To date, Transformer-based frameworks have demonstrated impressive results in single-image super-resolution (SISR).

To date, Transformer-based frameworks have demonstrated impressive results in single-image super-resolution (SISR).

To date, transformer-based frameworks have demonstrated impressive results in single-image super-resolution (SISR). However, under practical lightweight scenarios, the complex interaction of deep image feature extraction and similarity modeling limits the performance of these methods, since they require simultaneous layer-specific optimization of both two tasks. In this work, we introduce a novel Unified Projection Sharing algorithm(UPS) to decouple the feature extraction and similarity modeling, achieving notable performance. To do this, we establish a unified projection space defined by a learnable projection matrix, for similarity calculation across all self-attention layers. As a result, deep image feature extraction remains a per-layer optimization manner, while similarity modeling is carried out by projecting these image features onto the shared projection space.

Abstract-- In this paper, we introduce a kinodynamic model predictive control (MPC) framework that exploits unidirectional parallel springs (UPS) to improve the energy efficiency of dynamic legged robots. The proposed method employs a hierarchical control structure, where the solution of MPC with simplified dynamic models is used to warm-start the kinodynamic MPC, which accounts for nonlinear centroidal dynamics and kinematic constraints. The proposed approach enables energy efficient dynamic hopping on legged robots by using UPS to reduce peak motor torques and energy consumption during stance phases. Simulation results demonstrated a 38.8% reduction in the cost of transport (CoT) for a monoped robot equipped with UPS during high-speed hopping. Additionally, preliminary hardware experiments show a 14.8% reduction in The Cost of Transport (CoT) is plotted w.r.t.

UPS embeds different PDEs into a shared representation space and processes them using a FNO-transformer architecture. Rather than training the network from scratch, which is data-demanding and computationally expensive, we warm-start the transformer from pretrained LLMs and perform explicit alignment to reduce the modality gap while improving data and compute efficiency. The cross-modal UPS achieves state-of-the-art results on a wide range of 1D and 2D PDE families from PDEBench, outperforming existing unified models using 4 times less data and 26 times less compute. Meanwhile, it is capable of few-shot transfer to unseen PDE families and coefficients.

In the last week, highly anticipated songs by Drake and Taylor Swift appeared to leak online, sparking enormous reactions. Massive Reddit threads spawned, dissecting musical choices. Meme videos were created simulating other rappers' reactions to being dissed by Drake. The rapper Rick Ross even responded to the song's bars about him with a diss track of his own. But there was one big problem: neither Swift nor Drake confirmed that the songs were real.

Fox News correspondent Mike Tobin reports that severe weather disrupts travel plans ahead of the holidays on'Special Report.' FedEx and UPS announced mail delivery could be interrupted by the massive winter storm moving across the U.S. after key distribution hubs were blasted by the severe weather conditions. On Friday, FedEx posted a statement to its website warning those who used its Express service that the guaranteed delivery date of Dec. 26 may not be met after the Memphis and Indianapolis hubs experienced "substantial" weather disruptions. The shipping company said actions have been taken to lessen any impact on delivery, but the safety of its team members is the "number one priority." "We recognize the importance of deliveries this holiday weekend and are committed to providing service to the best of our ability by implementing contingency measures where it is safe and possible to do so," the statement read.

Autonomous truck startup TuSimple today announced a strategic agreement with the Traton Group, a Munch, Germany-based Volkswagen Group subsidiary. As a part of it, TuSimple plans to launch a development program to operate an autonomous hub-to-hub route between Södertälje to Jönköping in Sweden using Scania trucks manufactured by Traton. As for Traton, the company says it has taken a minority stake in TuSimple and will work with the startup to develop driverless systems for Traton-branded trucks, with the goal of testing self-driving truck fleets on roads throughout Sweden, Germany, and other European countries. Some experts predict the coronavirus outbreak will hasten the adoption of autonomous delivery solutions like TuSimple's. A study published by CarGurus found that 39% of people won't use manually driven ride-sharing services post-pandemic for fear of insufficient sanitation.

Graphcore, the UK-based AI chipmaker has unveiled new hardware and software innovations that push the boundaries of research and development in AI. The company has announced the second generation of its flagship Intelligence Processing Unit (IPU) chip, the GC200 or the Colossus MK2. According to Graphcore, GC200 is the most complex processor ever made. The IPU chip is at the core of every IPU-Machine M2000, a plug-and-play Machine Intelligence compute blade that has been designed for easy deployment and supports systems that can grow to massive scale. Karl Freund, Senior Analyst at Moor Insights stated, "These developments put Graphcore'first in line to challenge NVIDIA for datacenter AI'." Developed using TSMC's latest 7nm process technology, each chip contains more than 59.4 billion transistors on a single 823sqmm die.

Residents of the largest retirement community in the US will soon have the option to have their drug prescriptions delivered to them partly by air. Starting this May, UPS and CVS plan to use autonomous drones to shuttle medicine to people in The Villages, Florida, giving them a high-tech way to practice social-distancing. As it has done in the past, UPS will use Matternet M2 quadcopters to deliver the prescriptions (pictured above). At first, the aircraft will drop off the orders at a pickup location, with a human driver on the ground moving them the rest of the way. One CVS pharmacy will take part in the program initially, though there's the potential for two more locations to join in the future.