Collaborating Authors

New Developments in 3D object detection part1(Computer Vision)


Abstract: LiDAR-based 3D object detection and panoptic segmentation are two crucial tasks in the perception systems of autonomous vehicles and robots. In this paper, we propose All-in-One Perception Network (AOP-Net), a LiDAR-based multi-task framework that combines 3D object detection and panoptic segmentation. In this method, a dual-task 3D backbone is developed to extract both panoptic- and detection-level features from the input LiDAR point cloud. Also, a new 2D backbone that intertwines Multi-Layer Perceptron (MLP) and convolution layers is designed to further improve the detection task performance. Finally, a novel module is proposed to guide the detection head by recovering useful features discarded during down-sampling operations in the 3D backbone.

Council Post: How AI Is Cropping Up In The Agriculture Industry


Wendy Gonzalez is the CEO of Sama, the provider of accurate data for ambitious AI. The population has doubled since 1974, and today, there are 8 billion humans living on this planet. While population growth has slowed, at the current rate, we should reach 9 billion in 15 years. What does it take to feed all these people? When John McCarthy coined the term "artificial intelligence" in 1955 as "the science and engineering of making intelligent machines," could he have imagined technology's effect on our ever-growing food supply needs?

ChatGPT creator thinks AI should be regulated


ChatGPT is a popular artificial intelligence (AI) chatbot that can answer complex questions like a human might. Estimates say the chatbot got more than 100 million users in January, just two months after its launch. This makes ChatGPT the fastest-growing app in history, having easily surpassed TikTok and Instagram. But as ChatGPT grows in popularity and other tech companies begin making similar products, questions about the need to regulate these AI products will emerge. It so happens that one of the people who created ChatGPT believes that such conversations should already be happening, and they have to include governments.

Disrupting the real estate market using big data and Machine Learning


In the housing search space, all eyes are on the two Juggernauts: Zillow and-- And most of the discussion is about who has more listings, who has a better UI, etc…. However, there has not been a lot of talk about the innovations that will reshape the industry. Here are some thoughts I would like to share with you and which I would appreciate your thoughts. Personally, I see three potential directions that innovation in real estate tech could go.

Is a ChatGPT Killer Coming from Google? - True Interactive


It looks like the AI arms race is heating up. Google is expected to announce soon the launch of a competitor to ChatGPT, the generative AI tool that has shaken the technology and business world. ChatGPT is the product of OpenAI, the company that produced Dall-E, which uses AI to create images. ChatGPT is one of many chatbots designed to respond to queries from people by providing richer, more detailed, and more human-sounding answers than their predecessors. The incredibly slick bot uses AI to do everything from write copy to answer search queries to write code.

New Developments in research around Distributed, Parallel, and Cluster Computing part1


Abstract: This paper presents GraphAGILE, a domain-specific FPGA-based overlay accelerator for graph neural network (GNN) inference. GraphAGILE consists of (1) a novel unified architecture design with an instruction set, and (2) a compiler built upon the instruction set that can quickly generate optimized code. Due to the proposed instruction set architecture (ISA) and the compiler, GraphAGILE does not require any FPGA reconfiguration when performing inference on various GNN models and input graphs. For the architecture design, we propose a novel hardware module named Adaptive Computation Kernel (ACK), that can execute various computation kernels of GNNs, including general matrix multiplication (GEMM), sparse-dense matrix multiplication (SpDMM) and sampled dense-dense matrix multiplication (SDDMM). The compiler takes the specifications of a GNN model and the graph meta data (e.g., the number of vertices and edges) as input, and generates a sequence of instructions for inference execution. We develop the following compiler optimizations to reduce inference latency: (1) computation order optimization that automatically reorders the computation graph to reduce the total computation complexity, (2) layer fusion that merges adjacent layers to reduce data communication volume, (3) data partitioning with a partition-centric execution scheme that partitions the input graph to fit the available on-chip memory of FPGA, (4) kernel mapping that automatically selects execution mode for ACK, and performs task scheduling to overlap computation with data communication and achieves dynamic load balance.

Trendwatching Briefing On AI - FoundersList


Get firsthand insights from disruptive innovators & get on top of the latest trends of new technologies impacting your business today! At this ONLINE event you will meet 5 disruptive startups building their solutions using generative AI technology, hear their product presentations & participate in a discussion about the future of AI technology & its applications for your industry. Each week we have new startups presenting. Stay tuned to attend this unique event! You will get a chance to participate in a discussion & ask your questions.

SAP.iO Demo Day - FoundersList


You're Invited to virtual Demo Day for SAP.iO (SAP's corporate venture arm) & SAP SuccessFactors Future of Work Fall 2022 joint Web3 startup program! 5 exciting HR startups pitching their emerging technologies in blockchain, token economy (NFTs), artificial intelligence (AI) & augmented/virtual Reality (AR/VR/metaverse) were curated & mentored by SAP executives, Fortune 500s, Blockchain & HR experts (including from BASF) & VCs based on their significance on areas such as L&D, Digital Identity & Employee Experiences.

How AI is Impacting the Recruitment Industry - IntelligentHQ


Because artificial intelligence (AI) has a wide range of uses in businesses, from streamlining job processes all the way to aggregating business data, more industry leaders are now using AI to improve company performance. A recent global survey on AI adoption and value revealed that AI adoption in at least one business function had increased to 56%, up from 50% in 2020. More importantly, the survey indicated that AI brought about positive economic returns. Companies involved in the study reported that earnings attributable to AI have increased to 27%, up from 22% in the previous survey. Lastly, the article shared that companies experienced significantly higher cost savings from AI than they did previously in every function.

Robotic hand pokes food and water to tell if they have mercury in them

New Scientist

A robotic hand equipped with a tiny sensor can detect harmful mercury ions in water or food by poking it. The World Health Organization considers mercury a chemical of major public concern because it can cause health issues if consumed via contaminated water or animals that have been exposed to it. Methods for detecting mercury in food and the environment exist, but most involve complicated and costly laboratory equipment and sometimes long processing times. So Snigdha Roy Barman at the National Tsing Hua University in Taiwan and her colleagues decided to develop a quicker and simpler approach.