Forget new TVs and smartphones. These are the real game changers introduced at CES 2020.
Now that the smoke is cleared from CES 2020, we can take a step back and see which technologies were the real innovations of 2020. Let’s be honest, CES can be a black hole of vaporware, false promises, and concepts intended to be just that.
We’ve compiled a list of our favorite technologies introduced at CES 2020 – innovations that we’re sure will be having a lasting impact in 2020 and beyond.
AerNos AerSIP Gas Sensor
The AerSIP from AerNos is a 5 x 5-mm, mulit-gas sensing module that combines nanotechnology and machine learning algorithms to monitor indoor and outdoor air quality. The system-in-package (SIP) is an embedded plug-and-play solution that can be integrated into wearables, mobile devices, and other IoT devices and is capable of detecting hazardous gases and other dangers at parts per billion levels.
(Image source: AerNos/CES)
AMD Ryzen 4000 Series Mobile Processor
AMD’s Ryzen 4000 could be a literal game changer for high-end laptops users – particularly gamers and designers. AMD says its new Ryzen 4000 series is the world’s first 7-nanometer laptop processor. Designed for ultra-thin laptops, the Ryzen 4000 series features up to 8 cores and 16 threads and configurable 15W thermal design power. AMD pledges the Ryzen 4000 series offers up to four percent greater single-thread performance and up to 90 percent faster multithreaded performance than its competitors, as well as up to 18 percent faster graphics performance over competing chips.
(Image source: AMD)
Atmosic Technologies M3 Battery-Free Bluetooth 5 SoC
Atmosic says its M3 Battery-Free Bluetooth 5 SoC uses so little power that it can even eliminate the need for battery power entirely in devices such as wearables, keyboards, mice, asset trackers, beacons, and remotes. The M3 integrates Atmosic’s Lowest Power Radio, On-demand Wake-Up, and Managed Energy Harvesting technologies to deliver what the company says is 10 to 100 times lower power than other SoCs, while still complying with Bluetooth standards. The M3’s radio uses two “ears” – one for listening in a low-power state to perceive incoming commands, and another that only wakes when alerted. The SoC uses energy harvesting technology to gather power from radio frequency, photovoltaic, thermal, and motion.
(Image source: Atmosic)
Bot3 Zen-P VSLAM Deep Learning Module
Bot3‘s Zen-P VSLAM Deep Learning module integrates visual simultaneous localization and mapping (VSLAM) technology (a version of the same technology used in autonomous vehicles) into mobile robots ranging from industrial machines to smart home products. Bot3’s image processing algorithm, Pascal, allows for autonomous navigation without tracks as well as indoor mapping and positioning. (for instances such as warehouse applications).
(Image source: Bot3)
BrainCo BrainRobotics Prosthetic Hand
Many companies have been developing mind-controlled prosthetics for amputees and other disabled patients. What separates the prosthetic hand developed by BrainRobotics is the integration of AI technology. The BrainRobotics hand utilizes machine learning to allow the hand and its user to learn from each other over time – leading to more lifelike movements. The company is aiming to provide accurate and reliable prosthetics and at affordable price for all patients. BrainRobotics is a subsidiary of BrainCo, a software developer focused on brainwave measuring and monitoring.
(Image source: BrainCo/BrainRobotics)
Fluent.ai MultiWake Word and Voice Control Engine
Fluent.ai is a technology company focused on AI for voice interface and speech recognition. The company’s Multi-Wake Word and Voice Control Engine is an edge-based, noise robust, and multilingual speech technology that consumes minimal power and storage, allowing it to be embedded in small devices. The solution is Cortex M4-based and supports four separate wake words and 100 multilingual commands, according to Fluent.ai.
Fluent.ai has recently partnered with semiconductor designer Ambiq Micro to implement Fluent.ai’s software solutions into Ambiq’s ultra-small footprint, low-power microcontrollers. Ambiq’s MCU supports frequencies up to 96 MHz, and Fluent.ai’s solution requires only 16 MHz from the MCU. The new partnership means Fluent.ai and Ambiq will be releasing MCUs for OEMs looking for an easy way to add speech recognition and voice command functionality to their smart home devices and other products.
(Image source: Fluent.ai / CES
Intel Tiger Lake Chip
When Intel announces a new chip, the whole world takes notice. The chipmaking giant is launching its latest chip for consumers this year. Dubbed Tiger Lake, the new chip is said to be optimized for AI performance, graphics, and USB 3 throughput. Rather than desktops, the new chips will be focused on mobile devices such as ultra-thin laptops and tablets. The first products featuring Tiger Lake are expected to ship later in 2020.
(Image source: Intel)
Monster MultiLink Bluetooth Technology
Sometimes its the most straightforward ideas that can make the biggest difference. Most of us love our Bluetooth wireless headphones and earbuds. The problem is they don’t create a sharable experience. What if you want to show your friend the video you’re watching without disturbing the people around you? Monster has debuted a new technology called Music Share that uses MultiLink technology to allow devices to send Bluetooth audio to multiple devices in sync. The technology expands how Bluetooth headphones can be used and opens up new use cases ranging from air travel to fitness classes as well as new avenues for social interaction.
(Image source: Bluetooth SIG)
Murata Coral Accelerator Module
Working in partnership with Coral and Google, Murata Electronics has developed what it is calling the world’s smallest AI module. The Coral Accelerator Module packages Google’s Edge TPU ASIC into a miniaturized footprint to enable developers to embed edge-based AI into their products and devices. The new module forms an integral part of Coral’s integrated AI platform, which also includes a toolkit of software tools and pre-compiled AI models.
(Image source: Murata Electronics Americas)
Pollen Robotics Reachy Open-Source Robot
Reachy is a robot developed by Pollen Robotics, in collaboration with the INCIA Neuroscience Institute in France, that is fully open source. The robot, which can be programmed using Python, is modular – employing a variety of 3D-printed grippers – and comes with prepackaged AI algorithms to allow developers to customize it for a variety of applications ranging from customer service and assisting the elderly or disabled.
Read more about Reachy, and the rise of open-source robotics, here.
(Image source: Pollen Robotics)
VRgineers 8K XTAL Headset
VRgineers, a maker of premium VR headsets for enterprise applications in industries ranging from automotive to defense and military, has released a major upgrade to its flagship XTAL headset. The latest version of XTAL features 8K resolution (4K per eye), improved lenses with a 180-degree field-of-view, and a new add-on module for augmented reality and mixed reality functionality. The headset also still includes eye tracking as well as integrated Leap Motion sensors to enable controller-free navigation and interactions.
(Image source: VRgineers)
zGlue is a software company that develops tools for chipmakers and designers. Its latest offering, ChipBuilder 3.0 is a design tool to for building custom silicon chips and accelerating time to market. The software suite features an expansive library of chipsets and allows engineers to capture schematics, route and verify designs, and download netlists. The tool allows engineers to create realistic 3D models and code their own chips and even place orders for physical chips via zGlue’s Shuttle Program.
(Image source: zGlue / CES)
Chris Wiltz is a Senior Editor at Design News covering emerging technologies including AI, VR/AR, blockchain, and robotics