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Arm Delivers New Edge Processor IPs for IoT

Today, Arm announced significant additions to its artificial intelligence (AI) platform, including new machine learning (ML) IP, the Arm Cortex -M55 processor and Arm Ethos -U55 NPU, the industry's first microNPU (Neural Processing Unit) for Cortex-M, designed to deliver a combined 480x leap in ML performance to microcontrollers. The new IP and supporting unified toolchain enable AI hardware and software developers with more ways to innovate as a result of unprecedented levels of on-device ML processing for billions of small, power-constrained IoT and embedded devices.

Rambus Achieves Industry-Leading GDDR6 Performance at 18 Gbps

Rambus Inc., a premier silicon IP and chip provider making data faster and safer, today announced it has achieved industry-leading 18 Gbps performance with the Rambus GDDR6 Memory PHY. Running at the industry's fastest data rate of 18 Gbps, the Rambus GDDR6 PHY IP delivers peak performance four-to-five times faster than current DDR4 solutions and continues the company's longstanding tradition of developing leading-edge products. The Rambus GDDR6 PHY pairs with the companion GDDR6 memory controller from the recent acquisition of Northwest Logic to provide a complete and optimized memory subsystem solution.

Increased data usage in applications such as AI, ML, data center, networking and automotive systems is driving a need for higher bandwidth memory. The coming introduction of high-bandwidth 5G networks will exacerbate this challenge. Working closely with our memory partners, the Rambus GDDR6 solution gives system designers more options in selecting the memory system that meets both their bandwidth and cost requirements.

India First Country to Deploy AI Machine Learning to Fight Income Tax Evasion

India is building a large AI machine learning data-center that can crunch through trillions of financial transactions per hour to process income tax returns of India's billion-strong income tax assessee base. India's Income Tax Department has relied on human tax assessment officers that are randomly selected by a computer to assess tax returned filed by individuals, in an increasingly inefficient system that's prone to both evasion and corruption. India has already been using machine learning since 2017 to fish out cases of tax-evasion for further human scrutiny. The AI now replaces human assessment officers, relegating them up an escalation matrix.

The AI/ML assessment system is a logical next step to two big policy decisions the Indian government has taken in recent years: one of 100% data-localization by foreign entities conducting commerce in India; and getting India's vast population to use electronic payment instruments, away from paper-money, by de-monetizing high-value currency, and replacing it with a scarce supply of newer bank-notes that effectively force people to use electronic instruments. Contributing to these efforts are some of the lowest 4G mobile data prices in the world (as low as $1.50 for 40 GB of 4G LTE data), and low-cost smartphone handsets. It's also free to open a basic bank account with no minimum balance requirements.

Google Cloud Introduces NVIDIA Tesla P4 GPUs, for $430 per Month

Today, we are excited to announce a new addition to the Google Cloud Platform (GCP) GPU family that's optimized for graphics-intensive applications and machine learning inference: the NVIDIA Tesla P4 GPU.

We've come a long way since we introduced our first-generation compute accelerator, the K80 GPU, adding along the way P100 and V100 GPUs that are optimized for machine learning and HPC workloads. The new P4 accelerators, now in beta, provide a good balance of price/performance for remote display applications and real-time machine learning inference.

ARM Reveals Its Plan for World Domination: Announces DynamIQ Technology

ARM processors have been making forays into hitherto shallow markets, with it's technology and processor architectures winning an ever increasing amount of design wins. Most recently, Microsoft itself announced a platform meant to use ARM processors in a server environment. Now, ARM has put forward its plans towards achieving a grand total of 100 billion chips shipped in the 2017-2021 time frame.

To put that goal in perspective, ARM is looking to ship as many ARM-powered processors in this 2017-2021 time frame as it did between 1991 and 2017. This is no easy task - at least if ARM were to stay in its known markets, where it has already achieved almost total saturation. The plan: to widen the appeal of its processor design, with big bets in the AI, Automotive, XR (which encompasses the Virtual Reality, Augmented Reality, and Mixed Reality markets), leveraged by what ARM does best: hyper-efficient processors.
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