Tag: Startup

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La startup de IA xAI de Elon Musk recauda 6.000 millones de dólares en una oferta para el OpenAI Challenge

Post author By miranda cosgrove
Post date May 28, 2024
No Comments on La startup de IA xAI de Elon Musk recauda 6.000 millones de dólares en una oferta para el OpenAI Challenge

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Elon Musk Startup de inteligencia artificial xAI Recaudó 6.000 millones de dólares (alrededor de 49.857 millones de rupias) para acelerar su desafío a sus antiguos aliados en AbiertoAI.

La ronda Serie B, anunciada en una publicación de blog el 26 de mayo, llega menos de un año después del debut de XAI y representa una de las mayores inversiones en el campo emergente del desarrollo de herramientas de IA. Musk fue uno de los primeros defensores de la IA y apoyó a OpenAI antes de su introducción. ChatGPT A finales de 2022.

Posteriormente retiró su apoyo al proyecto y pidió precaución debido a los riesgos potenciales de la tecnología. Estaba entre un gran grupo de líderes de la industria que instaron a una pausa en el desarrollo de la IA el año pasado.

Musk lanzó un competidor para ChatGPT de OpenAI en noviembre, llamado Entiende en detalle, que fue entrenado e integrado en X.com, la red social antes conocida como Twitter. Este fue, con diferencia, el producto más visible del trabajo de xAI, dirigido por ejecutivos con experiencia previa en DeepMind de Alphabet, Microsoft y Tesla.

La compañía dijo en su blog que tiene la intención de utilizar los fondos para llevar sus primeros productos al mercado, construir infraestructura avanzada y acelerar el desarrollo de tecnologías futuras.

Musk dijo en una publicación en X. que su valoración previa a la financiación era de 18.000 millones de dólares (alrededor de 1.49.571 millones de rupias). Nombres de capital riesgo como Sequoia Capital y Andreessen Horowitz han respaldado la recaudación de fondos, que es una de las mayores hasta la fecha en el mundo. industria.

Microsoft ha invertido alrededor de 13.000 millones de dólares (alrededor de 1.08.024 millones de rupias) en OpenAI, mientras que Amazon.com ha invertido alrededor de 4.000 millones de dólares (alrededor de 33.238 millones de rupias) en Anthropic.

Los enlaces de afiliados pueden generarse automáticamente; consulte nuestro sitio web Declaración de ética Para detalles.

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Tags challenge, dólares, Elon, millones, Musk, oferta, OpenAI, para, recauda, Startup, una, xAI

News

Humanity Protocol recauda 30 millones de dólares a medida que una startup de identidad digital basada en Blockchain alcanza el estatus de Unicornio

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Humanity Protocol, una solución de identidad descentralizada, ha recaudado 30 millones de dólares (alrededor de 250 millones de rupias) en una nueva ronda de financiación liderada por Kingsway Capital y la startup alcanzó el estatus de unicornio cuando su valoración cruzó la marca de los mil millones de dólares (alrededor de 8.350 millones de rupias). Más de otras 20 empresas de capital de riesgo participaron en la ronda de financiación inicial, incluidas Animoca Brands, Blockchain.com, Hashed y Shima Capital. La startup compite con Worldcoin, un servicio rival que ha enfrentado desafíos legales en varias regiones.

Las soluciones de identidad descentralizadas (DID) tienen como objetivo autenticar usuarios y entidades sin una autoridad central. Para registrar la singularidad de cada individuo, Humanity Protocol recopila escaneos de palmas de las personas. Estos escaneos se almacenan en un archivo. cadena de bloquesSe emite prueba de humanidad, que confirma que el dueño de esta identidad es un ser humano real y no un robot.

“La verificación es un concepto poderoso, pero las soluciones actuales no se están adoptando porque el proceso de incorporación es invasivo y de alta fricción”, escribió en un artículo Terrence Kwok, fundador de Humanity Protocol. Entrada en el blog. “El mundo necesita un marco de identidad verdaderamente soberano construido sobre los primeros principios de inclusión, privacidad y descentralización”.

El mecanismo de consenso de Prueba de Humanidad (PoH) del Humanity Protocol tiene como objetivo mitigar los riesgos de fraude de identidad y ataques Sybil. Esto aporta una capa de confianza y credibilidad a los individuos humanos dentro de las redes descentralizadas del mundo real.

Al explicar por qué la prueba de identidad es un concepto tan prometedor, la publicación de Kwok en Medium decía: “PoH permite a los usuarios realizar diversas transacciones, como confirmar su propiedad de activos del mundo real, acceder a servicios restringidos o demostrar su historial educativo y laboral sin tener que hacerlo. revelar su información personal a terceros.”

El proyecto blockchain ID también afirma que la implementación de PoH podría hacer que actividades como la distribución universal del ingreso básico sean más equitativas porque estas transacciones están vinculadas a humanos reales.

Sin embargo, recientemente, los controvertidos proyectos de identidad descentralizada han generado críticas y preocupaciones de varios gobiernos de todo el mundo.

Un proyecto similar es moneda mundial Fue fundado por el director ejecutivo de OpenAI, Sam Altman. Utilizando escaneos del iris de las personas, Altman planea crear una identificación global única de individuos, lo que eliminaría la necesidad de que proporcionen identificadores como nombres o ID de correo electrónico para interactuar con computadoras y dispositivos, al mismo tiempo que garantizaría que el titular de ese identificador sea verdaderamente humano. El proyecto ha sido visto como intrusivo y actualmente enfrenta obstáculos legales en países como Nairobi e Italia.

Los enlaces de afiliados pueden generarse automáticamente; consulte nuestro sitio web Declaración de ética Para detalles.

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Tags alcanza, basada, blockchain, Digital, dólares, estatus, humanity, identidad, medida, millones, Protocol, recauda, Startup, una, Unicornio

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Tech startup connects to two satellites in orbit from Earth via Bluetooth — using off the shelf chip and a software update

Post author By lisa nichols
Post date May 11, 2024
No Comments on Tech startup connects to two satellites in orbit from Earth via Bluetooth — using off the shelf chip and a software update

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Most of us use Bluetooth every day for tasks such as streaming audio, sharing files, connecting to devices, and making hands-free calls.

That’s because Bluetooth technology is typically designed for short-range communication between devices, and while the first generations had a very limited range of up to 30 feet, it can now achieve over 200 feet in real-world conditions.

Tech startup Hubble Network, which has secured a $20 million Series A funding round from the likes of Transpose Platform and Y Combinator, has managed to stretch that even further, making a Bluetooth connection from Earth to space.

Building a network of satellites

As the Hubble Network Blog explains, “On March 4, 2024, from the grounds of Vandenberg Space Force Base, Hubble successfully launched its first two satellites. These aren’t just any satellites; they’ve successfully reached their orbits and managed to receive signals [from Earth] from a simple 3.5mm Bluetooth chip over an astonishing distance of 600 km.” Yes, that’s not a typo. 600 kilometers, which is roughly the same distance from New York City to Boston, or London to Paris.

This development is significant because traditional networks often lag in delivering effective coverage in remote areas, consume too much power, and are prohibitively costly to operate at a global scale. Hubble’s approach directly tackles these problems by enabling standard Bluetooth devices to connect to their satellite network without cellular reception simply with a software update.

Hubble’s global satellite network, which any Bluetooth enabled device can connect to, reportedly delivers global coverage with 20 times less battery consumption and operating costs reduced by a factor of 50. The startup says it can be used for variety of tasks such as wildfire detection, pet, child and elderly safety, environmental monitoring, fleet management, and container and pallet tracking.

Ben Wild, co-founder and CTO of Hubble Network says, “Our innovative approach allows existing Bluetooth-enabled devices to be retrofitted to transmit data to the Hubble Network without any hardware modifications, ushering in a new era of connectivity.”

With nearly five billion Bluetooth devices sold annually, the impact of this breakthrough could be huge. Although the company only has two satellites in orbit at the moment, it plans to add two more by early next year, with 32 additional satellites to follow by Q1 2026.

French startup reveals quasi-immortal sensor that doesn’t need energy to work — SilMach’s ultra cheap microsensors can be used in a dizzying array of use cases

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France 2030 is a strategic €34 billion investment by the French government aiming to kickstart economic growth in the country.

As part of this initiative, the SIRCAPASS project (Surveillance of Road Infrastructures by Passive Sensors) has chosen French firm SilMach to provide ultra-cheap microsensors to monitor and ensure the structural health of bridges across the country.

The €1.7 million project is aimed at monitoring road infrastructures through passive sensors, specifically targeting impact detection, fatigue monitoring, exceptional overload, and crack identification – all tasks that previously were handled manually.

Operate effectively in harsh environments

Built around hybrid MEMS micromechanical sensor technology, these microsensors can record critical structural events without a power source, potentially identifying any hazards that might compromise a bridge’s structural integrity, and hopefully ensuring public safety.

“France 2030 marks a crucial step in SilMach’s development,” said Co-CEO Pierre-François Louvigné. “We are proud to lead this public-private consortium with key actors capable of providing a technological solution for the safety of the French and our economy.”

Fellow Co-CEO Jean-Baptiste Carnet added, “Everyone knows the human and economic cost of a bridge collapse. Our innovations are here to provide a new response to a major societal challenge.”

SilMach says its energy-free microsensor sensors operate effectively even in harsh environments including underwater and in space. With a communication module linked to an information system, the sensor can relay critical data and provide a mechanical memory ensuring access to raw data in a directly exploitable format.

‘The socket is becoming the motherboard’ — how a Samsung-backed startup wants to change computing forever by integrating everything in an elegant packaging to tackle the AI beast once and for all

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Many system designers are exploring chiplet-based SiPs that move beyond the limitations and costs of huge single-die implementations, but which depend heavily on silicon interposers as substrates for mounting and interconnecting the dies.

Silicon interposers deliver a higher data rate than organic substrates, but are not without drawbacks. They are costly, proprietary and limit the number of chiplets that can be placed on one substrate due to size restrictions, while increasing TCO.

Many CPUs are multi-die assemblies which make use of organic substrates (implemented using chiplet interconnect standards like UCIe and the Open Compute Project’s Bunch of Wires (BoW)), but they can’t compete performance-wise with silicon interposers.

Build a better ‘Blackwell’

Now, Eliyan has come up with what it believes is a viable solution that offers the performance advantages of silicon interposers but without their limitations. The solution to this dilemma, the firm says, is to look at the dies themselves – “at the tiny electronic circuits that drive the interconnect lines”. Most of today’s chiplet interconnect standards use a physical-layer (PHY) IP block, but Eliyan’s NuLink PHY reportedly reaches the same maximum performance levels on organic substrates that alternative PHYs can only achieve on silicon interposers.

The company says NuLink PHY, “enables systems with higher performance (more memory) and lower TCO (no interposer),” with results that deliver up to 4x the bandwidth, 4x the power efficiency, up to 4x the SiP size and up to 10x the AI performance.

Eliyan’s Co-founder and chief executive officer Ramin Farjadrad recently talked to The Next Platform about how NuLink PHY can be used to “build better, cheaper, and more powerful compute engines than can be done with current packaging techniques based on silicon interposers.”

The article, titled “How To Build A Better ‘Blackwell’ GPU Than Nvidia Did”, explains how its technology could be used to significantly improve on Nvidia’s superchip design.

It’s a fascinating read, and hints at what could be possible in the future. As The Next Platform’s Timothy Prickett Morgan sums up, “Any memory, any co-packaged optics, any PCI-Express or other controller, can be linked using NuLink to any XPU. At this point, the socket really has become the motherboard.”

There’s certainly a lot of interest in Eliyan’s NuLink PHY. The company recently closed a $60 Million Series B funding round, co-led by Samsung Catalyst Fund and Tiger Global Management. “This investment reflects the confidence in our approach to integrating multi-chip architectures that address the critical challenges of high costs, low yield, power consumption, manufacturing complexity, and size limitations,” Farjadrad said, following the funding announcement.

Another startup is taking on Nvidia using a clever trick — Celestial AI brings DDR5 and HBM together to slash power consumption by 90%, may already be partnering with AMD

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There’s no shortage of startups pushing technology that could one day prove pivotal in AI computing and memory infrastructure.

Celestial AI, which recently secured $175 million in Series C funding, is looking to commercialize its Photonic Fabric technology which aims to redefine optical interconnects.

Celestial AI’s foundational technology is designed to disaggregate AI compute from memory to offer a “transformative leap in AI system performance that is ten years more advanced than existing technologies.”

Lower energy overhead and latency

The company has reportedly been in talks with several hyperscale customers and a major processor manufacturer, about integrating its technology. Though specific details remain under wraps, that manufacturer is quite likely to be AMD since AMD Ventures is one of Photonic Fabric’s backers.

As reported by The Next Platform, the core of Celestial AI’s strategy lies in its chiplets, interposers, and optical interconnect technology. By combining DDR5 and HBM memory, the company aims to significantly reduce power consumption while maintaining high performance levels. The chiplets can be used for additional memory capacity or as interconnects between chips, offering speeds comparable to NVLink or Infinity Fabric.

“The surge in demand for our Photonic Fabric is the product of having the right technology, the right team and the right customer engagement model”, said Dave Lazovsky, Co-Founder and CEO of Celestial AI.

“We are experiencing broad customer adoption resulting from our full-stack technology offerings, providing electrical-optical-electrical links that deliver data at the bandwidth, latency, bit error rate (BER) and power required, compatible with the logical protocols of our customer’s AI accelerators and GPUs. Deep strategic collaborations with hyperscale data center customers focused on optimizing system-level Accelerated Computing architectures are a prerequisite for these solutions. We’re excited to be working with the giants of our industry to propel commercialization of the Photonic Fabric.”

While Celestial AI faces challenges in timing and competition from other startups in the silicon photonics space, the potential impact of its technology on the AI processing landscape makes it a promising contender. As the industry moves towards co-packaged optics and silicon photonic interposers, Celestial AI’s Photonic Fabric could play a key role in shaping the future of AI computing.

World’s first modular handheld inkjet printer claims revolutionary print-on-any-surface capabilities — Chinese startup makes big promises but watch out for the price of consumables

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If you ever wished you could print on anything, Printisian could be for you. The handheld inkjet printer lets users print on various materials and surfaces, including wood, paper, metals, fabric, leather, stone and even food and skin.

Its modular design allows for easy switching between different accessories, such as an edge positioner, laser aligner, and code scanner, to meet specific printing needs.

The printer has a 5-inch touchscreen, runs on SianOS (powered by Android), has 1GB of RAM and 8GB of storage, and a 300mAh replaceable battery.

Beware ink costs

The device can print text, pictures, date and time, and QR codes or barcodes at 35CM/s. To use it, connect it to your phone via Bluetooth, add a file, and slide the printer across the area you want to print on.

Printisian supports two sizes of ink cartridge and offers variable printing heights and a resolution of 600DPI. It can cover up to 39.3 inches per print, and you can expect “up to” 1,531 yards of print per cartridge.

As is the case with all printers, you need to factor in the cost of the ink. A small color cartridge for the device will currently set you back $59 (usual price is $79), while a large cartridge is $129 (usual price $169). The creators say you can use any compatible ink cartridge from other manufacturers – it’s designed to take standard size cartridges – although they (obviously) recommend their own cartridges as some inks may not print so well on certain surfaces.

As with any crowdsourced projects, you should be aware that backing a product doesn’t mean that it will be completed or that you will receive the item you backed. That said, at the time of writing $65,601 had been pledged, well above the $6,385 goal, so it’s looking positive.

You can pledge for a choice of available rewards, with the basic Printisian Standard coming in at $399, for which you get the printer itself and one small black ink cartridge (0.5 Inch). The price increases significantly if you want to back a version with the various accessories included, but extras can be purchased separately.

You can find out more and back Printisian here.

This startup wants to take on Nvidia with a server-on-a-chip to eliminate what it calls an already flawed system — faster GPU, CPU, LPU, TPU or NIC will not deliver the leap that many firms are aiming for

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According to Israeli startup NeuReality, many AI possibilities aren’t fully realized due to the cost and complexity of building and scaling AI systems.

Current solutions are not optimized for inference and rely on general-purpose CPUs, which were not designed for AI. Moreover, CPU-centric architectures necessitate multiple hardware components, resulting in underutilized Deep Learning Accelerators (DLAs) due to CPU bottlenecks.

NeuReality’s answer to this problem is the NR1AI Inference Solution, a combination of purpose-built software and a unique network addressable inference server-on-a-chip. NeuReality says this will deliver improved performance and scalability at a lower cost alongside reduced power consumption.

An express lane for large AI pipelines

“Our disruptive AI Inference technology is unbound by conventional CPUs, GPUs, and NICs,” said NeuReality’s CEO Moshe Tanach. “We didn’t try to just improve an already flawed system. Instead, we unpacked and redefined the ideal AI Inference system from top to bottom and end to end, to deliver breakthrough performance, cost savings, and energy efficiency.”

The key to NeuReality’s solution is a Network Addressable Processing Unit (NAPU), a new architecture design that leverages the power of DLAs. The NeuReality NR1, a network addressable inference Server-on-a-Chip, has an embedded Neural Network Engine and a NAPU.

This new architecture enables inference through hardware with AI-over-Fabric, an AI hypervisor, and AI-pipeline offload.

The company has two products that utilize its Server-on-a-Chip: the NR1-M AI Inference Module and the NR1-S AI Inference Appliance. The former is a Full-Height, Double-wide PCIe card that contains one NR1 NAPU system-on-a-chip and a network-addressable Inference Server that can connect to an external DLA. The latter is an AI-centric inference server containing NR1-M modules with the NR1 NAPU. NeuReality claims the server “lowers cost and power performance by up to 50X but doesn’t require IT to implement for end users.”

“Investing in more and more DLAs, GPUs, LPUs, TPUs… won’t address your core issue of system inefficiency,” said Tanach. “It’s akin to installing a faster engine in your car to navigate through traffic congestion and dead ends – it simply won’t get you to your destination any faster. NeuReality, on the other hand, provides an express lane for large AI pipelines, seamlessly routing tasks to purpose-built AI devices and swiftly delivering responses to your customers, while conserving both resources and capital.”

NeuReality recently secured $20 million in funding from the European Innovation Council (EIC) Fund, Varana Capital, Cleveland Avenue, XT Hi-Tech and OurCrowd.

Startup claims to boost LLM performance using standard memory instead of GPU HBM — but experts remain unconvinced by the numbers despite promising CXL technology

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MemVerge, a provider of software designed to accelerate and optimize data-intensive applications, has partnered with Micron to boost the performance of LLMs using Compute Express Link (CXL) technology.

The company’s Memory Machine software uses CXL to reduce idle time in GPUs caused by memory loading.

The technology was demonstrated at Micron’s booth at Nvidia GTC 2024 and Charles Fan, CEO and Co-founder of MemVerge said, “Scaling LLM performance cost-effectively means keeping the GPUs fed with data. Our demo at GTC demonstrates that pools of tiered memory not only drive performance higher but also maximize the utilization of precious GPU resources.”

Impressive results

The demo utilized a high-throughput FlexGen generation engine and an OPT-66B large language model. This was performed on a Supermicro Petascale Server, equipped with an AMD Genoa CPU, Nvidia A10 GPU, Micron DDR5-4800 DIMMs, CZ120 CXL memory modules, and MemVerge Memory Machine X intelligent tiering software.

The demo contrasted the performance of a job running on an A10 GPU with 24GB of GDDR6 memory, and data fed from 8x 32GB Micron DRAM, against the same job running on the Supermicro server fitted with Micron CZ120 CXL 24GB memory expander and the MemVerge software.

The FlexGen benchmark, using tiered memory, completed tasks in under half the time of traditional NVMe storage methods. Additionally, GPU utilization jumped from 51.8% to 91.8%, reportedly as a result of MemVerge Memory Machine X software’s transparent data tiering across GPU, CPU, and CXL memory.

Raj Narasimhan, senior vice president and general manager of Micron’s Compute and Networking Business Unit, said “Through our collaboration with MemVerge, Micron is able to demonstrate the substantial benefits of CXL memory modules to improve effective GPU throughput for AI applications resulting in faster time to insights for customers. Micron’s innovations across the memory portfolio provide compute with the necessary memory capacity and bandwidth to scale AI use cases from cloud to the edge.”

However, experts remain skeptical about the claims. Blocks and Files pointed out that the Nvidia A10 GPU uses GDDR6 memory, which is not HBM. A MemVerge spokesperson responded to this point, and others that the site raised, stating, “Our solution does have the same effect on the other GPUs with HBM. Between Flexgen’s memory offloading capabilities and Memory Machine X’s memory tiering capabilities, the solution is managing the entire memory hierarchy that includes GPU, CPU and CXL memory modules.”

MemVerge Memory Machine X results

(Image credit: MemVerge)

Moon mining startup Interlune wants to start digging for helium-3 by 2030

Post author By lisa nichols
Post date March 16, 2024
No Comments on Moon mining startup Interlune wants to start digging for helium-3 by 2030

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A budding startup called Interlune is trying to become the first private company to mine the moon’s natural resources and sell them back on Earth. Interlune will initially focus on helium-3 — a helium isotope created by the sun through the process of fusion — which is abundant on the moon. In an interview with Ars Technica, Rob Meyerson, one of Interlune’s founders and former Blue Origin president, said the company hopes to fly its harvester with one of the upcoming commercial moon missions backed by NASA. The plan is to have a pilot plant on the moon by 2028 and begin operations by 2030, Meyerson said.

Interlune announced this week that it’s raised $18 million in funding, including $15 million in its most recent round led by Seven Seven Six, the venture firm started by Reddit co-founder Alexis Ohanian. The resource it’s targeting, helium-3, could be used on Earth for applications like quantum computing, medical imaging and, perhaps some day down the line, as fuel for fusion reactors. Helium-3 is carried to the moon by solar winds and is thought to remain on the surface trapped in the soil, whereas when it reaches Earth, it’s blocked by the magnetosphere.

Interlune aims to excavate huge amounts of the lunar soil (or regolith), process it and extract the helium-3 gas, which it would then ship back to Earth. Alongside its proprietary lunar harvester, Interlune is planning a robotic lander mission to assess the concentration of helium-3 at the selected location on the surface.

A graphic showing how helium-3 is produced by the sun, travels to the moon and is deflected by Earth's magnetosphere — Interlune

“For the first time in history,” Meyerson said in a statement, “harvesting natural resources from the Moon is technologically and economically feasible.” The founding team includes Meyerson and former Blue Origin Chief Architect Gary Lai, Apollo 17 astronaut Harrison H. Schmitt, former Rocket Lab exec Indra Hornsby and James Antifaev, who worked for Alphabet’s high-altitude balloon project, Loon.

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Tags digging, helium3, Interlune, Mining, Moon, Start, Startup