard arguments on that question again last week, and the ruling could affect the pace of AI technology development, particularly within the pharmaceutical and life science industries.

A machine learning program has been used to distinguish between cancerous and healthy cells by identifying patterns in characteristic combinations of genes.

As a chemistry PhD student, Dmytro Kolodieznyi was used to running experiments. But in early 2018, his research advisers asked him to take part in one run by robots instead. They wanted Kolodieznyi, who was developing intracellular fluorescent probes at Carnegie Mellon University in Pittsburgh, Pennsylvania, to spend a month attempting to recreate his research at Emerald Cloud Lab (ECL). The biotechnology company in South San Francisco, California, enables scientists to perform wet-laboratory experiments remotely in an automated research environment known as a cloud lab. If the trial went well, it would help pave the way to the wider use of cloud labs at the university.

"The study of thinking machines teaches us more about the brain than we can learn by introspective methods. Western man is externalizing himself in the form of gadgets." We are experiencing one of the biggest refugee crises since World War II. Within weeks of the beginning of the Russian invasion of Ukraine, more than 4 million people fled the country, according to the UN Refugee Agency (UNHCR). Although international media attention is focused on Eastern Europe, this is on top of an already-desperate situation in the Global South: It is estimated that countries in that region of the world have absorbed two-thirds of an estimated 82.4 million global refugees.

A new generation of artificial intelligence (AI) models can produce … "adversarial attack" against a machine learning system: a way to break the …

The Conversation – A new generation of artificial intelligence (AI) models can produce "creative" images on-demand based on a text prompt. While the output of these models is often striking, it's hard to know exactly how they produce their results. Last week, researchers in the US made the intriguing claim that the DALL-E 2 model might have invented its own secret language to talk about objects. DALLE-2 has a secret language. By prompting DALL-E 2 to create images containing text captions, then feeding the resulting (gibberish) captions back into the system, the researchers concluded DALL-E 2 thinks Vicootes means "vegetables", while Wa ch zod rea refers to "sea creatures that a whale might eat".

A team of researchers affiliated with multiple institutions in the U.S., including Google Quantum AI, and a colleague in Australia, has developed a theory suggesting that quantum computers should be exponentially faster on some learning tasks than classical machines. In their paper published in the journal Science, the group describes their theory and results when tested on Google's Sycamore quantum computer. Vedran Dunjko with Leiden University City has published a Perspective piece in the same journal issue outlining the idea behind combining quantum computing with machine learning to provide a new level of computer-based learning systems. Machine learning is a system by which computers trained with datasets make informed guesses about new data. And quantum computing involves using sub-atomic particles to represent qubits as a means for conducting applications many times faster than is possible with classical computers.

We are looking to expand our Analytics team with a data scientist to help create data-driven internal solutions for the Illuvium DAO. Illuvium Labs is an independent game development studio based in Sydney, Australia. We have developed a strong culture of independence with our team, preferring candidates who can articulate their own vision and goals. We operate almost entirely remotely so each team member designs their own hours and work schedule. In the end all that matters is the delivered product.

I have long been intrigued by archaeogaming--an academic discipline that explores the fusion of archaeological objects, methods, and characters into video games. So I was thrilled when the video game company Ubisoft released Assassin's Creed: Origins, set in Egypt during Cleopatra's reign. The designers collaborated with Egyptologists to ensure everything from the architecture to the hieroglyphics created an accurate, immersive world. Unexpectedly, this partnership inspired a machine-learning spinoff that changed the course of my early career. While working with Egyptologists, the game developers learned that translating and interpreting ancient hieroglyphic texts is time-consuming, and the process has changed little in the last century.

Its fellow countdown – run by ABC Classic – usually does not. As its name implies, the Classic 100 is typically a more subdued affair. Unlike its boozy, bombastic cousin, the ABC's classical music station broadcasts the top 100 over multiple days. And since its inception in 2001, the annual countdown has been themed around certain genres or forms, asking listeners to vote for their favourite operas, symphonies and, one year, French compositions. This year, though, the Classic 100 might sound a little different.