In Iceland, scientists are planning to drill two boreholes to a reservoir of liquid rock. One will give us our first direct measurements of magma – the other could supercharge geothermal power.
If you think you know how an astronomical nova works, buckle up. You’re in for a ride like you never expected.
Edwin Ostrin, M.D., Ph.D., discusses the ongoing research into whether vaping is linked to lung cancer and other lung health issues.
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And as someone who’s spent the past year experimenting with generative A.I., I’ve thought a lot about the connection between interacting with one and with the other.
Generative A.I. is often described as being in its infancy. The truth is a little more of a handful.
Generative AI is also expected to play a significant role in 6G mobile technology. This year, work to set and agree on 6G standards will continue with the anticipation that the first standards could be introduced between 2027 and 2028, and the technology could reach commercialisation by 2030. Generative AI can be applied to various aspects of 6G, such as network resource management, spectrum allocation and network topology optimisation.
It is also capable of meeting the demands of “connective intelligence” for new technologies. Connective intelligence is a key force driving the development of the 6G network, enabling real-time, reliable and ubiquitous interaction and communication between humans, the physical world and the digital world. This results in the creation of a decentralised and continually evolving intelligence, making it easier for users to share their discoveries and experiences with each other.
In summary, by the end of 2024, generative AI will become an invaluable assistant, providing support and help across different industries. Its powerful analysis and predictive capabilities will enable people to handle complex tasks and problems more efficiently, offering real-time solutions and recommendations.
Verge Motorcycles’ 360-degree sensors could make the wild TS Ultra safer than anything else on two wheels.
Modern cars are riddled with sensors looking in every direction, most taxed with one simple duty: keep you safe.
All those cameras aren’t cheap.
Continue reading “The hubless electric motorcycle with sci-fi style and a great name” »
Almost exactly one year ago at CES 2023, Qualcomm announced its Snapdragon Ride Flex system-on-chip (SoC) product family. As an expansion of the company’s Snapdragon Digital Chassis product portfolio, the new SoC family is meant to support advanced driver assistance systems (ADAS) as well as digital cockpit and infotainment applications spanning from entry level to premium vehicles. At the time, Qualcomm announced that the Ride Flex SoC was sampling with an expected start of production in early 2024. It’s now early 2024 and CES is about to kick off again. Tirias Research is expecting to hear an update on the product family next week. We anticipate the update will include, at the very least, some of the partners who will be bringing the Ride Flex SoCs to market in production volumes this year and into 2025. Given Qualcomm’s track record for hitting their estimated timelines, we felt that a re-cap of the product family is warranted leading up to next week’s anticipated update.
“Flex-ing” Resources to Support Mixed Criticality and Multiple Tiers
The Snapdragon Ride Flex is actually two monolithically integrated 4nm SoCs – a primary SoC and what Qualcomm are calling a Safety Island SoC. The primary SoC consists of a Kryo Gen 6 Arm v8.2 central processing unit (CPU) with integrated L3 cache, an Adreno 663 graphics processing unit (GPU), a Hexagon neural processing unit (NPU), a Spectra 690 image signal processing (ISP), two Adreno display processing units (DPUs) for multiple high-resolution display support and associated memory and I/O interconnects. This part of the SoC is Automotive Safety Integrity Level (ASIL) B certified. The Safety Island SoC, which is ASIL-D certified, consists of a multi-core real-time CPU with enhanced error managements support and isolated memory and peripherals. ASIL is a risk classification methodology established under ISO 26,262 from the International Organization for Standardization which defines functional safety for road vehicles.
The technique could lead to the creation of thinner and scalable electronic devices with enhanced performance and functionality.
A new study has revealed a surprising source of bird mortality due to the increasing use of wind and solar energy facilities.
