Machine Learning Engineer New Grad - AI Processors, Machine Learning Engineering

Qualcomm buys RISC-V startup Akeana to push into AI and data-center chips. October 22, 2026 - By dealroom.co What's the deal? Qualcomm has acquired Akeana, a US semiconductor startup that designs processors using the open-source RISC-V architecture. Terms were undisclosed. The deal brings Akeana's technology and engineering team into Qualcomm to expand its push in AI and data centers. Who's Akeana? Founded in 2021 by engineers who previously built server processors at Marvell, the startup raised more than $100 million in August 2024 from investors including Kleiner Perkins, Mayfield, and Fidelity. Its RISC-V designs let companies customise processors for AI systems, computers, and data centers.

Discover the Qualcomm Academy new AI Associate Certification: Model to App at Maker Faire Rome! Arduino Team - October 21st, 2026 Want real-world experience developing AI models and deploying applications using cutting-edge technologies such as the Arduino(R) UNO(TM) Q board? Qualcomm Academy has a new second-level program for you! The AI Associate Certification: Model to App is a hands-on, online, and self-paced program designed to provide experience with the end-to-end ML workflow, including data preparation, model creation, optimization, deployment, and on-device inference. Through approximately five to six hours of build-along training, you'll enjoy a combination of technical depth and practical application, helping you develop the confidence to create accurate, efficient, and production-ready AI solutions at the edge. Three projects. One complete edge AI journey. To achieve their certification, participants use a learning-focused development kit based on UNO Q to complete three real-world projects that span voice, vision, and sensor-based AI: * Wake Word Detection: Create and optimize a voice-enabled application that recognizes predefined wake words. * Person Recognition: Build a computer vision application that processes image data and performs real-time inference on an edge device. * Gesture Recognition: Train a model using IMU sensor data to detect and classify movements in real time. Each project connects model architecture, training, validation, quantization, deployment, and application integration so learners can explore the ML lifecycle in practice. Build skills for real-world edge AI development. By completing the certification, you will gain hands-on experience with developing ML models, preparing data, quantizing and optimizing models to explore tradeoffs among accuracy, latency, power consumption, and performance, and visualizing model graphs. You will also gain experience with AI development toolchains, explore MCU and MPU capabilities, develop real-time applications, and work with FastRPC communication for AI workloads. The program is designed for developers and engineers, embedded systems professionals, IoT and robotics developers, students, and industry professionals interested in gaining practical experience with ML and edge AI. Learners should have basic Python skills, familiarity with an IDE, introductory knowledge of PyTorch and ML concepts, and prior hands-on experience equivalent to the Qualcomm Academy foundational AI certificate programs. Flexible learning, practical results. The AI Associate Certification: Model to App is available online and can be completed at each learner's own pace. You may purchase the program via Qualcomm Academy. After successfully completing the certification requirements, you will receive a Qualcomm Technologies certificate and badge that can be displayed on your CV and LinkedIn profile. Start building - from model to app! Take the next step in your AI development journey. Enroll in the AI Associate Certification: Model to App and gain hands-on experience applying ML concepts to applications running at the edge. Visiting Maker Faire Rome (October 23rd-25th)? Make sure to stop by the Arduino booth to talk to the team about how you can get your AI Associate Certification: Model to App. Qualcomm Academy is a program of Qualcomm Technologies, Inc. and/or its subsidiaries. Arduino and UNO are trademarks or registered trademarks of Arduino S.r.l.

Tokenized stock trading is growing overseas while major US companies resist it at home, according to Bitwise Asset Management's latest quarterly report. On Robinhood Chain, tokenized stock volume rose from $526 million in July to $2.21 billion in August, then to $11.31 billion in September. Tokenized equities were also the fastest-growing category on Solana. Goldman Sachs, Microsoft, Qualcomm, Caterpillar, McDonald's, Western Digital, and Alphabet have objected to tokenized versions of their shares trading on OKXICE, a venue launched by crypto exchange OKX and Intercontinental Exchange. Sixteen companies have now objected. The US Securities and Exchange Commission's innovation exemption lets companies opt out. OKXICE co-chairman Andrew Cuomo said many companies would "wait and see" before taking part.