mmWave E-band fronthaul (also known as “fibre-in-the-air”) will enable high-throughput (100 Gbps), low-latency (<10 us) & high-density (1 M/km2) street level connectivity. The key enabler of fronthaul is link densification, first through last-mile link deployment followed by aggressive small-cell densification (every 300 m).

Existing E-band front-ends meet backhaul requirements, but are too expensive ($1k+), too big (10 x 10 cm) & power hungry (5 W) for fronthaul deployment.

mmTron has the most linear and efficient power amplifiers in millimeter wave (mmwave) for 5G, SATCOM and Aerospace and Defense markets. mmTron’s mmwave GaN, GaAs, SiGe, InP, and RFSOI products are highly differentiated in the marketplace and address the insatiable appetite for bandwidth in 5G, SATCOM, military, aerospace, satellite and the commercial communication markets.

The quality and dependability of AI analytics are proportional to the size of the Neural Networks used for any given task, and the number and complexity of the application where AI capabilities are required are only growing. At the moment the Cloud is the only platform that can deliver the kind of computational power required by the market. A new Edge platform is eagerly looked for, that can support the AI quality requirement and solve the Cloud problems in latency, security, privacy, infrastructure dependability and costs.

We are experiencing a massive shift in how we write software, from human-driven to data-driven. Data-driven software, or software 2.0, will allow us to properly realize the true benefits of intelligent robots through the adoption of deep learning, reinforcement learning and continual learning. However, to fully realize these benefits in robotics we need a ground up reimagining of computer hardware and systems to make them data & AI centric, and deliver supercomputer level performance in the power envelope of the edge.

Lelantos develops the next generation of miniaturized gas sensors for high-value IoT monitoring applications targeted to the detection of hazardous leaks, indoor air quality as well as medical diagnosis.

Current gas sensors rely on optical and resistive technologies. Even though these technologies are established, they suffer from inherent weaknesses such as the need for heating as well as complex optical components and power supplies leading to large size, weight, power, and cost (SWaPC). As such they prohibit the effective monitoring in IoT oriented use cases that require large scale, pervasive sensing to be provided by autonomous, portable, battery operated sensors with wireless connectivity. In particular, there is a tradeoff between device performance and SWaPC, namely sensors that exhibit high detection performance suffer from high SWaPC prohibiting their effective use in IoT applications. On the other hand, solutions that are cheaper and more compact do not possess the required accuracy necessary for high performance applications. The sensor industry is at a tipping point, from expensive, bulky, high power instruments to cheap, small and low power components.

We are a team of semiconductor and optics veterans, successful serial entrepreneurs, prolific inventors and visionaries and product designers who are building the platform that will make augmented reality possible. Headquartered in Silicon Valley, Kura’s founding team includes UC Berkeley, MIT, USC, CMU, and UIUC alumnus and AR, optical, and semiconductor industry veterans with hundreds of inventions, billion-dollar exists, and tens of millions of shipped products to both enterprise and consumer markets.

There are many objects in the world that need to be imaged in the dark, at the microscale, with micro and nanoscale resolution – Geegah has created a solution for micro imaging using GHz ultrasonic waves – enabling small formfactor lens-less imaging. The world also needs integration of timing clocks on CMOS itself, enabling very tiny IoT devices – Geegah has created a clock using ultrasonic waves in CMOS. The world also needs an ultrafast way to reduce size of images for faster processing – Geegah has created a pathway for ultrasonic wave based image acquisition and compression.

Espre Technologies will offer chipsets, modules, and sensor products complementary to both military BoT (Battlefield of Things) and commercial IIoT (Industrial Internet of Things) applications.

Ruggedized NVL-Gateway Wi-Fi (FPGA Chipset) asset/vehicle mount, base station, LTE module, TCP/IP, UWB, regional communications coverage – Available 3rd Quarter 2022

NVL-AP 200 (FPGA Chipset) small form factor, light weight, wearable, asset/vehicle mount, close quarters communications.

NVL-Sensor 100 (ASIC Sensor Module) small form factor sensor applications from wearables to Plug & Play applications within existing backhaul networks. – Available late 1st or early 2nd Quarter 2023

Beam has developed millimetre wave (mmW) RF silicon and phased array antenna technology to address demanding 5G wireless infrastructure applications such as cellular backhaul, fiber extension and broadband / fixed wireless access (FWA) last mile and automotive V2X (vehicle-to-infrastructure).

Aplife specializes in bioelectronics and is developing a technology that will radically transform the field of portable health diagnostic devices. At its core, it is based on the digital detection of millions of biochemical interactions on a semiconductor, enabling novel digital diagnostic devices closer to patients.

Electrochemical biosensors enable cheaper, more portable digital diagnostic devices. The sensors Aplife is developing depend on the capacity of a receptor molecule to specifically bind to a target of interest, such as an indicator of pathologies, and convert it into an electrical signal. Even though there is growing demand for miniature, portable and digital biosensors, the commercialization of biosensor technology has been lagging. While the pharma sector has well-established drug discovery programs to fill their pipelines, a more general technology also available to biosensor manufacturers doesn’t exist.

AlphaICs, a fabless semiconductor company, designs and develops the best-in-class Artificial Intelligence (AI) Co-processors for delivering high-performance AI compute on edge devices. AlphaICs edge solutions include inference with learning.

AlphaICs’ first product, an 8 TOPs AI accelerator is being sampled to customers for evaluation. We are also working on the next-gen arch for 5G, Edge Server, and automotive markets