The ACM International Conference on AI in Finance (ICAIF) will explore the effects of AI on the finance world through a dynamic program of work from top researchers. Key topics include machine learning methods for detecting money laundering and algorithms for future capital markets.
The conference features research on cutting-edge topics such as computational health, machine learning for wireless networks, and the impact of 5G technologies. MobiCom 2020 also highlights keynotes from experts in the field, including a discussion on brain-computer interfaces and the future of 5G infrastructure.
The conference highlights research on emotion AI, expressive writing, and dialogue systems to mitigate the impacts of COVID-19. Virtual attendees can engage with keynote speakers and other participants in interactive spaces, facilitating social interaction and discussion.
KDD 2020 features four keynote talks on meta-provenance, AI for intelligent financial services, state-space multi-taper time-frequency analysis, and computational epidemiology. The conference will also include 18 applied data science invited talks and 217 accepted research papers.
The ACM SIGCOMM conference emphasizes the importance of communications technologies in maintaining daily life. The virtual event showcases research papers on various topics, including programmable switches and video applications. Keynote speakers are recognized for their contributions to data network architectures, and the conference a...
A global team of computer scientists developed a novel deep-learning framework to automate precise translation of human motion. The framework can accurately replicate motion retargeting without specifying explicit pairing between varying data sets, enabling the training of stronger models.
A team of computer scientists developed a novel method for simulating yarn-cloth patterns, accurately capturing the physics of fabrics including stretching and bending response. The technique enables faster and more accurate simulations of knitted and woven materials while preserving material properties.
Researchers at Facebook have developed an end-to-end system that converts 2D photos into 3D images, requiring no advanced photographic skills or equipment. The new technology provides seamless real-time conversion, robust enough to work on almost any photo, and generates results in seconds.
The new research system records, reconstructs, compresses, and delivers high-quality immersive light field videos with a lightweight and efficient approach. The team overcomes challenges to create a realistic virtual environment with panoramic views and natural lighting effects.
Barroso's designs paired inexpensive hardware with powerful distributed systems software to dramatically change system design. His work led to the development of hyperscale datacenters and has had a significant impact on industry, resulting in reduced hardware and operating costs.
Cynthia Dwork has received the Knuth Prize for her groundbreaking work on cryptography in network environments, privacy, and foundational contributions to theoretical computer science. Her research transformed several fields, including distributed systems, data privacy, and fairness in algorithmic decision making.
The Web Conference will be organized by ACM SIGWEB, a community of scholars studying linked information and its applications. The conference aims to provide a forum for researchers, decision-makers, and practitioners to present their work and receive feedback.
Ed Catmull and Pat Hanrahan's innovations in 3-D computer graphics revolutionized the film industry, leading to entirely computer-animated feature films. Their work also impacts video gaming, virtual reality, and augmented reality.
The ACM Transactions on Internet of Things (TIOT) journal chronicles the transformative development of the IoT. The journal covers a broad range of topics, including low-power wireless networking, embedded systems, data analytics, and security, with a strong emphasis on experimental validation.
The ETH Zurich team's project, 'A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations,' developed a new framework called DaCe OMEN for simulating heat in transistors. The simulation achieved a two-orders-of-magnitude speedup and can help design better computer chips.
Google's Relightables system allows users to record someone then view them from any viewpoint and lighting condition, removing the need for a green screen. The system captures reflectance information on a person and records while they are moving freely within the volume, enabling relighting in arbitrary environments.
A global team of computer scientists developed Write-A-Video, a new tool that generates videos from themed text. Novice users can produce quality video montages in a simple and user-friendly manner without requiring professional skills.
A team of computer scientists presents a novel multi-scale framework to simulate complex fluid-strand interactions, enabling realistic animations in visual effects. The method accurately models the complexity of fluid-strand dynamics across multiple scales, from thin strands to bulk fluids.
A new method uses deep neural networks to precisely guide animated characters by inferring various motions, such as sitting, picking up objects, and running. The technique achieves this in a user-friendly way with simple control commands.
Geoffrey C. Fox is recognized for his significant contributions to parallel computing, including the development of Twister and SPIDAL projects. He has also made notable service to the community through various organizations and roles.
A new method enables automatic replication of detailed 3D shapes in a digital environment, overcoming the challenge of replicating cube-style shapes. The algorithm captures realistic cubic style and allows users to create new shapes resembling the input shape.
Researchers develop LOGAN, a deep neural network that can transform shapes between unpaired domains, enabling automatic translation of objects like chairs to tables. The method learns unique features and preserves key characteristics during transformations.
The Computer Science Teachers Association (CSTA) has selected ten educators for its inaugural Equity Fellowship, a year-long program aimed at increasing diversity in computer science education. The fellows will share their inclusive teaching practices and leadership to drive change across the country and worldwide.
Bengio will discuss recent successes and limitations of deep learning, as well as research directions for building human-level AI. The event is part of the Heidelberg Laureate Forum, a networking event bringing together young researchers and award recipients.
Milinda Fernando and Staci Smith receive the fellowship for their work on high-performance algorithms and dynamic re-routing algorithms, respectively. Their research enables efficient use of modern supercomputers in various scientific disciplines.
The KDD Cup 2019 competition featured three tracks tackling societal challenges such as transportation and malaria. Teams won prizes of up to $15,000 by applying machine learning tools to complex problems.
Researchers developed a user-friendly, stretch-sensing data glove to capture real-time, interactive hand poses with precision. The gloves outperformed commercial products in most cases, and the team plans to expand to other sizes and shapes.
Researchers develop a novel method to automatically design a mode-free, model-agnostic AI-driven controller for any hybrid UAV, simplifying control and increasing accessibility. The team uses reinforcement learning techniques to optimize flight performance in realistic simulations.
Facebook researchers create a system to animate precise, lifelike avatars in VR using cameras mounted on a headset. The system enables two-way social interaction and overcomes challenges of camera views and appearance differences between images and avatar renderings.
Researchers developed a novel method for producing higher-quality images and scene designs in less time by using a deep-learning-based approach that considerably cuts the noise in images. The method results in sharper images with intricate details, including complex lighting components.
A team of computer scientists has developed a method to analyze artistic portraiture, capturing facial features and individual style with high accuracy. The researchers used 'artistic augmentation' to transform photographic face data into more similar to artistic portraits.
The ACM Student Research Competition, sponsored by Microsoft, recognizes promising computer science students who receive travel grants to present their original research at well-known conferences. The top three winners in both graduate and undergraduate categories receive prizes of $500, $300, and $200, respectively.
Mendel Rosenblum's work on virtual machines transformed datacenters and enabled modern cloud computing. His contributions led to the development of Amazon Web Services, Microsoft Azure, and Google Cloud.
Patel's work has ushered in possibilities in sustainability and health, enabling widespread adoption of systems that monitor individual health with smartphones. His research closed the gap between science fiction and reality in ubiquitous computing for sustainability and health.
The Association for Computing Machinery recognizes outstanding research in computer science education, highlighting key findings such as the importance of understanding student misconceptions and the efficacy of peer instruction. The top ten papers are chosen from among the best presented at the SIGCSE Technical Symposium over 49 years.
A novel framework combines CNNs and geometric inference methods to compute sketches and their corresponding 3D shapes faster and more intuitively than existing methods. Novice users can create stylish contents for their 3D creations using the tool.
A global team of computer scientists developed a method to replicate physical objects for virtual and augmented reality using a single camera with a built-in flash. The technique captures high-quality 3D geometry as well as material appearance, reproducing realistic objects in any virtual environment.
A new algorithm computes and enables realistic movement and distortion of 3D surfaces, including gravity, contact, and friction. The method allows users to freely design garments around a 3D character without worrying about physics.
Researchers have developed a new method to replicate complex natural tessellations on surface meshes using layered fields and sparse linear algebra kernels. The algorithm is platform-independent, concise, and achieves considerable performance gains over existing serial Voronoi diagram codes.
Researchers develop novel method to realistically simulate dressing tasks using machine learning techniques, incorporating sense of touch to overcome challenges in cloth simulation. The approach enables single dressing sequences and a character controller that can successfully dress under various conditions.
A team of computer scientists developed a novel deep learning-based approach to automatically generate realistic caricatures from portraits. Their method, called CariGANs, successfully generated clearer and more accurate caricature depictions that resemble hand-drawn artwork by professionals.
Researchers at Oak Ridge National Laboratory developed an algorithm that uses supercomputers to analyze genetic data, identifying genes linked to pain and opioid addiction. Meanwhile, a team from Lawrence Berkeley National Laboratory used deep learning methods to improve weather forecasting, leveraging high-performance computing and in...
Linda Gesenhues and Markus Höhnerbach receive fellowships for their work on finite element simulation of turbidity currents and portable optimizations of complex molecular dynamics codes. Their research has potential applications in geological phenomena, such as underwater volcanoes and earthquakes.
Johan Torkel Håstad of KTH Royal Institute of Technology is awarded the 2018 Donald E. Knuth Prize for his significant contributions to computer science, including optimization and cryptography. The prize recognizes his transformative techniques that have influenced subsequent work in these areas.
The Google team developed a comprehensive system for capturing and rendering high-quality spherical light field still images from footage captured in the real world. The processing pipeline uses computer vision to place the images in 3D and generate depth maps, resulting in a truly immersive experience with unmatched realism.
Walt Disney Animation Studios premieres its first VR short film Cycles at SIGGRAPH 2018, exploring the true meaning of creating a home and the life within. The film utilizes innovative techniques such as Quill VR painting and motion capture to bring the story to life in immersive virtual reality.
A new AI-based framework has been developed to create realistic textures in virtual worlds, addressing the challenge of designing complex and believable textures. The tool uses generative adversarial networks (GANs) to train computers to expand small textures into larger ones, resulting in efficient and realistic designs.
A research team has developed a new sketch-based editing framework called FaceShop that uses machine-learning techniques to enable users to edit their photos by 'sketching' a few strokes on top of them. The system allows untrained users to perform complex edits within minutes using an intuitive interface.
A new approach in VR redirected walking leverages eye blinks to provide users with a realistic perception of infinite space. The technique, developed by computer scientists, involves redirecting the user's viewpoint during natural instances of eye blinking, without undetectable camera movements.
Researchers have developed Autofocals, a system that automatically corrects presbyopia by mimicking the natural accommodation response of the eye. Users experienced better visual acuity at nearer distances compared to monovision and progressive lenses methods.