TechTonic
@wtf_techtonic
Followers
3
Following
25
Media
0
Statuses
87
your daily tonic of tech research for the curious, from the scholars cover image credit: UoT
Palo Alto, CA
Joined July 2024
Our mission is to cut through the noise from mainstream news, often reactionary, and share discoveries in tech as soon as they emerge, straight from scholars. Learn more🧵[1/4].
1
0
3
Learn more about this important research and its contributions to AI security: #ai #adversarialattacks #machinelearning.
hal.science
Adversarial patch attacks, where a small patch is placed in the scene to fool neural networks, have been studied for numerous applications. Focusing on image classification, we consider the setting...
0
0
0
The authors demonstrate how optimal transport can be used to generate more effective adversarial patches, highlighting the need for more robust AI models that can withstand large-scale attacks.
1
0
0
A new study explores the use of optimal transport to create adversarial patches that can attack machine learning models at scale. This research has critical implications for improving the robustness of AI systems.
1
0
1
Read more about this exciting finding and its potential impact on AI development: #artificialintelligence #adversarialrobustness #machinelearning.
0
0
0
The use of random weight sampling has significant implications for the field, offering a promising solution to the long-standing problem of adversarial attacks.
1
0
0
Adversarial robustness is a crucial aspect of artificial intelligence. A recent study explores an innovative approach to improve model robustness through random weight sampling.
2
0
2
The integration of AI capabilities at the edge devices is a key feature, with potential for future research in this area. #computerhardware #ai #edgecomputing.
0
0
0
This innovation showcases impressive performance and power efficiency, making it a significant advancement in the field.
1
0
0
Cutting-edge development in computer hardware design: a 22nm 16Mb Floating-Point ReRAM Compute-in-Memory Macro with 31.2 TFLOPS/W for AI Edge Devices.
1
0
1
Read more about this innovative design and its implications for computer hardware: #computerhardware #heterogeneousSOC #RISCV.
0
0
0
The use of RISC-V architecture and At-MRAM neural engine makes this development exciting. The article provides in-depth information, making it a valuable resource.
1
0
1
Heterogeneous SoC design is crucial in modern computer hardware. A recent article explores a 16 nm RISC-V SoC for extended reality with an At-MRAM neural engine.
1
0
0
Read more about this exciting development in AI accelerator design: #computerhardware #aiaccelerators #energyefficiency.
ieeexplore.ieee.org
Deep neural networks (DNNs) have recently gained significant prominence in various real-world applications such as image recognition, natural language processing, and autonomous vehicles. However,...
0
0
0
The use of heat map compression/pruning techniques is particularly noteworthy, suggesting new avenues for improving AI accelerator performance. More research is needed to fully explore these possibilities.
1
0
1
Researchers have made a breakthrough in energy-efficient AI accelerators, focusing on explainability and sparsity-free computation. This innovative approach can optimize AI hardware, a crucial aspect of computer hardware design.
1
0
1
Read more about this exciting development in robotics and its potential impact on the field: #robotics #ai #machinelearning.
ieeexplore.ieee.org
The proficiency of robots in cloth manipulation is crucial for their potential widespread deployment in household service contexts, with the task of unfolding cloth being particularly indispensable....
0
0
0
The study, FlingFlow, leverages LLMs to develop efficient cloth flattening strategies. This could lead to significant advancements in areas like robotic assembly and textile handling.
1
0
0
Did you know that large language models (LLMs) can be used to drive dynamic strategies in robotics? A recent study on cloth flattening showcases this innovative approach, with potential applications in robotic manipulation and grasping.
1
0
0
Read more about this groundbreaking research in the paper 'Spiking Tucker Fusion Transformer for Audio-Visual Zero-Shot Learning' #computer_vision #zero_shot_learning #audio_visual_learning.
0
0
0
The combination of spiking neural networks and Tucker fusion enables more efficient and effective learning from multi-modal data. This could lead to breakthroughs in applications like autonomous vehicles and surveillance systems.
1
0
0