Documenting ICD-10 codes has traditionally been a labor-intensive task in health care, but it's a crucial way to track outcomes, mortalities and morbidities in a standardized way, said Dr. Will Morris, the chief medical officer of Ambience.
"If you think about it from a data perspective, it's how you can compare and contrast clinician A to B, or health system A to B," Morris said in an interview. "It's the cornerstone for quality."
Ambience's technology is used at more than 40 health-care organizations, like Cleveland Clinic and UCSF Health. It has raised more than $100 million, according to PitchBook, from investors including Kleiner Perkins, Andreessen Horowitz and the OpenAI Startup Fund.
The company is reportedly seeking fresh capital at a valuation of over $1 billion, according to a report from The Information. Ambience declined to comment on the report.
Ambience trained its new AI model using OpenAI's reinforcement fine-tuning technology. This technology allows companies to tune OpenAI's best reasoning models for very specific domains, like health care.
To validate the model, Ambience tested it against a "gold panel" set of labels, the company said. The labels were established by a group of expert clinicians who evaluated complex clinical cases and came to an agreement on what the right codes were.
The acquisition adds to a slew of deals Salesforce has made over the years as the company has sought to expand its product portfolio and gain market share. It bought Slack in 2021 for $27.7 billion, Tableau in 2019 for $15.7 billion, and MuleSoft in 2018 for $6.5 billion.
Salesforce CEO Marc Benioff said Monday that the firm would look to leverage Informatica alongside its Data Cloud, MuleSoft and Tableau products to "enable autonomous agents to deliver smarter, safer, and more scalable outcomes for every company."
The Trump administration's decision to exempt iPhones and other consumer electronics from his reciprocal tariffs on April 11 did not reverse those trends, with Apple CEO Tim Cook in early may reiterating plans for most iPhone's sold in the U.S. to be manufactured in India.
IPhones imported from China under Trump's current term tariffs still face an additional 30% of duties, while the baseline tariff rate is currently 10% for most other countries, including India.
Omdia estimates that U.S. iPhone demand is about 20 million a quarter, with India expected to be able to match that level only by 2026.
Meanwhile, Daniel Newman, CEO and principal analyst at research firm Futurum Group, noted that shipment numbers reflect final assembly, but are not representative of the entire supply chain and manufacturing process.
"It was actually a very low lift for them to migrate more and more of the final assembly from China to India," he said, adding that a vast majority of the sub-assemblies are all still in China.
At the core of PRAD is an innovative receiver with a compact aperture that captures incoming laser light with minimal loss. Once inside, the beam hits a parabolic mirror and is directed onto an array of photovoltaic cells, efficiently converting the laser energy back into usable electrical power, reports PV Magazine.
This demonstration marks a critical milestone for enabling rapid, on-demand energy delivery in military environments. The PRAD technology is scalable and designed for integration into various platforms, including UAVs, potentially eliminating the need for traditional fuel logistics in the field.
“It’s a lot easier to send a power beam directly up or down relative to the ground because there is so much less atmosphere to fight through. For PRAD, we wanted to test under the maximum impact of atmospheric effects,” Jaffe said.
While efficiency wasn’t the main objective, the team recorded over 20 percent conversion efficiency from laser to electrical power at shorter distances.
According to DARPA, the primary goal was to rapidly validate a new receiver design capable of extending transmission range, even if it meant trade-offs in efficiency. Impressively, the receiver was designed and built in just three months.
“This demonstration broke through misconceptions about the limits of power beaming technology, and it is already spurring industry to reimagine what’s possible,” said Jaffe in a statement.
The receiver, which could be scaled for UAVs, was developed by US-based Teravec Technologies, with support from Packet Digital and the Rochester Institute of Technology, reports PV Magazine.
The merger timing coincides with Hygon’s most ambitious processor announcement yet—the upcoming C86-5G processor. The CPU features 128 cores, capable of running 512 simultaneous threads through four-way simultaneous multithreading (SMT4).
In other words, this means that the CPU can run 512 operations or processes simultaneously. This roughly doubles the processing power offered by commercial Intel and AMD CPUs, which use two-way SMT.
Beyond threading, the C86-5G delivers a 17% improvement in instructions per cycle compared to its predecessor. This points to architectural improvements beyond adding cores to the CPU.
The processor also supports massive amounts of memory (up to 1TB) and modern connectivity features, putting it on par with current Intel and AMD chips.
According to the team, these layers can reduce engine noise by up to 26 decibels (dB) together, which is a significant acoustic improvement. A 10dB reduction in underwater noise can cut detection range by roughly 32 percent.
So, 26dB reduction could more than halve a submarine’s sonar detection range. This targets low-frequency tonal noise, the primary way submarines are detected by sonar.
For reference, most modern submarines, especially American ones, typically have acoustic signatures between 90 dB (Ohio-class) and 130 dB (older Los Angeles-class). With ambient sea noise at between 85–95 dB due to waves, marine life, and other vessels, anything close to this effectively allows a submarine to “hide in the noise.”
“During low-speed navigation, mechanical noise generated by power equipment operation constitutes the primary noise source for underwater vehicles, serving as their key acoustic signature for detection – typically manifested as a series of low-frequency tonal components,” the researchers said.
“Implementing vibration-damping measures to diminish energy transmission from engines through supporting structures is crucial for enhancing underwater vehicles’ acoustic stealth performance,” they added.
During testing, a scaled-down model with the new technology reduced noise levels by 24dB (12dB passive plus 12dB active) at 100 Hz and 26dB at 400 Hz.
According to the team, the system has an effective bandwidth of 10–500Hz. This, they explain, should cover most typical engine harmonics, while real-time noise cancellation was possible thanks to the system’s extremely short response time, according to the study.
Airvolve wants to build a ten times cheaper platform to operate than the current rotorcraft. The Airlift will carry up to 200 kg (441 pounds) of cargo, with five cubic meters of internal volume and a range of 100 km (62 miles).
It will support logistics, evacuation, and other tactical operations using existing military infrastructure, with no special charging systems or pilot training required.
A major innovation is in the aircraft’s rotor design. Instead of traditional vertical-axis rotors, the Airlift uses a pair of horizontal-axis rotors, which Gendvilas describes as “helicopter blades that fold like a big umbrella.”
This configuration, originally explored by Boeing in the 1930s, was abandoned due to material limitations. Airvolve believes modern composites now make this design viable.
UK’s Ministry of Defense is already using AI to an advanced level, with more than 200 scientists joining the military personnel. They recently conducted their largest-ever AI trial across land, sea, and air across a five-day exercise. The aim was to test how fast AI algorithms developed by Thales could identify and neutralize enemy targets.
On the other hand, the British Navy also intends to use AI to track movements of Russian submarines, according to reports. Their SG-1 Fathom autonomous vehicles will have an AI model trained on the acoustic signature of various vessels, submarines, and marine life.
"The rebound was already visible before the May 12 US-China trade deal but gained momentum afterwards," said Stephanie Guichard, senior economist, global indicators at the Conference Board. "Write-in responses on what topics are affecting views of the economy revealed that tariffs are still on top of consumers' minds."
Documenting ICD-10 codes has traditionally been a labor-intensive task in health care, but it's a crucial way to track outcomes, mortalities and morbidities in a standardized way, said Dr. Will Morris, the chief medical officer of Ambience.
"If you think about it from a data perspective, it's how you can compare and contrast clinician A to B, or health system A to B," Morris said in an interview. "It's the cornerstone for quality."
Ambience's technology is used at more than 40 health-care organizations, like Cleveland Clinic and UCSF Health. It has raised more than $100 million, according to PitchBook, from investors including Kleiner Perkins, Andreessen Horowitz and the OpenAI Startup Fund.
The company is reportedly seeking fresh capital at a valuation of over $1 billion, according to a report from The Information. Ambience declined to comment on the report.
Ambience trained its new AI model using OpenAI's reinforcement fine-tuning technology. This technology allows companies to tune OpenAI's best reasoning models for very specific domains, like health care.
To validate the model, Ambience tested it against a "gold panel" set of labels, the company said. The labels were established by a group of expert clinicians who evaluated complex clinical cases and came to an agreement on what the right codes were.
The acquisition adds to a slew of deals Salesforce has made over the years as the company has sought to expand its product portfolio and gain market share. It bought Slack in 2021 for $27.7 billion, Tableau in 2019 for $15.7 billion, and MuleSoft in 2018 for $6.5 billion.
Salesforce CEO Marc Benioff said Monday that the firm would look to leverage Informatica alongside its Data Cloud, MuleSoft and Tableau products to "enable autonomous agents to deliver smarter, safer, and more scalable outcomes for every company."
The Trump administration's decision to exempt iPhones and other consumer electronics from his reciprocal tariffs on April 11 did not reverse those trends, with Apple CEO Tim Cook in early may reiterating plans for most iPhone's sold in the U.S. to be manufactured in India.
IPhones imported from China under Trump's current term tariffs still face an additional 30% of duties, while the baseline tariff rate is currently 10% for most other countries, including India.
Omdia estimates that U.S. iPhone demand is about 20 million a quarter, with India expected to be able to match that level only by 2026.
Meanwhile, Daniel Newman, CEO and principal analyst at research firm Futurum Group, noted that shipment numbers reflect final assembly, but are not representative of the entire supply chain and manufacturing process.
"It was actually a very low lift for them to migrate more and more of the final assembly from China to India," he said, adding that a vast majority of the sub-assemblies are all still in China.
At the core of PRAD is an innovative receiver with a compact aperture that captures incoming laser light with minimal loss. Once inside, the beam hits a parabolic mirror and is directed onto an array of photovoltaic cells, efficiently converting the laser energy back into usable electrical power, reports PV Magazine.
This demonstration marks a critical milestone for enabling rapid, on-demand energy delivery in military environments. The PRAD technology is scalable and designed for integration into various platforms, including UAVs, potentially eliminating the need for traditional fuel logistics in the field.
“It’s a lot easier to send a power beam directly up or down relative to the ground because there is so much less atmosphere to fight through. For PRAD, we wanted to test under the maximum impact of atmospheric effects,” Jaffe said.
While efficiency wasn’t the main objective, the team recorded over 20 percent conversion efficiency from laser to electrical power at shorter distances.
According to DARPA, the primary goal was to rapidly validate a new receiver design capable of extending transmission range, even if it meant trade-offs in efficiency. Impressively, the receiver was designed and built in just three months.
“This demonstration broke through misconceptions about the limits of power beaming technology, and it is already spurring industry to reimagine what’s possible,” said Jaffe in a statement.
The receiver, which could be scaled for UAVs, was developed by US-based Teravec Technologies, with support from Packet Digital and the Rochester Institute of Technology, reports PV Magazine.
The merger timing coincides with Hygon’s most ambitious processor announcement yet—the upcoming C86-5G processor. The CPU features 128 cores, capable of running 512 simultaneous threads through four-way simultaneous multithreading (SMT4).
In other words, this means that the CPU can run 512 operations or processes simultaneously. This roughly doubles the processing power offered by commercial Intel and AMD CPUs, which use two-way SMT.
Beyond threading, the C86-5G delivers a 17% improvement in instructions per cycle compared to its predecessor. This points to architectural improvements beyond adding cores to the CPU.
The processor also supports massive amounts of memory (up to 1TB) and modern connectivity features, putting it on par with current Intel and AMD chips.
According to the team, these layers can reduce engine noise by up to 26 decibels (dB) together, which is a significant acoustic improvement. A 10dB reduction in underwater noise can cut detection range by roughly 32 percent.
So, 26dB reduction could more than halve a submarine’s sonar detection range. This targets low-frequency tonal noise, the primary way submarines are detected by sonar.
For reference, most modern submarines, especially American ones, typically have acoustic signatures between 90 dB (Ohio-class) and 130 dB (older Los Angeles-class). With ambient sea noise at between 85–95 dB due to waves, marine life, and other vessels, anything close to this effectively allows a submarine to “hide in the noise.”
“During low-speed navigation, mechanical noise generated by power equipment operation constitutes the primary noise source for underwater vehicles, serving as their key acoustic signature for detection – typically manifested as a series of low-frequency tonal components,” the researchers said.
“Implementing vibration-damping measures to diminish energy transmission from engines through supporting structures is crucial for enhancing underwater vehicles’ acoustic stealth performance,” they added.
During testing, a scaled-down model with the new technology reduced noise levels by 24dB (12dB passive plus 12dB active) at 100 Hz and 26dB at 400 Hz.
According to the team, the system has an effective bandwidth of 10–500Hz. This, they explain, should cover most typical engine harmonics, while real-time noise cancellation was possible thanks to the system’s extremely short response time, according to the study.
Airvolve wants to build a ten times cheaper platform to operate than the current rotorcraft. The Airlift will carry up to 200 kg (441 pounds) of cargo, with five cubic meters of internal volume and a range of 100 km (62 miles).
It will support logistics, evacuation, and other tactical operations using existing military infrastructure, with no special charging systems or pilot training required.
A major innovation is in the aircraft’s rotor design. Instead of traditional vertical-axis rotors, the Airlift uses a pair of horizontal-axis rotors, which Gendvilas describes as “helicopter blades that fold like a big umbrella.”
This configuration, originally explored by Boeing in the 1930s, was abandoned due to material limitations. Airvolve believes modern composites now make this design viable.
UK’s Ministry of Defense is already using AI to an advanced level, with more than 200 scientists joining the military personnel. They recently conducted their largest-ever AI trial across land, sea, and air across a five-day exercise. The aim was to test how fast AI algorithms developed by Thales could identify and neutralize enemy targets.
On the other hand, the British Navy also intends to use AI to track movements of Russian submarines, according to reports. Their SG-1 Fathom autonomous vehicles will have an AI model trained on the acoustic signature of various vessels, submarines, and marine life.
"The rebound was already visible before the May 12 US-China trade deal but gained momentum afterwards," said Stephanie Guichard, senior economist, global indicators at the Conference Board. "Write-in responses on what topics are affecting views of the economy revealed that tariffs are still on top of consumers' minds."