Technology

AI-powered bat tracking could give baseball players the edge

Published

3 months ago

December 15, 2025

AI-powered bat tracking could give baseball players the edge

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Baseball teams have long searched for a way to study the entire swing without sensors or complex lab setups. Today, a new solution is entering the picture. Theia, an AI biomechanics company, debuted a commercially available video-only system that analyzes bat trajectory and full-body biomechanics together. This new approach works in real baseball environments and needs no reflective body markers, wearables or special equipment.

The system has been field-tested by Driveline Baseball and the San Diego Padres Biomechanics Lab, and the tests show it delivers high-quality results in both cages and on the field.

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Theia unveils a video-only biomechanics system that tracks a hitter’s full swing without sensors or lab gear. (Photo by Lachlan Cunningham/Getty Images)

A new chapter in baseball biomechanics

Theia’s platform relies on deep-learning models trained on millions of movement data points. It captures the full 3D bat path, attack angle, sequencing and body motion in one workflow that teams can run with standard high-speed video. This makes advanced biomechanics more accessible to coaches and players who train in normal environments.

Dr. Arnel Aguinaldo of the PLNU Biomechanics Lab tested the system with the Padres. He said, “Theia’s markerless technology represents a breakthrough in how we capture and analyze swing mechanics. It removes the barriers of traditional setups, letting us gather quality swing data directly from the field or the cage. That’s a game changer for both research and applied development.”

Independent testing across more than 2,000 swings showed median bat-plane angle differences of less than 3 degrees compared with marker-based systems. As a result, teams can evaluate roster-sized groups in routine cage or field sessions without slowing players down.

Why video-only tracking works in real baseball settings

Many existing tools rely on sensors or suits that can change how an athlete moves. Marcus Brown, CEO of Theia, explained to CyberGuy why video-only tracking matters.

“Using only video means teams get lab-grade biomechanics data that previously required a full lab setup, but without special suits, reflective markers, or hardware mounted to the bat or the player,” he said.

The system runs in the background once cameras are placed and calibrated. Coaches record sessions as usual, and the analysis processes automatically. Because of this, training routines stay the same, and players move naturally.

Brown added, “Until now, full swing analysis meant choosing between bat-only tools or biomechanics labs that couldn’t scale. Our new markerless technology changes that. Teams can now see the complete swing picture for every hitter using one system in an environment that matches their individual needs.”

How AI bat and body tracking improves player performance

A complete swing view gives coaches the chance to link body motion to bat results. Brown described why this matters for player development.

“Theia’s new bat tracking feature helps players improve because it gives coaches a complete and more accurate picture of the swing. Many tools today either measure the bat or the body, and many rely on wearables or sensors that can influence how an athlete moves,” Brown said. “When coaches can connect a player’s sequencing, posture, timing, and rotation to the bat’s path, speed, and contact quality, they can identify the specific movement patterns that drive results. That makes mechanical adjustments more targeted and much easier to track over time, leading to more consistent and meaningful improvements.”

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Driveline Baseball and the Padres Biomechanics Lab report strong accuracy from Theia’s markerless tracking tests. (Photo by Matt McClain/The Washington Post via Getty Images)

What players experience when teams use Theia’s system

Players will not need to attach anything to the bat or their bodies. They swing in their regular training spaces without changing behavior. Brown said, “For athletes, the biggest change is the level of precise personalized feedback they get. Coaches can isolate whether an issue is coming from sequencing, posture, timing, or how the hitter is delivering the barrel to the ball. That level of detail helps translate mechanical work in the cage into more consistent, reliable results in the field.”

Independent testing shows consistent bat and body data

Driveline Baseball and the PLNU x Padres Biomechanics Lab tested the system in both professional and collegiate settings. Brown said, “Our work with Driveline and the PLNUxPadres’ Biomechanics Lab showed the system could deliver high-quality bat-and-body data in the same environments where hitters actually train. What those tests demonstrated was consistency: the ability to capture the full swing automatically, link the bat and body with the precision needed for player development, and fit seamlessly into a normal training session.”

Why Theia’s system fits seamlessly into normal cage sessions

Sports tech can create workflow friction, but Theia aims to avoid that. Brown said, “We designed the system so coaches can use it without changing anything about their normal training routine. Once the cameras are in place, coaches simply record the session the same way they normally would, and the analysis happens automatically in the background.”

There are no extra steps, no equipment put on the players, and no training interruptions.

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Coaches can now review 3D bat paths and body sequencing using standard high-speed video. (Photo by Thien-An Truong/Getty Images)

The road ahead for AI sports performance

Brown believes this breakthrough sets the stage for future innovation.

“Player development is ultimately about understanding what drives performance, and this technology gives coaches a far clearer way to see that,” he said. “When you can connect a player’s movement to the result of the swing with objective repeatable data, you can build training plans that are far more individualized and precise.”

He also added: “This work builds on more than a decade of research and over 50 peer-reviewed validation studies focused on highly accurate markerless human motion tracking. It reflects where the field as a whole is headed toward integrated markerless solutions that give athletes and coaches clearer insight with far less friction.”

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Kurt’s key takeaways

Theia’s new bat and body tracking system reshapes how baseball teams study movement. It gives coaches deeper clarity, provides athletes with natural training conditions, and removes the hardware hurdles that limited biomechanics in the past. Fans may also see long-term effects. This level of detail can influence how hitters develop power, attack angles and timing. Young players may gain personalized training guides that shape better habits earlier in their careers. As video-driven AI expands across sports, tools like this give teams more ways to understand performance.

If your favorite team had access to this level of swing insight, how do you think it would change their lineup development strategy? Let us know by writing to us at Cyberguy.com.

Kurt “CyberGuy” Knutsson is an award-winning tech journalist who has a deep love of technology, gear and gadgets that make life better with his contributions for Fox News & FOX Business beginning mornings on “FOX & Friends.” Got a tech question? Get Kurt’s free CyberGuy Newsletter, share your voice, a story idea or comment at CyberGuy.com.

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Technology

Apple’s website leaks MacBook ‘Neo,’ which could be its new cheaper laptop

Published

7 hours ago

March 3, 2026

Press Room

Apple’s website leaks MacBook ‘Neo,’ which could be its new cheaper laptop

During Apple’s week-long product launch event on Tuesday, a listing for the “MacBook Neo (Model A3404)” appeared on a regulatory compliance page on Apple’s website under its line-up of 2026 MacBooks. First spotted by MacRumors, the listing appears to be an accident and has since been removed, but may have been a leaked reference to a rumored entry-level MacBook. Unfortunately, it didn’t include any additional details beyond the device’s name and model number.

The lower price and an “entirely new design” could help the new MacBook appeal to students and casual users, competing with Chromebooks and low-cost Windows laptops. A more affordable MacBook could be especially appealing after Apple announced the M5 MacBook Air on Tuesday, which has a higher starting price than last year’s Air.

Technology

China’s compact humanoid robot shows off balance and flips

Published

8 hours ago

March 3, 2026

Press Room

China’s compact humanoid robot shows off balance and flips

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Humanoid robotics companies have already shown their machines can run at 22 mph, land backflips and even pull off front flips. So the new proving ground is not raw speed or acrobatics. It is control when something unexpected happens. That is where the EngineAI PM01 humanoid robot comes in.

In newly released footage, the compact humanoid keeps dancing after being deliberately pushed off balance. It performs a controlled forward slip, absorbs the disruption and smoothly regains rhythm within seconds. The motion looks fluid and surprisingly natural.

Then it lands another front flip, this time as part of a broader demonstration of balance and recovery.

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EngineAI pushes back on CGI skepticism as its PM01 humanoid robot demonstrates controlled recovery and dynamic motion. (Liu Lihang/Xinhua via Getty Images)

EngineAI PM01 humanoid robot shows advanced balance control

Speed gets attention. Recovery earns trust. When someone shoves the PM01, it does not freeze. It recalculates its center of mass, adjusts joint torque and corrects posture in real time. That level of control depends on tight coordination between sensors, actuators and AI algorithms. The front flip adds another challenge.

Front flips are typically harder than backflips. Rotating forward shifts the body weight ahead of the support base. That makes landings less forgiving. The EngineAI PM01 humanoid robot executes the move with coordinated arm swing, core stabilization and accurate landing mechanics. This is not about flashy tricks. It is about controlled dynamic motion under stress.

Why the compact size of the EngineAI PM01 matters

The PM01 stands just under 4 feet tall. That smaller build works to its advantage. A lower center of mass reduces tipping risk and requires less rotational force during flips. Its lighter structure also helps distribute impact forces more efficiently when it lands.

By comparison, EngineAI’s larger SE01 stands about 4 feet, 6 inches tall and weighs 88 pounds. The PM01 is roughly 10.5 inches shorter and about 17.6 pounds lighter. That size difference makes it more agile in research and development settings.

Full-sized humanoids face greater mechanical stress during high-impact maneuvers. They need stronger actuators, reinforced joints and heavier structural support to stay stable. Compact robots like the EngineAI PM01 can achieve advanced movement with less overall strain.

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The PM01 robot stands on display at EngineAI’s robot retail flagship store in Shenzhen, Guangdong Province of China. Newly released footage shows the PM01 humanoid absorbing a push and recalculating its center of mass within seconds. (VCG/VCG via Getty Images)

AI hardware powering the EngineAI PM01 humanoid robot

Under the hood, the EngineAI PM01 humanoid robot combines advanced perception with serious computing power. It uses an Intel RealSense depth camera for visual awareness and spatial mapping. A dual-chip setup integrates Nvidia Jetson Orin with an Intel N97 processor. That architecture supports real-time AI workloads and rapid balance correction when the robot is pushed or slips.

The robot features 24 degrees of freedom, including 12 joint motors. This design allows smooth coordinated movement across its limbs and torso. In the small humanoid segment, PM01 competes with models like the Unitree G1 and the Booster T1. It walks at up to about 4.5 miles per hour, faster than the T1, though still below some larger high-speed humanoid platforms built for sprint performance.

EngineAI appears less focused on headline-grabbing speed and more focused on refined stability and controlled motion.

EngineAI pushes back against CGI claims

As humanoid videos go viral, skepticism follows. EngineAI recently addressed CGI accusations by releasing footage of its T800 humanoid physically interacting with its CEO. The company clearly wants to demonstrate that its robots operate in the real world.

That credibility push matters. In a crowded robotics market, bold claims are common. Physical demonstrations help separate engineering progress from digital effects.

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The nearly 4-foot-tall EngineAI PM01 uses AI-powered sensors and joint motors to recover from slips and continue moving. (VCG/VCG via Getty Images)

What this means to you

Right now, this looks like a polished demo. However, balance and recovery are critical for real-world use. If humanoid robots are going to work in warehouses, hospitals or our homes, they must handle bumps, slips and unexpected contact without causing damage. A machine that can brace itself, fall safely and stand back up is far more practical than one that performs a single choreographed stunt. As humanoids move closer to everyday environments, resilience becomes just as important as athletic performance. The more stable they are, the more comfortable people will feel sharing space with them.

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Kurt’s key takeaways

Humanoid robots can already run fast, flip and move with serious athletic ability. What companies are racing to perfect now is something more practical: balance when things go wrong. The EngineAI PM01 humanoid robot shows how compact design and real-time correction can help a machine stay upright, recover quickly and keep moving without chaos. That kind of control matters far more in a crowded warehouse, hospital hallway or public space than a perfectly staged stunt. We are starting to see the shift from viral demo moments to robots built for everyday reliability. The real breakthrough is not the flip. It is what happens after the push.

When humanoid robots can absorb a shove, land a flip and get back to work without missing a beat, how close are we to seeing them in your neighborhood? Let us know by writing to us at Cyberguy.com.

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Technology

Anthropic upgrades Claude’s memory to attract AI switchers

Published

19 hours ago

March 2, 2026

Press Room

Anthropic upgrades Claude’s memory to attract AI switchers

Anthropic is making it easier to switch to its Claude AI from other chatbots with an update that brings Claude’s memory feature to users on the free plan, along with a new prompt and dedicated tool for importing data from other chatbots. These upgrades could allow users who have been using rivals like OpenAI’s ChatGPT or Google’s Gemini to quickly copy the data their preferred AI has collected on them and bring it over to Anthropic’s chatbot. That way, they don’t have to “start over” teaching Claude the context and history their previous chatbot already knows.

The option to import and export memories from Claude has been available since October, when Anthropic also rolled out the option for users to turn on Claude’s memory. Up until now, the memory feature was only available to users on paid Claude subscriptions, but now all Claude users can turn it on by going into “settings” then “capabilities.” This menu is also where users can find the new memory importing tool, which has users copy a pre-written prompt into their previous AI then copy the output from that prompt back into Claude’s importing tool.

Anthropic is introducing the upgraded memory importing tool as Claude is seeing a rise in popularity, driven by tools like Claude Code and Claude Cowork. Last month, Anthropic launched its new Opus 4.6 and Sonnet 4.6 models, which the company says are better at coding and completing complex tasks like working through a spreadsheet or filling out forms.

Anthropic has also been experiencing a spike in attention recently after pushing back against demands from the Pentagon to loosen the guardrails on its AI models, with the company stating publicly that they drew “red lines” around mass surveillance and fully autonomous lethal weapons.