Stuttering is a varied speech disorder that harms an individual's communication ability. Persons who stutter (PWS) often use speech therapy to cope with their condition. Improving speech recognition systems for people with such non-typical speech or tracking the effectiveness of speech therapy would require systems that can detect dysfluencies while at the same time being able to detect speech techniques acquired in therapy. This paper shows that fine-tuning wav2vec 2.0 [1] for the classification of stuttering on a sizeable English corpus containing stuttered speech, in conjunction with multi-task learning, boosts the effectiveness of the general-purpose wav2vec 2.0 features for detecting stuttering in speech; both within and across languages. We evaluate our method on FluencyBank , [2] and the German therapy-centric Kassel State of Fluency (KSoF) [3] dataset by training Support Vector Machine classifiers using features extracted from the finetuned models for six different stuttering-related event types: blocks, prolongations, sound repetitions, word repetitions, interjections, and - specific to therapy - speech modifications. Using embeddings from the fine-tuned models leads to relative classification performance gains up to 27% w.r.t. F1-score.

Defence ministers from NATO countries and other parts of the world will convene to discuss weapons deliveries to Ukraine on Wednesday. The meeting comes as Kyiv seeks a significant increase in arms to fight off Russian forces. Ahead of the talks, NATO Secretary General Jens Stoltenberg said allies would continue to deliver heavy weapons and long-range systems to Ukraine. Since the Russian invasion on February 24, Ukraine has received billions of dollars' worth of weapons and military equipment from at least 28 countries. Twenty-five of the 28 nations providing military assistance to Ukraine are NATO members, including the US and UK, which are supplying Kyiv with sophisticated weapons such as multiple rocket launch systems (MLRS). Despite its growing arsenal, Ukraine, which has an active military personnel of just 200,000, is significantly outgunned by Russian forces.

Have you ever seen a bridge collapse on TV? We only care about inspection and maintenance if it does not work. However, robotics are changing the inspection & maintenance landscape, and significant societal and political implications follow the magnitude of innovation. To pay due attention to these developments, the communication on innovation in robotics for inspection & maintenance has to play a role in informing and influencing the target groups for the successful adoption of robotics technologies. The question on what role communications play in forming the perception of innovative technology was discussed in the workshop "Communicating innovation: What can we do better?" on May 25th, 2022.

Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce a hypothesis (a set of logical rules) that generalises training examples. As ILP turns 30, we provide a new introduction to the field. We introduce the necessary logical notation and the main learning settings; describe the building blocks of an ILP system; compare several systems on several dimensions; describe four systems (Aleph, TILDE, ASPAL, and Metagol); highlight key application areas; and, finally, summarise current limitations and directions for future research.

The Industrial Revolution was a time of great change. With the steam engine, industries shifted away from skilled human labour towards mechanisation and machinery. As a result, many specialised workers lost their jobs and were forced to adapt to their new reality. The Luddites, a radical organisation of textile workers who were made redundant by textile machines, retaliated by destroying these machines and assassinated business owners. The Luddites gained public sympathy as many were afraid that they, like the retrenched textile workers, would lose their jobs to automated machinery.

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 …