To address this issue, we propose using probabilistic reparameterization ( PR).

Get a daily recap in your inbox! DrDub#0108, an independent researcher, has just achieved over 2000 citations in the fields of natural language processing, AI, ML, and information retrieval. You can find a list of all the papers here and join in on the conversation here. Self-Supervised Learning (SSL) is the backbone of transformer-based pre-trained language models. This paradigm involves solving pre-training tasks (PT) that help model the natural language.

In the wake of a seminal wave of new artificial intelligence startups such as OpenAI, a new U.K. company claims it can track and rank banks on their ability to develop and deploy AI platforms. Evident, a benchmarking and intelligence company, says its inaugural Index can rank the 23 largest banks in North America and Europe on their competence in AI. "As the real-world application of AI accelerates at astonishing speed, we believe that this transformation is too important -- for managers, for investors, for society at large -- to be happening in a darkened room. Our Index measures the race to banking AI maturity in a way that brings transparency to the top of the agenda," said Alexandra Mousavizadeh, Evident co-founder and CEO in a statement. Over a call she added: "Setting our methodology onto the banks felt like the right place to start because this is a sector that has been really focused on this for a number of years. After this we plan to go into insurance and the health sector as well as the energy sector, manufacturing and so on."

Originally published on Towards AI. Our Learn AI Together Discord community has grown to 35,000 members and we are excited to see the engagement in our new AI Technical Questions forum format where members of our community and team are there to try to help with any AI questions, theory or ops. Building on this we have several exciting new features in the pipeline for the Community this year starting with Community Events. Given the success of the graduate seminar on Neural Networks Architectures that Pablo Duboue (DrDub) taught last year in Argentina, he has decided to reiterate the seminar this year, this time in English in a 9 part series through the Towards AI Discord server. We are excited to host it and hope you will join us and learn with us! Add our Google calendar to see all our free AI events!

People Can Fly is one of the leading independent AAA games development studios with an international team of hundreds of talented individuals working from offices located in Poland, UK, US, and Canada, and from all over the world thanks to our remote work programs. Founded in 2002, we made our mark on the shooter genre with titles such as Painkiller, Bulletstorm, Gears of War: Judgment, and Outriders. We are one of the most experienced Unreal Engine studios in the industry and we are expanding it with in-house solutions called PCF Framework. Our creative teams are currently working on several exciting AAA projects with the top publishers in the industry: Project Gemini with Square Enix and Project Dagger with Take-Two (2K), in addition to a new IP to be self-published and two other games in a concept phase. One of our IPs is also being adapted for VR technology.

NOTE: THIS IS AN EARLY TIME SLOT SESSION - repeated on Thu Jan 26 at 3:30-4:30 pm ET. This a follow-up to the "Pre-Trained Language Models: A New Standard for NLU Tasks" sessions held on Jan 18 & 19, 2023, where we introduced pre-trained language models and explained how they have become a new standard for solving various NLP tasks. In this session, we will start with a quick recap of the previous session and then do a deep dive into the tools and frameworks for loading and fine-tuning pre-trained language models. We will load models from the HuggingFace Model Hub https://huggingface.co/models and fine-tune them on a public dataset to solve a downstream NLP task using a small dataset and a few training steps. Reza Fazeli is a conversational AI engineer for Watson Assistant, working closely with IBM Research teams to develop and deploy algorithms for improving our virtual assistant products.

New research uses AlphaFold, an artificial intelligence (AI)-powered protein structure database, to accelerate the design and synthesis of a drug to treat hepatocellular carcinoma (HCC), the most common type of primary liver cancer. It is the first successful application of AlphaFold to hit identification process in drug discovery. This study by an international team of researchers, published last week in Chemical Science, is led by the University of Toronto's Acceleration Consortium director Alán Aspuru-Guzik, Chemistry Nobel laureate Michael Levitt, and Insilico Medicine founder and CEO Alex Zhavoronkov. AI is revolutionizing drug discovery and development. In 2022, the AlphaFold computer program, developed by Alphabet's DeepMind, predicted protein structures for the whole human genome––a remarkable breakthrough in both AI applications and structural biology.

This week, Dana and Julia are joined by Slate writer Dan Kois. They start by discussing HBO's new series, The Last of Us, a video game adaptation with culture editor and writer at The New Yorker, Alex Barasch. Then they discuss the French film, Saint Omer, shortlisted for Best International Film at the 2023 Oscars. Finally, they finish by talking about Dan's essay on how the Trunchbull, the formidable villain of Roald Dahl's 1988 novel, Matilda is still evolving. Dan: Two books publishing this week, an anti-romantic comedy, Really Good, Actually by Monica Heisey, about a young woman in Toronto failing to deal with her divorce, and a novel by Matthew Salesses titled The Sense of Wonder about the ways Asian Americans navigate the worlds of sports and entertainment when everything is stacked against them.

The Special Issue will focus on the opportunities and challenges of automation and artificial intelligence (AI) applications for human resource management (HRM). Building on an increasing evidence base of its benefits for the business and employee experience (Budhwar et al., 2022; Malik et al., 2020, 2021; Nguyen & Malik, 2021) as well as threats to future of work and employment (Huang & Rust, 2018), this call aims to address several attendant challenges for HR managers, leaders and employees for responsible and sustainable deployment AI in the HR profession and the communities it will serve (Charlwood & Guenole, 2021). Although AI can make moral judgements, but the bigger question is whether we should allow it to make such judgements (Wheeler, 2021) as there are ethical, moral and legal issues at stake in the adoption, design and implementation of AI-enabled HRM applications and algorithmic decision-making (Duan, Edwards, & Dwivedi, 2019). Increasingly, questions about responsible management, decent work, ethics, trust between the interactions humans have with AI or humanoids as co-workers are topics of great scholarly pursuit (Agar, 2019; De Stefano, 2019; Glikson & Woolley, 2020). Submissions are made using ScholarOne Manuscripts.

Waterloo [Canada], January 16 (ANI): Researchers at the University of Waterloo have developed a computational model to better accurately anticipate the emergence of lethal brain tumours. Glioblastoma multiforme (GBM) is a type of brain cancer with a one-year survival rate. Because of its extraordinarily dense core, fast growth, and location in the brain, it is tough to cure. Estimating the diffusivity and proliferation rate of these tumours is useful for clinicians, but this information is difficult to estimate for an individual patient fast and accurately. Researchers at the University of Waterloo and the University of Toronto have partnered with St. Michael's Hospital in Toronto to analyze MRI data from multiple GBM sufferers.