Author page description
June 12
- System On Module For Edge AI
➀ SiMa.ai and Enclustra co-developed a System-on-Module (SoM) using MLSoC Modalix 50 TOPS chip for edge AI applications;
➁ The solution reduces development costs and time, supports Gen AI and multi-modal AI in robotics/drones with Python/PyTorch compatibility;
➂ Features 50 TOPS performance, multiple I/O options, compact form factor, and industrial-grade thermal management.
- AI Accelerator For Fast Wireless Signal Processing
➀ The error indicates a network connectivity failure between client and server, often due to TLS misconfiguration or server downtime;
➁ Possible causes include abrupt server termination, proxy timeout, or SSL handshake failure;
➂ Solutions involve checking server status, network policies, and TLS/SSL certificate validity.
June 11
- JOB: Senior Engineer I – Analog CAD At Alphawave Semi In Bengaluru
- JOB: Radio System Engineer At Siemens In Pune
- JOB: LV AC Control Project Engineer At General Electric In Noida And Pallavaram
- JOB: Engineer, Product Applications At Analog Devices In Bengaluru
- JOB: Project Engineer At Rockwell Automation In Pune
- Encoder For Big Shafts
➀ CUI Devices’ AMT25 series expands its encoder family, supporting motor shafts from 9 mm to 15.875 mm with capacitive ASIC technology;
➁ Offers 12-bit/14-bit resolution, single/multi-turn options, and SPI communication for precise motor control in harsh environments;
➂ Targets industrial automation, robotics, medical, and aerospace sectors to enhance system reliability and reduce contamination-related downtime.
June 10
- JOB: Embedded Hardware Engineer (3+ Years Experience) At Rapid Circuitry In Hyderabad
- JOB: PCB Design Engineer And Embedded Programmer At M/s. Viral Industries In Ahmedabad
- JOB: Services Specialist – Commissioning At General Electric In Pallavaram
- AI-Optimized CPUs For GPU Workloads
➀ Intel launched three new Xeon 6 CPUs optimized for AI systems and GPU-intensive workloads, featuring advanced Performance-cores (P-cores) and core management technologies like Priority Core Turbo (PCT) and Speed Select Technology.
➁ These CPUs support up to 128 P-cores, 30% faster memory speeds with MRDIMMs, enhanced PCIe lanes for data throughput, and Intel Advanced Matrix Extensions (AMX) for efficient AI computation.
➂ The processors power NVIDIA’s DGX B300 AI platform, offering enterprise-grade reliability and scalability for data centers and AI infrastructure modernization.
- JOB: Developer II At Johnson Controls In Pune
- JOB: Jr. Power Electronics Hardware Design Specialist At Newen Systems Pvt. Ltd. In Vadodara
- Powerful, Scalable Processors For Growing Business Needs
① AMD launched the EPYC 4005 Series processors to address the server needs of SMBs and IT service providers, offering enterprise-level performance with cost efficiency;
② Built on the AM5 socket, these processors support PCIe 5.0, DDR5, and outperform Intel’s 6th Gen Xeon 6300P by up to 1.83x in benchmarks;
③ Partners like Lenovo and Supermicro highlight their energy efficiency and scalability for modern IT infrastructure and AI readiness.
- AI Helps Autonomous Drones Stay On Path
➀ MIT researchers developed an AI-powered drone controller using neural networks and meta-learning for real-time adaptation to wind changes;
➁ The system learns from 15 minutes of flight data without requiring pre-defined wind models, selecting optimization strategies dynamically;
➂ In tests, it reduced tracking errors by 50% and shows potential for wildfire monitoring and payload-carrying applications.
June 9
- JOB: Power Electronics Engineer At General Electric In Bengaluru
- JOB: Field Service Engineer – IoT At DATOMS In Chandigarh
- JOB: Embedded Hardware Engineer At Jarsh Safety In Hyderabad
- JOB: R&D Engineer 2 At Keysight Technologies In Gurugram
- JOB: R&D System Engineer-eMobility – India Development Centre At Hitachi In Chennai
June 6
- JOB: Embedded C Developer At HARMAN In Pune
- JOB: RF Application Developer (T&M Signal Processing) At Rohde & Schwarz In Bengaluru
- JOB: Hardware Design Engineer – C&P At Quest Global In Bengaluru
- JOB: Electric Hardware PM Engineer At GKN In Bengaluru
- Reference Design For Intelligent Cooling Plate
➀ Microchip Technology's reference design proposes an intelligent cooling plate using a PIC16F17146 microcontroller and Peltier technology for precise thermal management in electronics;
➁ The design integrates Core Independent Peripherals (CIPs) to handle temperature monitoring, current sensing, and user interfaces, minimizing external components and cost;
➂ It features safety mechanisms like fault detection, fan monitoring, and EMI-friendly regulators, making it suitable for industrial, laboratory, and consumer applications.
- 12kW PSU Powers Efficient AI
➀ Navitas Semiconductor launched a 12kW power supply unit (PSU) optimized for AI-driven hyperscale data centers, compliant with Open Rack v3/OCP standards for 120 kW racks;
➁ The PSU integrates GaNSafe ICs and 3rd-gen SiC MOSFETs with digital control, achieving up to 30% lower power losses through CrCM/CCM mode switching;
➂ Features include a compact design (790mm length), 50V/12kW output, and safeguards like thermal protection, targeting AI infrastructure scalability and energy efficiency.
- Detecting Airborne Hazards With An Affordable Device
➀ Researchers developed an affordable ABLE device to detect airborne hazards by converting particles into liquid droplets for analysis;
➁ The $200 device uses silicon spikes to capture contaminants, enabling biomarker detection with low-cost tools like paper strips and optical sensors;
➂ Applied in healthcare (e.g., neonatal ICU monitoring) and environmental checks, with plans for miniaturization and real-time robotic integration.
- Robots Learn To Pack Smarter And Faster
➀ Researchers developed a TAMP-based algorithm (cuTAMP) that uses GPU-accelerated parallel computing to evaluate thousands of packing solutions simultaneously;
➁ This method reduces decision-making time to seconds, enabling efficient packing of varied objects in tight spaces without prior training;
➂ Demonstrated in real robots and simulations, the approach shows versatility for industrial tasks and potential integration with AI language models.