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The DeepSeek-V3-0324, named after its predecessor and the launch date, has “enhanced reasoning capabilities, optimised front-end web development and upgraded Chinese writing proficiency”, according to a notice on the company’s website.
The new version and DeepSeek V3 are both foundation models trained on vast data sets that can be applied in different use cases, including that of a chatbot. DeepSeek R1, the reasoning model, is based on DeepSeek V3.
The updated foundation model has made improvements in several benchmarks, especially the American Invitational Mathematics Examination (AIME), where it scored 59.4 compared with 39.6 for its predecessor, while achieving an increase of 10 points on LiveCodeBench to achieve 49.2, DeepSeek data showed.
Korean researchers have developed a digital holography processor that converts two-dimensional (2D) videos into real-time three-dimensional (3D) holograms. This technology is expected to play a key role in the future of holography, as it enables the instantaneous transformation of ordinary 2D videos into 3D holograms.
The Electronics and Telecommunications Research Institute (ETRI) has announced the development of a programmable semiconductor-based digital holographic media processor (RHP) using Field Programmable Gate Array (FPGA) technology. This processor can convert 2D video into 3D holograms in real-time.
The real-time holography processor is the world’s first to utilize high-bandwidth memory (HBM) to generate real-time, full-color 3D holograms from 2D video. Notably, all the hardware required for hologram generation is integrated into a single system-on-chip (SoC).
In 1971, American electrical engineer and computer scientist Leon Chua reasoned that there must exist a fourth fundamental element of computing. There’s the resistor, capacitor, and inductor, but Chua believed there also existed a “memristor”— a portmanteau of “memory” and “resistor” that described a simple, non-volatile memory component that could store information even when turned off.
This sounds like a simple function, but it provides the technological foundation of neuromorphic (a.k.a. brain-like) computing—an effective memristor would essentially act as an artificial synapse in an AI neural net, as it can achieve both data storage and computation at the same time (which is something our brain does). Since researchers “discovered” memristors back in 2008, scientists and engineers around the world have been slowly improving their capabilities in the hopes of bringing about computers that are as efficient and powerful as human brains.
Forget WW3! A global power outage would spell THE END for humanity in a matter of minutes! Find out how bad things would really get in today’s insane new video that reveals what would happen minute by minute if all the power went out across Earth!
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Agibot plans to produce 5,000 humanoid robots in 2025, aiming to match Tesla’s Optimus output and expand in industrial automation.
Dr. Laura Aguilar, MD, Ph.D. is Chief Medical Officer at Diakonos Oncology ( https://www.diakonosoncology.com/ ), a clinical stage immuno-oncology company de…
WASHINGTON — Maxar Intelligence developed a visual-based navigation technology that enables aerial drones to operate without relying on GPS, the company announced March 25.
The software, called Raptor, provides a terrain-based positioning system for drones in GPS-denied environments by leveraging detailed 3D models created from Maxar’s satellite imagery. Instead of using satellite signals, a drone equipped with Raptor compares its real-time camera feed with a pre-existing 3D terrain model to determine its position and orientation.
Peter Wilczynski, chief product officer at Maxar Intelligence, explained that the Raptor software has three main components. One is installed directly on the drone, enabling real-time position determination. Another application georegisters the drone’s video feed with Maxar’s 3D terrain data. A separate laptop-based application works alongside drone controllers, allowing operators to extract precise ground coordinates from aerial video feeds.
Space Day Texas will be held on March 25 at the Texas Capitol, featuring exhibits from NASA and various aerospace companies. The event will include live space suit demos, a proclamation celebrating…
Electric vehicles (EVs) are transforming transportation, but challenges such as cost, longevity, and range remain barriers to widespread adoption. At the heart of these challenges lies battery technology—specifically, the electrolyte, a critical component that enables energy storage and delivery. The electrolyte’s properties directly impact a battery’s charging speed, power output, stability, and safety.
To overcome these hurdles, researchers are turning to AI-driven approaches to accelerate the discovery of novel battery materials.
SES AI, a leader in battery innovation, is leveraging the cutting-edge NVIDIA hardware and software ecosystem to revolutionize materials discovery. By combining domain-adapted LLMs with an AI model and GPU-accelerated simulations in a single workflow, SES AI compresses decades of research into months and unlocks groundbreaking advancements in EV battery performance.