[gpt3]Rewrite the following original defence news title into one highly clickable Hindi/Hinglish headline for TirangaPost.com. Original Title: Defense startup raises $61 million to put AI into a wrist-worn display Requirements: * Rewrite the title; do not copy it exactly. * Preserve the original factual meaning. * Use natural Hinglish suitable for Indian defence readers. * Keep common defence terms in English where natural, such as Missile, Air Defence, Fighter Jet, Drone, Radar, Defence Deal, Army, Navy, Air Force, DRDO, HAL, BEL, Contract, Production, Range, Weapon System, etc. * Make it attractive for Facebook and defence enthusiasts without sensationalising unsupported facts. * Mention deal value, range, quantity, country, company, organisation, timeline, Pakistan, China, or other strategic angle only if present or clearly supported by the original title. * Do not invent facts. * Do not convert a proposal, expectation, report, trial, negotiation, or possible contract into a confirmed event. * Keep the headline approximately 12–18 words. * Return only the rewritten headline.[gpt3]

Must read

[gpt3]Rewrite the following source article into a completely original, publication-ready Hindi defence news article for TirangaPost.com.

Source Content:

For the U.S. military, artificial intelligence tools help analysts turn enormous amounts of data into something actionable, like when to strike a target or where to position troops.

The goal, as military officials and industry executives often describe it, is to give commanders the information they need to make consequential decisions as quickly as possible.

But no matter how fast or accurate the analysis is, there’s still a gap between identifying what needs to happen and acting on it. Much of that AI processing happens on computers and servers miles from the battlefield, leaving troops to receive the information through radios, tablets or other devices.

That means the next step in military AI may be putting the technology directly on the bodies of those in the field. While some companies are exploring wearable technology like helmets equipped with heads-up displays, Smack Technologies thinks the answer may be much simpler: Instead of putting AI in a helmet, put it on an operator’s wrist.

The California-based defense tech startup recently raised $61 million in Series B funding to develop Alpha, a wrist-worn device designed to connect operators in the field to real-time data collected and processed through Smack’s Omega AI software.

Andy Markoff, Smack’s co-founder and chief executive, told Military Times that his company started with the software because it could train its AI around day-to-day operations.

“Alpha tackles a much harder problem because you have to make the model work in the field with hardware and little to no connectivity, but we’ve always known this is what has to happen to enable decision dominance,” he said.

During an interview, Markoff walked Military Times through the concept of Alpha, from how operators would wear the device to how it’s used.

As a former Marine Raider, Markoff said he and his team of former military personnel believe the wrist is a more convenient place to access intelligence in the field.

“The form factor we’re building replaces what I literally used to wear on my forearm, only here I’m exchanging a whiteboard and grease pencil for a flexible computer screen that has our models’ capabilities on it,” he said.

He likened the concept to a QB sleeve, which allows a quarterback to see plays at a glance.

“Our sensors that are out collecting information about enemy forces and their location are sending that information to a screen on my forearm along with actionable decision options informed by campaign equities and adjacent units,” he said.

Markoff said he recognizes that a heads-up display could be useful for some missions, but he also sees drawbacks, particularly in hot or humid environments.

“If you’ve ever walked in the jungle at night, you know you’d actually rather risk having an eyeball poked out by a tree than wear shooting glasses that fog up and prevent you from seeing anything,” he said.

However, Markoff said that the hardware is the easy part of building an AI-enabled wearable. The more difficult problem is figuring out what information an operator needs in the field.

He explained the fundamental idea behind Alpha is to decentralize command and control in environments where operators cannot communicate directly with commanders.

“To do this, we’re essentially encoding commander’s intent: here’s our goal, here’s what makes the most sense for the theater and the theater’s goals, and here’s context around how everyone at the front lines should be going after that goal, including constraints and contracts with adjacent units,” he said.

He added that the goal isn’t to have AI make decisions, but to give the operator enough information to make better ones, potentially increasing effectiveness while reducing wasted time and resources.

Alpha has been in development for only about four months, but Markoff projects that Smack will have a working prototype within the next year and could secure contracts for the device within two years.

Daniel Terrill is a contributor to Military Times. He’s been reporting on military issues, the gun industry, and the outdoors for nearly two decades. Although writing is his passion, he’s been a Marine, police officer, and, perhaps the most dangerous job of his career, a substitute teacher.

IMPORTANT:
Use

For the U.S. military, artificial intelligence tools help analysts turn enormous amounts of data into something actionable, like when to strike a target or where to position troops.

The goal, as military officials and industry executives often describe it, is to give commanders the information they need to make consequential decisions as quickly as possible.

But no matter how fast or accurate the analysis is, there’s still a gap between identifying what needs to happen and acting on it. Much of that AI processing happens on computers and servers miles from the battlefield, leaving troops to receive the information through radios, tablets or other devices.

That means the next step in military AI may be putting the technology directly on the bodies of those in the field. While some companies are exploring wearable technology like helmets equipped with heads-up displays, Smack Technologies thinks the answer may be much simpler: Instead of putting AI in a helmet, put it on an operator’s wrist.

The California-based defense tech startup recently raised $61 million in Series B funding to develop Alpha, a wrist-worn device designed to connect operators in the field to real-time data collected and processed through Smack’s Omega AI software.

Andy Markoff, Smack’s co-founder and chief executive, told Military Times that his company started with the software because it could train its AI around day-to-day operations.

“Alpha tackles a much harder problem because you have to make the model work in the field with hardware and little to no connectivity, but we’ve always known this is what has to happen to enable decision dominance,” he said.

During an interview, Markoff walked Military Times through the concept of Alpha, from how operators would wear the device to how it’s used.

As a former Marine Raider, Markoff said he and his team of former military personnel believe the wrist is a more convenient place to access intelligence in the field.

“The form factor we’re building replaces what I literally used to wear on my forearm, only here I’m exchanging a whiteboard and grease pencil for a flexible computer screen that has our models’ capabilities on it,” he said.

He likened the concept to a QB sleeve, which allows a quarterback to see plays at a glance.

“Our sensors that are out collecting information about enemy forces and their location are sending that information to a screen on my forearm along with actionable decision options informed by campaign equities and adjacent units,” he said.

Markoff said he recognizes that a heads-up display could be useful for some missions, but he also sees drawbacks, particularly in hot or humid environments.

“If you’ve ever walked in the jungle at night, you know you’d actually rather risk having an eyeball poked out by a tree than wear shooting glasses that fog up and prevent you from seeing anything,” he said.

However, Markoff said that the hardware is the easy part of building an AI-enabled wearable. The more difficult problem is figuring out what information an operator needs in the field.

He explained the fundamental idea behind Alpha is to decentralize command and control in environments where operators cannot communicate directly with commanders.

“To do this, we’re essentially encoding commander’s intent: here’s our goal, here’s what makes the most sense for the theater and the theater’s goals, and here’s context around how everyone at the front lines should be going after that goal, including constraints and contracts with adjacent units,” he said.

He added that the goal isn’t to have AI make decisions, but to give the operator enough information to make better ones, potentially increasing effectiveness while reducing wasted time and resources.

Alpha has been in development for only about four months, but Markoff projects that Smack will have a working prototype within the next year and could secure contracts for the device within two years.

Daniel Terrill is a contributor to Military Times. He’s been reporting on military issues, the gun industry, and the outdoors for nearly two decades. Although writing is his passion, he’s been a Marine, police officer, and, perhaps the most dangerous job of his career, a substitute teacher.

as the factual source of the article.
Rewrite the complete article in original language and structure.
Do not copy sentences or paragraphs from the source.
Do not add unsupported facts.

LANGUAGE:

* Write primarily in natural Hindi using Devanagari.
* Keep commonly understood defence and technical terms in English where natural, such as Air Defence, Missile System, Radar, Drone, UAV, Fighter Aircraft, Cruise Missile, Production Contract, Defence Manufacturing, Make in India, Operational Capability, etc.
* Explain complex military concepts in simple Hindi.
* Use short, mobile-friendly paragraphs.

FACTUAL RULES:

* Preserve all important verified facts contained in

For the U.S. military, artificial intelligence tools help analysts turn enormous amounts of data into something actionable, like when to strike a target or where to position troops.

The goal, as military officials and industry executives often describe it, is to give commanders the information they need to make consequential decisions as quickly as possible.

But no matter how fast or accurate the analysis is, there’s still a gap between identifying what needs to happen and acting on it. Much of that AI processing happens on computers and servers miles from the battlefield, leaving troops to receive the information through radios, tablets or other devices.

That means the next step in military AI may be putting the technology directly on the bodies of those in the field. While some companies are exploring wearable technology like helmets equipped with heads-up displays, Smack Technologies thinks the answer may be much simpler: Instead of putting AI in a helmet, put it on an operator’s wrist.

The California-based defense tech startup recently raised $61 million in Series B funding to develop Alpha, a wrist-worn device designed to connect operators in the field to real-time data collected and processed through Smack’s Omega AI software.

Andy Markoff, Smack’s co-founder and chief executive, told Military Times that his company started with the software because it could train its AI around day-to-day operations.

“Alpha tackles a much harder problem because you have to make the model work in the field with hardware and little to no connectivity, but we’ve always known this is what has to happen to enable decision dominance,” he said.

During an interview, Markoff walked Military Times through the concept of Alpha, from how operators would wear the device to how it’s used.

As a former Marine Raider, Markoff said he and his team of former military personnel believe the wrist is a more convenient place to access intelligence in the field.

“The form factor we’re building replaces what I literally used to wear on my forearm, only here I’m exchanging a whiteboard and grease pencil for a flexible computer screen that has our models’ capabilities on it,” he said.

He likened the concept to a QB sleeve, which allows a quarterback to see plays at a glance.

“Our sensors that are out collecting information about enemy forces and their location are sending that information to a screen on my forearm along with actionable decision options informed by campaign equities and adjacent units,” he said.

Markoff said he recognizes that a heads-up display could be useful for some missions, but he also sees drawbacks, particularly in hot or humid environments.

“If you’ve ever walked in the jungle at night, you know you’d actually rather risk having an eyeball poked out by a tree than wear shooting glasses that fog up and prevent you from seeing anything,” he said.

However, Markoff said that the hardware is the easy part of building an AI-enabled wearable. The more difficult problem is figuring out what information an operator needs in the field.

He explained the fundamental idea behind Alpha is to decentralize command and control in environments where operators cannot communicate directly with commanders.

“To do this, we’re essentially encoding commander’s intent: here’s our goal, here’s what makes the most sense for the theater and the theater’s goals, and here’s context around how everyone at the front lines should be going after that goal, including constraints and contracts with adjacent units,” he said.

He added that the goal isn’t to have AI make decisions, but to give the operator enough information to make better ones, potentially increasing effectiveness while reducing wasted time and resources.

Alpha has been in development for only about four months, but Markoff projects that Smack will have a working prototype within the next year and could secure contracts for the device within two years.

Daniel Terrill is a contributor to Military Times. He’s been reporting on military issues, the gun industry, and the outdoors for nearly two decades. Although writing is his passion, he’s been a Marine, police officer, and, perhaps the most dangerous job of his career, a substitute teacher.

.
* Do not invent figures, ranges, quantities, contract values, delivery dates, technical specifications, quotations, deployments, approvals, or military capabilities.
* Clearly distinguish between confirmed developments, official statements, company expectations, reported information, proposals, trials, negotiations, and analysis.
* Never convert a proposed deal into a signed deal.
* Never convert expected approval into final approval.
* Never convert testing into induction.
* Never create quotations not present in

For the U.S. military, artificial intelligence tools help analysts turn enormous amounts of data into something actionable, like when to strike a target or where to position troops.

The goal, as military officials and industry executives often describe it, is to give commanders the information they need to make consequential decisions as quickly as possible.

But no matter how fast or accurate the analysis is, there’s still a gap between identifying what needs to happen and acting on it. Much of that AI processing happens on computers and servers miles from the battlefield, leaving troops to receive the information through radios, tablets or other devices.

That means the next step in military AI may be putting the technology directly on the bodies of those in the field. While some companies are exploring wearable technology like helmets equipped with heads-up displays, Smack Technologies thinks the answer may be much simpler: Instead of putting AI in a helmet, put it on an operator’s wrist.

The California-based defense tech startup recently raised $61 million in Series B funding to develop Alpha, a wrist-worn device designed to connect operators in the field to real-time data collected and processed through Smack’s Omega AI software.

Andy Markoff, Smack’s co-founder and chief executive, told Military Times that his company started with the software because it could train its AI around day-to-day operations.

“Alpha tackles a much harder problem because you have to make the model work in the field with hardware and little to no connectivity, but we’ve always known this is what has to happen to enable decision dominance,” he said.

During an interview, Markoff walked Military Times through the concept of Alpha, from how operators would wear the device to how it’s used.

As a former Marine Raider, Markoff said he and his team of former military personnel believe the wrist is a more convenient place to access intelligence in the field.

“The form factor we’re building replaces what I literally used to wear on my forearm, only here I’m exchanging a whiteboard and grease pencil for a flexible computer screen that has our models’ capabilities on it,” he said.

He likened the concept to a QB sleeve, which allows a quarterback to see plays at a glance.

“Our sensors that are out collecting information about enemy forces and their location are sending that information to a screen on my forearm along with actionable decision options informed by campaign equities and adjacent units,” he said.

Markoff said he recognizes that a heads-up display could be useful for some missions, but he also sees drawbacks, particularly in hot or humid environments.

“If you’ve ever walked in the jungle at night, you know you’d actually rather risk having an eyeball poked out by a tree than wear shooting glasses that fog up and prevent you from seeing anything,” he said.

However, Markoff said that the hardware is the easy part of building an AI-enabled wearable. The more difficult problem is figuring out what information an operator needs in the field.

He explained the fundamental idea behind Alpha is to decentralize command and control in environments where operators cannot communicate directly with commanders.

“To do this, we’re essentially encoding commander’s intent: here’s our goal, here’s what makes the most sense for the theater and the theater’s goals, and here’s context around how everyone at the front lines should be going after that goal, including constraints and contracts with adjacent units,” he said.

He added that the goal isn’t to have AI make decisions, but to give the operator enough information to make better ones, potentially increasing effectiveness while reducing wasted time and resources.

Alpha has been in development for only about four months, but Markoff projects that Smack will have a working prototype within the next year and could secure contracts for the device within two years.

Daniel Terrill is a contributor to Military Times. He’s been reporting on military issues, the gun industry, and the outdoors for nearly two decades. Although writing is his passion, he’s been a Marine, police officer, and, perhaps the most dangerous job of his career, a substitute teacher.

.
* If information is uncertain, clearly state that it is not yet confirmed.

ARTICLE STRUCTURE:

Begin directly with a 120–150 word introduction summarising the main development and its significance for Indian defence.

Use suitable H2 and H3 headings based on the actual content.

Where relevant, cover:

## क्या है पूरा मामला?

Explain the main development clearly.

## कंपनी, सरकार या सेना ने क्या कहा?

Rewrite the important official/company statements from

For the U.S. military, artificial intelligence tools help analysts turn enormous amounts of data into something actionable, like when to strike a target or where to position troops.

The goal, as military officials and industry executives often describe it, is to give commanders the information they need to make consequential decisions as quickly as possible.

But no matter how fast or accurate the analysis is, there’s still a gap between identifying what needs to happen and acting on it. Much of that AI processing happens on computers and servers miles from the battlefield, leaving troops to receive the information through radios, tablets or other devices.

That means the next step in military AI may be putting the technology directly on the bodies of those in the field. While some companies are exploring wearable technology like helmets equipped with heads-up displays, Smack Technologies thinks the answer may be much simpler: Instead of putting AI in a helmet, put it on an operator’s wrist.

The California-based defense tech startup recently raised $61 million in Series B funding to develop Alpha, a wrist-worn device designed to connect operators in the field to real-time data collected and processed through Smack’s Omega AI software.

Andy Markoff, Smack’s co-founder and chief executive, told Military Times that his company started with the software because it could train its AI around day-to-day operations.

“Alpha tackles a much harder problem because you have to make the model work in the field with hardware and little to no connectivity, but we’ve always known this is what has to happen to enable decision dominance,” he said.

During an interview, Markoff walked Military Times through the concept of Alpha, from how operators would wear the device to how it’s used.

As a former Marine Raider, Markoff said he and his team of former military personnel believe the wrist is a more convenient place to access intelligence in the field.

“The form factor we’re building replaces what I literally used to wear on my forearm, only here I’m exchanging a whiteboard and grease pencil for a flexible computer screen that has our models’ capabilities on it,” he said.

He likened the concept to a QB sleeve, which allows a quarterback to see plays at a glance.

“Our sensors that are out collecting information about enemy forces and their location are sending that information to a screen on my forearm along with actionable decision options informed by campaign equities and adjacent units,” he said.

Markoff said he recognizes that a heads-up display could be useful for some missions, but he also sees drawbacks, particularly in hot or humid environments.

“If you’ve ever walked in the jungle at night, you know you’d actually rather risk having an eyeball poked out by a tree than wear shooting glasses that fog up and prevent you from seeing anything,” he said.

However, Markoff said that the hardware is the easy part of building an AI-enabled wearable. The more difficult problem is figuring out what information an operator needs in the field.

He explained the fundamental idea behind Alpha is to decentralize command and control in environments where operators cannot communicate directly with commanders.

“To do this, we’re essentially encoding commander’s intent: here’s our goal, here’s what makes the most sense for the theater and the theater’s goals, and here’s context around how everyone at the front lines should be going after that goal, including constraints and contracts with adjacent units,” he said.

He added that the goal isn’t to have AI make decisions, but to give the operator enough information to make better ones, potentially increasing effectiveness while reducing wasted time and resources.

Alpha has been in development for only about four months, but Markoff projects that Smack will have a working prototype within the next year and could secure contracts for the device within two years.

Daniel Terrill is a contributor to Military Times. He’s been reporting on military issues, the gun industry, and the outdoors for nearly two decades. Although writing is his passion, he’s been a Marine, police officer, and, perhaps the most dangerous job of his career, a substitute teacher.

without changing their meaning.

## यह Defence System, Project या Deal क्या है?

Explain the main platform, technology, weapon, company, contract or programme.

## प्रमुख विशेषताएँ

If

For the U.S. military, artificial intelligence tools help analysts turn enormous amounts of data into something actionable, like when to strike a target or where to position troops.

The goal, as military officials and industry executives often describe it, is to give commanders the information they need to make consequential decisions as quickly as possible.

But no matter how fast or accurate the analysis is, there’s still a gap between identifying what needs to happen and acting on it. Much of that AI processing happens on computers and servers miles from the battlefield, leaving troops to receive the information through radios, tablets or other devices.

That means the next step in military AI may be putting the technology directly on the bodies of those in the field. While some companies are exploring wearable technology like helmets equipped with heads-up displays, Smack Technologies thinks the answer may be much simpler: Instead of putting AI in a helmet, put it on an operator’s wrist.

The California-based defense tech startup recently raised $61 million in Series B funding to develop Alpha, a wrist-worn device designed to connect operators in the field to real-time data collected and processed through Smack’s Omega AI software.

Andy Markoff, Smack’s co-founder and chief executive, told Military Times that his company started with the software because it could train its AI around day-to-day operations.

“Alpha tackles a much harder problem because you have to make the model work in the field with hardware and little to no connectivity, but we’ve always known this is what has to happen to enable decision dominance,” he said.

During an interview, Markoff walked Military Times through the concept of Alpha, from how operators would wear the device to how it’s used.

As a former Marine Raider, Markoff said he and his team of former military personnel believe the wrist is a more convenient place to access intelligence in the field.

“The form factor we’re building replaces what I literally used to wear on my forearm, only here I’m exchanging a whiteboard and grease pencil for a flexible computer screen that has our models’ capabilities on it,” he said.

He likened the concept to a QB sleeve, which allows a quarterback to see plays at a glance.

“Our sensors that are out collecting information about enemy forces and their location are sending that information to a screen on my forearm along with actionable decision options informed by campaign equities and adjacent units,” he said.

Markoff said he recognizes that a heads-up display could be useful for some missions, but he also sees drawbacks, particularly in hot or humid environments.

“If you’ve ever walked in the jungle at night, you know you’d actually rather risk having an eyeball poked out by a tree than wear shooting glasses that fog up and prevent you from seeing anything,” he said.

However, Markoff said that the hardware is the easy part of building an AI-enabled wearable. The more difficult problem is figuring out what information an operator needs in the field.

He explained the fundamental idea behind Alpha is to decentralize command and control in environments where operators cannot communicate directly with commanders.

“To do this, we’re essentially encoding commander’s intent: here’s our goal, here’s what makes the most sense for the theater and the theater’s goals, and here’s context around how everyone at the front lines should be going after that goal, including constraints and contracts with adjacent units,” he said.

He added that the goal isn’t to have AI make decisions, but to give the operator enough information to make better ones, potentially increasing effectiveness while reducing wasted time and resources.

Alpha has been in development for only about four months, but Markoff projects that Smack will have a working prototype within the next year and could secure contracts for the device within two years.

Daniel Terrill is a contributor to Military Times. He’s been reporting on military issues, the gun industry, and the outdoors for nearly two decades. Although writing is his passion, he’s been a Marine, police officer, and, perhaps the most dangerous job of his career, a substitute teacher.

contains sufficient verified technical information, provide a Markdown table containing only confirmed details.

## भारतीय सेना, नौसेना या वायुसेना को क्या फायदा होगा?

Explain the operational significance based strictly on the known role of the system or programme.

## China और Pakistan पर Strategic Impact

Include this section only if strategically relevant to the subject.
Provide measured analysis based on verified range, role, geography and capability.
Do not make unsupported claims.

## Make in India और Defence Industry पर असर

Where relevant, explain the impact on Indian defence manufacturing, DRDO, HAL, BEL, BDL, private industry, indigenous production and Atmanirbhar Bharat.

## Production, Delivery या Deployment कब?

Explain timelines only when available in

For the U.S. military, artificial intelligence tools help analysts turn enormous amounts of data into something actionable, like when to strike a target or where to position troops.

The goal, as military officials and industry executives often describe it, is to give commanders the information they need to make consequential decisions as quickly as possible.

But no matter how fast or accurate the analysis is, there’s still a gap between identifying what needs to happen and acting on it. Much of that AI processing happens on computers and servers miles from the battlefield, leaving troops to receive the information through radios, tablets or other devices.

That means the next step in military AI may be putting the technology directly on the bodies of those in the field. While some companies are exploring wearable technology like helmets equipped with heads-up displays, Smack Technologies thinks the answer may be much simpler: Instead of putting AI in a helmet, put it on an operator’s wrist.

The California-based defense tech startup recently raised $61 million in Series B funding to develop Alpha, a wrist-worn device designed to connect operators in the field to real-time data collected and processed through Smack’s Omega AI software.

Andy Markoff, Smack’s co-founder and chief executive, told Military Times that his company started with the software because it could train its AI around day-to-day operations.

“Alpha tackles a much harder problem because you have to make the model work in the field with hardware and little to no connectivity, but we’ve always known this is what has to happen to enable decision dominance,” he said.

During an interview, Markoff walked Military Times through the concept of Alpha, from how operators would wear the device to how it’s used.

As a former Marine Raider, Markoff said he and his team of former military personnel believe the wrist is a more convenient place to access intelligence in the field.

“The form factor we’re building replaces what I literally used to wear on my forearm, only here I’m exchanging a whiteboard and grease pencil for a flexible computer screen that has our models’ capabilities on it,” he said.

He likened the concept to a QB sleeve, which allows a quarterback to see plays at a glance.

“Our sensors that are out collecting information about enemy forces and their location are sending that information to a screen on my forearm along with actionable decision options informed by campaign equities and adjacent units,” he said.

Markoff said he recognizes that a heads-up display could be useful for some missions, but he also sees drawbacks, particularly in hot or humid environments.

“If you’ve ever walked in the jungle at night, you know you’d actually rather risk having an eyeball poked out by a tree than wear shooting glasses that fog up and prevent you from seeing anything,” he said.

However, Markoff said that the hardware is the easy part of building an AI-enabled wearable. The more difficult problem is figuring out what information an operator needs in the field.

He explained the fundamental idea behind Alpha is to decentralize command and control in environments where operators cannot communicate directly with commanders.

“To do this, we’re essentially encoding commander’s intent: here’s our goal, here’s what makes the most sense for the theater and the theater’s goals, and here’s context around how everyone at the front lines should be going after that goal, including constraints and contracts with adjacent units,” he said.

He added that the goal isn’t to have AI make decisions, but to give the operator enough information to make better ones, potentially increasing effectiveness while reducing wasted time and resources.

Alpha has been in development for only about four months, but Markoff projects that Smack will have a working prototype within the next year and could secure contracts for the device within two years.

Daniel Terrill is a contributor to Military Times. He’s been reporting on military issues, the gun industry, and the outdoors for nearly two decades. Although writing is his passion, he’s been a Marine, police officer, and, perhaps the most dangerous job of his career, a substitute teacher.

.
Clearly distinguish expected timelines from confirmed timelines.

## दूसरे Defence System से तुलना

Include comparison only if it helps explain the topic and can be done factually.

## आगे क्या होगा?

Explain the next likely official step based on the current status described in

For the U.S. military, artificial intelligence tools help analysts turn enormous amounts of data into something actionable, like when to strike a target or where to position troops.

The goal, as military officials and industry executives often describe it, is to give commanders the information they need to make consequential decisions as quickly as possible.

But no matter how fast or accurate the analysis is, there’s still a gap between identifying what needs to happen and acting on it. Much of that AI processing happens on computers and servers miles from the battlefield, leaving troops to receive the information through radios, tablets or other devices.

That means the next step in military AI may be putting the technology directly on the bodies of those in the field. While some companies are exploring wearable technology like helmets equipped with heads-up displays, Smack Technologies thinks the answer may be much simpler: Instead of putting AI in a helmet, put it on an operator’s wrist.

The California-based defense tech startup recently raised $61 million in Series B funding to develop Alpha, a wrist-worn device designed to connect operators in the field to real-time data collected and processed through Smack’s Omega AI software.

Andy Markoff, Smack’s co-founder and chief executive, told Military Times that his company started with the software because it could train its AI around day-to-day operations.

“Alpha tackles a much harder problem because you have to make the model work in the field with hardware and little to no connectivity, but we’ve always known this is what has to happen to enable decision dominance,” he said.

During an interview, Markoff walked Military Times through the concept of Alpha, from how operators would wear the device to how it’s used.

As a former Marine Raider, Markoff said he and his team of former military personnel believe the wrist is a more convenient place to access intelligence in the field.

“The form factor we’re building replaces what I literally used to wear on my forearm, only here I’m exchanging a whiteboard and grease pencil for a flexible computer screen that has our models’ capabilities on it,” he said.

He likened the concept to a QB sleeve, which allows a quarterback to see plays at a glance.

“Our sensors that are out collecting information about enemy forces and their location are sending that information to a screen on my forearm along with actionable decision options informed by campaign equities and adjacent units,” he said.

Markoff said he recognizes that a heads-up display could be useful for some missions, but he also sees drawbacks, particularly in hot or humid environments.

“If you’ve ever walked in the jungle at night, you know you’d actually rather risk having an eyeball poked out by a tree than wear shooting glasses that fog up and prevent you from seeing anything,” he said.

However, Markoff said that the hardware is the easy part of building an AI-enabled wearable. The more difficult problem is figuring out what information an operator needs in the field.

He explained the fundamental idea behind Alpha is to decentralize command and control in environments where operators cannot communicate directly with commanders.

“To do this, we’re essentially encoding commander’s intent: here’s our goal, here’s what makes the most sense for the theater and the theater’s goals, and here’s context around how everyone at the front lines should be going after that goal, including constraints and contracts with adjacent units,” he said.

He added that the goal isn’t to have AI make decisions, but to give the operator enough information to make better ones, potentially increasing effectiveness while reducing wasted time and resources.

Alpha has been in development for only about four months, but Markoff projects that Smack will have a working prototype within the next year and could secure contracts for the device within two years.

Daniel Terrill is a contributor to Military Times. He’s been reporting on military issues, the gun industry, and the outdoors for nearly two decades. Although writing is his passion, he’s been a Marine, police officer, and, perhaps the most dangerous job of his career, a substitute teacher.

.

## निष्कर्ष

Write approximately 120–150 words summarising the development, current status and strategic importance.
Do not add new facts.

## महत्वपूर्ण सवाल (FAQs)

Write exactly 10 FAQs.

Use this format:

#### 1. प्रश्न?

Answer each question in one concise paragraph.

The FAQs should focus on the most relevant facts contained in

For the U.S. military, artificial intelligence tools help analysts turn enormous amounts of data into something actionable, like when to strike a target or where to position troops.

The goal, as military officials and industry executives often describe it, is to give commanders the information they need to make consequential decisions as quickly as possible.

But no matter how fast or accurate the analysis is, there’s still a gap between identifying what needs to happen and acting on it. Much of that AI processing happens on computers and servers miles from the battlefield, leaving troops to receive the information through radios, tablets or other devices.

That means the next step in military AI may be putting the technology directly on the bodies of those in the field. While some companies are exploring wearable technology like helmets equipped with heads-up displays, Smack Technologies thinks the answer may be much simpler: Instead of putting AI in a helmet, put it on an operator’s wrist.

The California-based defense tech startup recently raised $61 million in Series B funding to develop Alpha, a wrist-worn device designed to connect operators in the field to real-time data collected and processed through Smack’s Omega AI software.

Andy Markoff, Smack’s co-founder and chief executive, told Military Times that his company started with the software because it could train its AI around day-to-day operations.

“Alpha tackles a much harder problem because you have to make the model work in the field with hardware and little to no connectivity, but we’ve always known this is what has to happen to enable decision dominance,” he said.

During an interview, Markoff walked Military Times through the concept of Alpha, from how operators would wear the device to how it’s used.

As a former Marine Raider, Markoff said he and his team of former military personnel believe the wrist is a more convenient place to access intelligence in the field.

“The form factor we’re building replaces what I literally used to wear on my forearm, only here I’m exchanging a whiteboard and grease pencil for a flexible computer screen that has our models’ capabilities on it,” he said.

He likened the concept to a QB sleeve, which allows a quarterback to see plays at a glance.

“Our sensors that are out collecting information about enemy forces and their location are sending that information to a screen on my forearm along with actionable decision options informed by campaign equities and adjacent units,” he said.

Markoff said he recognizes that a heads-up display could be useful for some missions, but he also sees drawbacks, particularly in hot or humid environments.

“If you’ve ever walked in the jungle at night, you know you’d actually rather risk having an eyeball poked out by a tree than wear shooting glasses that fog up and prevent you from seeing anything,” he said.

However, Markoff said that the hardware is the easy part of building an AI-enabled wearable. The more difficult problem is figuring out what information an operator needs in the field.

He explained the fundamental idea behind Alpha is to decentralize command and control in environments where operators cannot communicate directly with commanders.

“To do this, we’re essentially encoding commander’s intent: here’s our goal, here’s what makes the most sense for the theater and the theater’s goals, and here’s context around how everyone at the front lines should be going after that goal, including constraints and contracts with adjacent units,” he said.

He added that the goal isn’t to have AI make decisions, but to give the operator enough information to make better ones, potentially increasing effectiveness while reducing wasted time and resources.

Alpha has been in development for only about four months, but Markoff projects that Smack will have a working prototype within the next year and could secure contracts for the device within two years.

Daniel Terrill is a contributor to Military Times. He’s been reporting on military issues, the gun industry, and the outdoors for nearly two decades. Although writing is his passion, he’s been a Marine, police officer, and, perhaps the most dangerous job of his career, a substitute teacher.

, such as:

* What the system/project/deal is
* Developer/manufacturer
* Contract or order value
* User/service
* Role
* Technical capability
* Timeline
* Production or delivery
* Strategic significance
* Current official status

SEO:

* Naturally use the main subject/name as the primary keyword.
* Use relevant secondary keywords such as Indian Defence, Defence Industry, DRDO, Indian Army, Indian Navy, Indian Air Force, Make in India and Atmanirbhar Bharat only where appropriate.
* Avoid keyword stuffing.
* Make headings search-friendly.

STYLE:

* Professional defence-news tone.
* Engaging but not sensational.
* Patriotic but evidence-based.
* No political bias.
* No robotic wording.
* No references to these instructions.

OUTPUT:
Return only the rewritten Hindi article.
Do not include notes, analysis, source commentary, or explanations before or after the article.[gpt3]

More articles

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Latest article