Joby Aviation's hydrogen eVTOL

Joby Aviation is betting on hydrogen-electric aircraft for regional flight

Joby Aviation's hydrogen eVTOL

Image Credits: Joby Aviation

Joby Aviation is still a year away from commercially launching its electric air taxi designed for urban environments, but the startup is already looking toward its next chapter: intercity flight, powered by hydrogen. 

To get the conversation started with regulators and demonstrate hydrogen’s capabilities, Joby told TechCrunch that it completed a 523-mile test flight with a hydrogen-electric prototype aircraft — one of its eVTOLs (electric vertical takeoff and landing vehicle) that the startup fitted with a liquid hydrogen fuel cell and hydrogen-electric propulsion system. 

Today, Joby Aviation’s eVTOLs are being built to transport people and goods short distances within cities or from cities to airports. Powered by batteries, the aircraft have 100 miles of range. Hydrogen acts as a range-extender, opening the door to a regional use case, according to Joby. 

“This is a landmark moment for aviation,” JoeBen Bevirt, CEO of Joby, told TechCrunch. “If you want to travel long distances, or you want to stay in the air for long periods of time, hydrogen-electric is a game changer.”

The use of hydrogen to power vehicles has been hotly contested for years. Hydrogen is technically a zero emissions fuel source because it only emits water when in use. But it’s expensive and energy intensive to produce, and most of today’s stock is made using fossil fuels. Green hydrogen, which is produced via renewable energy sources, has yet to scale significantly.

However, recent private and public investment into green hydrogen, including an $8 billion hydrogen hub program within Biden’s Inflation Reduction Act, is giving the sector new life. And Bevirt says “aviation has the potential to be a massive consumer of green hydrogen.”

“The amazing thing about hydrogen is it’s three times lighter than jet fuel per unit of energy. It’s 100 times lighter than today’s batteries per unit of energy,” Bevirt said. “And with hydrogen fuel cells…we’re able to convert the chemical energy in hydrogen into propulsion twice as efficiently.”

Joby has been quietly setting the stage to implement hydrogen into its eVTOLs. In 2021, Joby acquired H2Fly, a German hydrogen aviation startup. Last year, H2Fly demonstrated its own piloted flight with a liquid hydrogen-powered aircraft, and now, Joby has used that same technology to power a hydrogen version of its eVTOL. Bevirt told TechCrunch that the fuel cell system that H2Fly designed and built was able to power the six electric motors on the Joby aircraft and recharge its batteries in flight. 

Joby is still very much in the demonstration phase, but when the startup is ready to start testing regional flights, it’ll be able to integrate hydrogen-powered eVTOLs into its current system with minimal financial outlay, according to Bevirt. 

“We take this battery electric aircraft we’ve built, and we take 90% of the systems and components that are in it, and we augment it with a hydrogen-electric range extender,” said Bevirt. “And now, with a very small incremental investment, we can use the same vertiports, the same pilots and mechanics and the Elevate operating system, which does all the back-end logic.”

ElevateOS, which is core to Joby’s planned air taxi service, is a nod to Uber’s Elevate air taxi business, which the ride-hail giant sold to Joby in 2020. That sale included a set of software tools that enable on-demand mobility not unlike hailing an Uber ride. And in fact, Joby’s app will be integrated with Uber and Delta Airlines, the startup’s launch partner. 

“So whether you pick up the Joby app or the Uber app, all of a sudden, it gives you the opportunity to not just go across town, but you can go anywhere in a region,” said Bevirt.  

Some investors aren’t so convinced. 

Cyrus Sigari, co-founder and managing partner of VC Up.Partners, said that while he’d love to see a hydrogen-powered eVTOL come to life, investors “would need to see a very compelling technical and business case to pursue investment in the category.”

One of the biggest challenges, he said, lies with the infrastructure. 

“The industry is already scratching its head figuring out how to support battery electric aircraft with charging infrastructure at airports,” Sigari told TechCrunch. “Adding hydrogen filling stations into that equation will present even more challenges.”

He noted the recent shutdown of Universal Hydrogen, one of the more prominent players in the hydrogen space for powering traditional airlines, has brought to light just how hard all of this is. 

When asked about the hydrogen filling stations, Bevirt wasn’t fazed. 

“We don’t expect that to be a significant impediment to the rollout,” Bevirt told TechCrunch. “We are in conversations with lots of airports across the country and around the world that are putting in liquid hydrogen refueling infrastructure.”

And even as Universal Hydrogen had to shutter because it was unable to raise enough funds to continue, ZeroAvia signed a large deal with American Airlines, which committed to the purchase of 100 hydrogen-powered engines. 

Joby didn’t provide a timeline for when it plans to launch hydrogen-powered eVTOLs, but the goal with its demonstration flight is to open the floor to discussion with green hydrogen producers and regulators. 

“This is an important moment where we can begin the dialogue with regulators, both here in the U.S. and around the world, to say the technology is here, the technology is ready and it’s time to put the pieces in place to certify this,” said Bevirt. 

Why this AI startup is betting on voice-enabled bots to scale AI adoption in India

Image Credits: Sarvam AI

If your target market has 22 official languages and its people speak in over 19,000 dialects, does it make sense to offer a text-only AI chatbot that can function best in a couple languages?

That’s the question Indian AI startup Sarvam has been working to solve, and on Tuesday it launched a series of offerings, including a voice-enabled AI bot that supports more than 10 Indian languages, betting that people in the country would prefer to talk to an AI model in their own language rather than chat with it over text. The startup is also launching a small language model, an AI tool for lawyers, as well as an audio-language model.

“People prefer to speak in their own language. It’s extremely challenging to type in Indian languages today,” Vivek Raghavan, co-founder of Sarvam AI, told TechCrunch.

The Bengaluru-based startup, which primarily targets businesses and enterprises, is pitching its AI voice-enabled bots for a number of industries, particularly those relying on customer support. As an example, it pointed to one of its customers: Sri Mandir, a startup that offers religious content, has been using Sarvam’s AI agent to accept payments and has processed more than 270,000 transactions so far.

The company said its AI voice agents can be deployed on WhatsApp, within an app, and can even work with traditional voice calls.

Backed by Peak XV and Lightspeed, Sarvam plans to price its AI agents starting at ₹1 (approximately 1 cent) per minute of usage.

Image Credits: Sarvam

The startup is building its voice-enabled AI agents on top of a foundational, small language model, called Sarvam 2B, that’s trained on a dataset of 4 trillion tokens. The model is completely trained on synthetic data, according to Raghavan.

AI experts often advise caution when using synthetic data — essentially data generated by a large language model that aims to replicate real-world data — to train other AI models, because LLMs tend to hallucinate and make up information that may not be accurate. Training AI models on such data may serve to exacerbate such inaccuracies.

Raghavan said Sarvam opted to use synthetic data due to the extremely limited availability of Indian language content on the open web. The startup has developed models to clean and improve the data first used to generate the synthetic datasets, he added.

The founder claimed that Sarvam 2B will cost a tenth of anything comparable in the industry. The startup is open sourcing the model, hoping that community will further build upon it.

“While the large language foundational models are very exciting, you can achieve an experience that is superior, more specific, lower-cost and with reduced latency using small language models,” Raghavan said. “If you want to perform a query or two in a week or a month, you should use the large language models. But for use cases requiring millions of daily interactions, I believe smaller models are more suitable.”

The startup is also launching an audio-language model, called Shuka, built on its Saaras v1 audio decoder and Meta’s Llama-3-8B Instruct. This model is also being open sourced, so developers can use the startup’s translation, TTS, and other modules to build voice interfaces.

And there’s another product dubbed “A1” — a generative AI workbench designed for lawyers to look up regulations, draft documents, redact them and extract data.

Sarvam is one of the small groups of Indian startups advocating for use cases that align with the country’s interests and contribute to the government’s efforts to develop its own bespoke AI infrastructure.

Governments across the world are increasingly pursuing “sovereign AI” — AI infra that’s developed and controlled at the national level. The purported aim of such efforts is to safeguard data privacy, stimulate economic growth and tailor AI development to their cultural contexts. The United States and China currently have the biggest investments in this space, and India is following with its “IndiaAI” program and language-specific models.

One of the initiatives under the IndiaAI program is called IndiaAI Compute Capacity, and the plan is to establish a supercomputer powered by at least 10,000 GPUs. One of the models being developed, dubbed Bhashini, aims to democratize access to digital services across various Indian languages.

Raghavan said his startup is ready to contribute to the IndiaAI program. “If the opportunity arises, we will work with the government,” he said in the interview.

Why this AI startup is betting on voice-enabled bots to scale AI adoption in India

Image Credits: Sarvam AI

If your target market has 22 official languages and its people speak in over 19,000 dialects, does it make sense to offer a text-only AI chatbot that can function best in a couple languages?

That’s the question Indian AI startup Sarvam has been working to solve, and on Tuesday it launched a series of offerings, including a voice-enabled AI bot that supports more than 10 Indian languages, betting that people in the country would prefer to talk to an AI model in their own language rather than chat with it over text. The startup is also launching a small language model, an AI tool for lawyers, as well as an audio-language model.

“People prefer to speak in their own language. It’s extremely challenging to type in Indian languages today,” Vivek Raghavan, co-founder of Sarvam AI, told TechCrunch.

The Bengaluru-based startup, which primarily targets businesses and enterprises, is pitching its AI voice-enabled bots for a number of industries, particularly those relying on customer support. As an example, it pointed to one of its customers: Sri Mandir, a startup that offers religious content, has been using Sarvam’s AI agent to accept payments, and has processed more than 270,000 transactions so far.

The company said its AI voice agents can be deployed on WhatsApp, within an app, and can even work with traditional voice calls.

Backed by Peak XV and Lightspeed, Sarvam plans to price its AI agents starting at ₹1 (approximately 1 cent) per minute of usage.

Image Credits: Sarvam

The startup is building its voice-enabled AI agents on top of a foundational, small language model, called Sarvam 2B, that’s trained on a data set of 4 trillion tokens. The model is completely trained on synthetic data, according to Raghavan.

AI experts often advise caution when using synthetic data — essentially data generated by a large language model that aims to replicate real-world data — to train other AI models, because LLMs tend to hallucinate and make up information that may not be accurate. Training AI models on such data may serve to exacerbate such inaccuracies.

Raghavan said Sarvam opted to use synthetic data due to the extremely limited availability of Indian language content on the open web. The startup has developed models to clean and improve the data first used to generate the synthetic datasets, he added.

The founder claimed that Sarvam 2B will cost a tenth of anything comparable in the industry. The startup is open-sourcing the model, hoping that community will further build upon it.

“While the large language foundational models are very exciting, you can achieve an experience that is superior, more specific, lower-cost and with reduced latency using small language models,” Raghavan said. “If you want to perform a query or two in a week or a month, you should use the large language models. But for use cases requiring millions of daily interactions, I believe smaller models are more suitable.”

The startup is also launching an audio-language model, called Shuka, built on its Saaras v1 audio decoder and Meta’s Llama3-8B Instruct. This model is also being open-sourced, so developers can use the startup’s translation, TTS, and other modules to build voice interfaces.

And, there’s another product dubbed “A1” — a generative AI workbench designed for lawyers that can look up regulations, draft documents, redact them and extract data.

Sarvam is one of the small group of Indian startups advocating for use cases that align with the country’s interests and contribute to the government’s efforts to develop its own bespoke AI infrastructure.

Governments across the world are increasingly pursuing “sovereign AI” – AI infra that’s developed and controlled at the national level. The purported aim of such efforts is to safeguard data privacy, stimulate economic growth and tailor AI development to their cultural contexts. The United States and China currently have the biggest investments in this space, and India is following with its “IndiaAI” program and language-specific models.

One of the initiatives under the IndiaAI program is called IndiaAI Compute Capacity, and the plan is to establish a supercomputer powered by at least 10,000 GPUs. One of the models being developed, dubbed Bhashini, aims to democratize access to digital services across various Indian languages.

Raghavan said his startup is ready to contribute to the IndiaAI program. “If the opportunity arises, we will work with the government,” he said in the interview.

Joby Aviation is betting on hydrogen-electric aircraft for regional flight

Joby Aviation's hydrogen eVTOL

Image Credits: Joby Aviation

Joby Aviation is still a year away from commercially launching its electric air taxi designed for urban environments, but the startup is already looking toward its next chapter: intercity flight, powered by hydrogen. 

To get the conversation started with regulators and demonstrate hydrogen’s capabilities, Joby told TechCrunch that it completed a 523-mile test flight with a hydrogen-electric prototype aircraft — one of its eVTOLs (electric vertical takeoff and landing vehicle) that the startup fitted with a liquid hydrogen fuel cell and hydrogen-electric propulsion system. 

Today, Joby Aviation’s eVTOLs are being built to transport people and goods short distances within cities or from cities to airports. Powered by batteries, the aircraft have 100 miles of range. Hydrogen acts as a range-extender, opening the door to a regional use case, according to Joby. 

“This is a landmark moment for aviation,” JoeBen Bevirt, CEO of Joby, told TechCrunch. “If you want to travel long distances, or you want to stay in the air for long periods of time, hydrogen-electric is a game changer.”

The use of hydrogen to power vehicles has been hotly contested for years. Hydrogen is technically a zero emissions fuel source because it only emits water when in use. But it’s expensive and energy intensive to produce, and most of today’s stock is made using fossil fuels. Green hydrogen, which is produced via renewable energy sources, has yet to scale significantly.

However, recent private and public investment into green hydrogen, including an $8 billion hydrogen hub program within Biden’s Inflation Reduction Act, is giving the sector new life. And Bevirt says “aviation has the potential to be a massive consumer of green hydrogen.”

“The amazing thing about hydrogen is it’s three times lighter than jet fuel per unit of energy. It’s 100 times lighter than today’s batteries per unit of energy,” Bevirt said. “And with hydrogen fuel cells…we’re able to convert the chemical energy in hydrogen into propulsion twice as efficiently.”

Joby has been quietly setting the stage to implement hydrogen into its eVTOLs. In 2021, Joby acquired H2Fly, a German hydrogen aviation startup. Last year, H2Fly demonstrated its own piloted flight with a liquid hydrogen-powered aircraft, and now, Joby has used that same technology to power a hydrogen version of its eVTOL. Bevirt told TechCrunch that the fuel cell system that H2Fly designed and built was able to power the six electric motors on the Joby aircraft and recharge its batteries in flight. 

Joby is still very much in the demonstration phase, but when the startup is ready to start testing regional flights, it’ll be able to integrate hydrogen-powered eVTOLs into its current system with minimal financial outlay, according to Bevirt. 

“We take this battery electric aircraft we’ve built, and we take 90% of the systems and components that are in it, and we augment it with a hydrogen-electric range extender,” said Bevirt. “And now, with a very small incremental investment, we can use the same vertiports, the same pilots and mechanics and the Elevate operating system, which does all the back-end logic.”

ElevateOS, which is core to Joby’s planned air taxi service, is a nod to Uber’s Elevate air taxi business, which the ride-hail giant sold to Joby in 2020. That sale included a set of software tools that enable on-demand mobility not unlike hailing an Uber ride. And in fact, Joby’s app will be integrated with Uber and Delta Airlines, the startup’s launch partner. 

“So whether you pick up the Joby app or the Uber app, all of a sudden, it gives you the opportunity to not just go across town, but you can go anywhere in a region,” said Bevirt.  

Some investors aren’t so convinced. 

Cyrus Sigari, co-founder and managing partner of VC Up.Partners, said that while he’d love to see a hydrogen-powered eVTOL come to life, investors “would need to see a very compelling technical and business case to pursue investment in the category.”

One of the biggest challenges, he said, lies with the infrastructure. 

“The industry is already scratching its head figuring out how to support battery electric aircraft with charging infrastructure at airports,” Sigari told TechCrunch. “Adding hydrogen filling stations into that equation will present even more challenges.”

He noted the recent shutdown of Universal Hydrogen, one of the more prominent players in the hydrogen space for powering traditional airlines, has brought to light just how hard all of this is. 

When asked about the hydrogen filling stations, Bevirt wasn’t fazed. 

“We don’t expect that to be a significant impediment to the rollout,” Bevirt told TechCrunch. “We are in conversations with lots of airports across the country and around the world that are putting in liquid hydrogen refueling infrastructure.”

And even as Universal Hydrogen had to shutter because it was unable to raise enough funds to continue, ZeroAvia signed a large deal with American Airlines, which committed to the purchase of 100 hydrogen-powered engines. 

Joby didn’t provide a timeline for when it plans to launch hydrogen-powered eVTOLs, but the goal with its demonstration flight is to open the floor to discussion with green hydrogen producers and regulators. 

“This is an important moment where we can begin the dialogue with regulators, both here in the U.S. and around the world, to say the technology is here, the technology is ready and it’s time to put the pieces in place to certify this,” said Bevirt. 

Southeast Asia from space at night with city lights showing Southeast Asian cities in Thailand, Vietnam, Malaysia, Singapore and Indonesia, 3d rendering of planet Earth, elements from NASA

Why NASA is betting on a 36-pixel camera

Southeast Asia from space at night with city lights showing Southeast Asian cities in Thailand, Vietnam, Malaysia, Singapore and Indonesia, 3d rendering of planet Earth, elements from NASA

Image Credits: NicoElNino (opens in a new window) / Getty Images

NASA’s James Webb Space Telescope is making strides in astronomy with its 122-megapixel primarily infrared photos taken 1.5 million kilometers away from Earth. Impressive stuff. The space agency’s newest sky-peeper takes a different approach, however, performing groundbreaking space science with 36 pixels. That’s not a typo—36 pixels, not 36 megapixels.

The X-ray Imaging and Spectroscopy Mission (XRISM), pronounced “crism,” is a collaboration between NASA and the Japan Aerospace Exploration Agency (JAXA). The mission’s satellite launched into orbit last September and has been scouring the cosmos for answers to some of science’s most complex questions ever since. The mission’s imaging instrument, Resolve, has a 36-pixel image sensor.

It’s been a hot minute since we could count the individual pixels on an imaging chip, but here we are… The array measures 0.2 inches (5 millimeters) on a side. The device produces a spectrum of X-ray sources between 400 and 12,000 electron volts — up to 5,000 times the energy of visible light — with unprecedented detail. Image Credits: NASA/XRISM/Caroline Kilbourne

“Resolve is more than a camera. Its detector takes the temperature of each X-ray that strikes it,” said Brian Williams, NASA’s XRISM project scientist at Goddard, in a press statement.  “We call Resolve a microcalorimeter spectrometer because each of its 36 pixels is measuring tiny amounts of heat delivered by each incoming X-ray, allowing us to see the chemical fingerprints of elements making up the sources in unprecedented detail.”

Equipped with an extraordinary array of pixels, the Resolve instrument can detect “soft” X-rays, which possess an energy approximately 5,000 times greater than visible light wavelengths. Its primary focus is exploring the hottest cosmic regions, the largest structures, and the most massive celestial objects, such as supermassive black holes. Despite its limited pixel count, each pixel in Resolve is remarkable, capable of generating a rich spectrum of visual data encompassing an energy range from 400 to 12,000 electron volts.

The agency says the instrument can perceive the motions of elements within a target, essentially offering a three-dimensional perspective. Gas moving toward us emits slightly higher energies than usual, while gas moving away emits slightly lower energies. This capability opens up new avenues for scientific exploration. For instance, it enables scientists to understand the flow of hot gas in galaxy clusters and to meticulously track the movement of various elements in the remnants of supernova explosions.