Today's AI Innovations: Fraud Detection, Robotics, and Privacy

Mastercard's new AI model, NVIDIA robotics integration, Qualcomm's AI Hub, and more

June 08, 2024

Mastercard Launches Decision Intelligence Pro, New Generative AI Model for Fraud Detection

Summarized by: Rahul Patel []

Previous headlines:

Mastercard has introduced Decision Intelligence Pro, a generative AI model designed to enhance fraud detection across its banking network. This model employs “heat-sensing fraud patterns” and scores deviations from typical cardholder behavior. Utilizing a recurrent neural network and transformer models, it analyzes historical merchant visits to predict fraudulent transactions within 50 milliseconds. Ajay Bhalla, President of Mastercard’s Cyber and Intelligence Business Unit, claims this technology can boost fraud detection rates by an average of 20%, with some instances seeing improvements up to 300%. Mastercard has invested over $7 billion in cybersecurity and AI over the past five years, including the acquisition of Baffin Bay Networks. The technology aims to identify global fraudulent patterns, offering insights into emerging fraud types.

RGo Robotics advances new era of intelligent automation with NVIDIA Isaac integration

Summarized by: Rahul Patel []

RGo Robotics announced an integration with NVIDIA Isaac technologies at COMPUTEX 2024 in Taipei. This partnership aims to enhance AI-powered automation for autonomous mobile robots. RGo’s Perception Engine, which offers vision and AI capabilities for localization and obstacle detection, will now integrate NVIDIA Isaac Perceptor technologies, including the NVIDIA Nova Orin Developer Kit. The combined solution promises rapid deployment of intelligent mobile robots in various environments, leveraging NVIDIA’s Jetson Orin modules. This integration allows for advanced features like dynamic mapping and semantic understanding, enabling robots to operate reliably indoors and outdoors. The collaboration highlights the potential of generative AI in robotics, providing enhanced autonomy and human-robot interaction.

Generative AI to Protect Image Privacy

Summarized by: Rahul Patel []

A recent study revealed a critical eavesdropping vulnerability in high-frequency, high-speed wireless backhaul links, crucial for 5G networks. Another significant breakthrough involves AI in the largest-ever antibiotic discovery effort, targeting microbial dark matter. AI also shows promise in wildfire detection from space, with cube satellites enhancing response times by 500-fold. However, research indicates that AI systems like ChatGPT display irrationalities distinct from human reasoning, even when provided with additional context. Digital babies, created to simulate infant health, aim to improve understanding of critical early-life metabolic processes. Additionally, scientists are pushing the limits of information engines by exploring molecular motion to harness energy. Lastly, advancements include a new model for computers to understand human emotions, potentially revolutionizing human-computer interaction.

Chip Maker Qualcomm Unveils AI Hub – Announces Key Advancements

Summarized by: Maya Chen []

Qualcomm announced the Qualcomm AI Hub, a new initiative aimed at enhancing on-device AI performance, at the Mobile World Congress (MWC) in Barcelona. The Hub includes over 75 pre-optimized AI models such as Whisper, ControlNet, Stable Diffusion, and Baichuan 7B, which developers can integrate into their applications for faster inferencing times and improved efficiency. Qualcomm AI Research introduced several advancements, including the Large Language and Vision Assistant (LLaVA) and Low Rank Adaptation (LoRA) for custom image creation. The company also showcased AI-enabled devices across smartphones, PCs, automotive, consumer IoT, and connectivity, emphasizing privacy, reliability, personalization, and cost efficiency.

NVIDIA H200 Tensor Core GPUs and NVIDIA TensorRT-LLM Set MLPerf LLM Inference Records

Summarized by: Rahul Patel []

NVIDIA’s latest advancements in AI and hardware technologies encompass a range of updates and innovations. The company’s new releases include the NVIDIA NIM for deploying LoRA adapters, RAPIDS on Databricks for GPU-accelerated data processing, and TensorRT 10.0, which enhances usability, performance, and AI model support. Additionally, Databricks’ DBRX model showcases superior LLM performance. NVIDIA NeMo Parakeet-TDT improves ASR accuracy and speed, while the NeMo platform facilitates custom enterprise generative AI development. The H200 Tensor Core GPUs and TensorRT-LLM set new MLPerf LLM inference records. NVIDIA also introduces the Blackwell GPU architecture and benchmarks the Spectrum-X networking platform for AI. Upcoming events like NVIDIA GTC 2024 will feature developer sessions on these cutting-edge technologies.

Silicon Valley on Edge as New AI Bill Advances in California

Summarized by: Rahul Patel []

A new legislative proposal in California, SB 1047, aims to enforce safety standards on companies developing large AI models. Introduced by State Sen. Scott Wiener, the bill mandates measures to prevent AI systems from causing harm and requires companies to disclose compliance efforts to a new regulatory body, the Frontier Model Division. Supported by AI pioneers like Geoffrey Hinton and Yoshua Bengio, the bill has sparked significant debate. Proponents argue it ensures safer AI development, while critics fear it may stifle innovation and impose burdensome costs, particularly on smaller startups. As AI regulation gains momentum globally, SB 1047 could have far-reaching implications for the tech industry and broader economy.

IBM, with flagship Granite models, named a strong performer in The Forrester Wave™: AI Foundation Models for Language, Q2 2024

Summarized by: Rahul Patel []

IBM’s Granite family of AI models has been recognized as a strong performer in The Forrester Wave™: AI Foundation Models for Language, Q2 2024. The Granite models, based on a decoder-only transformer architecture, are trained on trusted data sources and are available on platforms like IBM watsonx, RedHat, and Hugging Face. IBM emphasizes trust, clarity, and performance in its AI models, focusing on enterprise needs and risk mitigation. Forrester praised Granite for its robust insights into training data, aiding in refining model behavior and protecting against unlicensed content risks. IBM’s strategy includes open innovation, strategic partnerships, and expanding model offerings to support diverse enterprise applications.

Other headlines:

Technical details

Created at: 08 June, 2024, 14:23:47, using gpt-4o.

Processing time: 0:02:24.950093, cost: 0.81$

The Staff

Editor: Sophia Williams

You are the Editor-in-Chief of a daily AI and Generative AI specifically magazine named "Tech by AI". You are a dynamic and creative editor with a passion for storytelling and a deep interest in the societal impacts of AI and generative AI. Your diverse background in journalism and technology equips you to tackle a wide range of topics, from ethical considerations to groundbreaking innovations. You have a keen eye for compelling narratives and are adept at engaging readers through various multimedia formats. Your editorial style is inclusive and forward-thinking, always seeking to highlight diverse perspectives and voices in the field.

Alexandra Rivera:

You are a reporter of a daily AI and Generative AI specifically magazine named "Tech by AI". You are a seasoned technology journalist with a knack for uncovering the human stories behind technological advancements. With over a decade of experience in the field, you have a deep understanding of AI and its societal impacts. Your background in sociology allows you to bring a unique perspective to your reporting, focusing on how AI and generative AI are transforming everyday lives. You are passionate about ethical considerations and are known for your in-depth investigative pieces that highlight the voices of those often overlooked in tech narratives.

Rahul Patel:

You are a reporter of a daily AI and Generative AI specifically magazine named "Tech by AI". You are a dynamic and forward-thinking reporter with a strong background in computer science and a passion for AI research. Having worked in both academia and industry, you have a deep technical understanding of AI and generative AI technologies. Your ability to break down complex concepts into engaging and accessible stories makes you a valuable asset to our team. You thrive on exploring the latest innovations and trends in the AI space, and your articles often provide readers with a glimpse into the future of technology.

Maya Chen:

You are a reporter of a daily AI and Generative AI specifically magazine named "Tech by AI". You are a creative storyteller with a background in digital media and a keen interest in the cultural impacts of AI. Your expertise lies in multimedia journalism, where you excel at combining text, video, and interactive content to create compelling narratives. You have a particular interest in how generative AI is influencing art, music, and entertainment. Your work often explores the intersection of technology and culture, and you are known for your ability to engage readers with thought-provoking and visually stunning pieces.