Category robotics

Johns Hopkins University engineers have developed a pioneering prosthetic hand that can grip plush toys, water bottles, and other everyday objects like a human, carefully conforming and adjusting its grasp to avoid damaging or mishandling whatever it holds.

The graphics card market has been a rollercoaster in recent years, with skyrocketing prices and supply shortages leaving gamers frustrated. Enter AMD’s latest offering, the Radeon RX 9070 XT, alongside its sibling, the RX 9070. Launching on March 6, 2025, these GPUs promise to shake up the mainstream segment with competitive pricing, impressive performance, and...

The post AMD Radeon RX 9070 XT: A Game-Changer in the GPU Market? appeared first on 1redDrop.

NVIDIA just reported financials that showcase stunning growth in the AI space despite earlier concerns that DeepSeek’s emergence represented some kind of existential threat to the company. This position of weakness was never well founded given DeepSeek ran on older […]

The post NVIDIA Results and Blackwell DeepSeek Success Showcase AI Concerns About NVIDIA Were Unfounded appeared first on TechSpective.

Every CFO knows the pressure of making high-stakes financial decisions with limited visibility. When cash flow forecasts are off, businesses scramble, relying on costly short-term loans, missing financial targets, and struggling to optimize working capital.

Yet, most forecasting tools rely on static assumptions, forcing finance teams to react rather than plan strategically.

This outdated approach leaves businesses vulnerable to financial instability. In fact, 82% of business failures are due to poor cash flow management. 

AI-powered forecasting changes that dynamic, enabling CFOs to anticipate cash flow gaps before they become financial setbacks.

The cash flow blind spot: Where forecasting falls short

Cash flow forecasting challenges cost businesses billions. Nearly 50% of invoices are paid late,  leading to cash flow gaps that force CFOs into reactive borrowing.

Without real-time visibility, finance teams struggle to anticipate cash availability, respond to fluctuations, and prevent shortfalls before they become a crisis.

Yet, many organizations still rely on manual reconciliation processes that can take weeks, pulling data from disparate sources and leaving little time for strategic decision-making. By the time reports are finalized, the information is already outdated, making it impossible to plan with confidence.

The consequence is inaccurate forecasts that lead to last-minute borrowing, unplanned interest expenses, and heightened financial risk.

Instead of proactively managing cash flow, CFOs are left scrambling to plug financial gaps.

To break this cycle, finance leaders need a smarter, more dynamic approach that moves at the speed of their business instead of relying on static reports.

How AI transforms cash flow forecasting

AI has the power to give CFOs the clarity and control they need to manage cash flow with confidence.

That’s why DataRobot developed the Cash Flow Forecasting App.

It enables finance teams to move beyond static reports to adaptive, high-precision forecasting, helping them anticipate risks and opportunities with greater confidence.

By analyzing payer behaviors and cash flow patterns in real time, the app improves forecast accuracy, allowing finance leaders to:

• Anticipate cash availability
• Optimize working capital
• Reduce reliance on short-term borrowing. 

With better visibility into future cash positions, CFOs can make informed decisions that minimize financial risk and improve overall stability.

Let’s look at how a leading company leveraged AI-driven forecasting to improve financial performance.

How DataRobot is improving cash flow at King’s Hawaiian 

For Consumer Packaged Goods companies like King’s Hawaiian, cash flow forecasting plays a critical role in managing production, supplier payments, and overall financial stability. 

With sales spanning grocery chains, online platforms, and retail channels, fluctuations in cash flow can lead to significant disruptions, from production delays to strained supplier relationships, and even increased borrowing costs.

To improve forecasting accuracy and better manage working capital, King’s Hawaiian implemented DataRobot’s Cash Flow Forecasting App.

Using AI-driven insights, the company refined its forecasting process and saw measurable improvements, including:

• 20%+ reduction in interest expenses. More accurate forecasting reduced reliance on last-minute borrowing, lowering overall financing costs.
  

• Improved cash flow visibility. Finance teams had a clearer view of cash reserves, allowing for better short-term planning and decision-making.

• Operational stability. With better forecasting, the company was able to prevent funding gaps that could disrupt production and distribution.

More precise cash flow predictions helped King’s Hawaiian reduce financial uncertainty and improve short-term planning, enabling the finance team to make more informed decisions without relying on reactive borrowing.

Getting an edge with adaptive, AI-driven forecasting

Traditional forecasting tools rely on rigid assumptions. AI-driven forecasting learns from actual payer behavior, continuously refining predictions to reflect real financial conditions.

This approach improves forecasting precision down to the invoice level, helping CFOs anticipate cash flow trends with greater accuracy.

AI-driven forecasting helps your team:

• Reduce payment risks. Identify potential late or early payments before they impact cash flow.
  
  
• Eliminate billing blind spots. Compare forecasts to actuals to spot discrepancies early.
  
  
• Optimize inflows. Gain real-time visibility into expected cash movement.
  
  
• Lower short-term borrowing. Reduce reliance on last-minute loans by improving forecast accuracy.
  
  
• Control free cash flow. Adjust spending dynamically based on predicted cash availability.
  

By seamlessly integrating with systems like SAP and NetSuite, AI eliminates the need for manual data pulls and reconciliation, letting finance teams focus on strategic, proactive decision-making.

Good CFOs plan. Great CFOs use AI.

To transition from reactive to proactive financial operations, businesses must embrace AI-driven forecasting.

With AI, CFOs gain the ability to predict cash flow gaps, optimize working capital, and make faster, more precise financial decisions, all of which drive greater financial stability, security, and efficiency.

Take control of your cash flow management and improve forecasting—book a personalized demo with our experts today.

The post Improving cash flow: The AI advantage in financial forecasting appeared first on DataRobot.

AI-Driver of Politecnico di Milano Sets New Autonomous Speed Record with Indy Autonomous Challenge Maserati MC20 Coupe, reaching 197.7 mph (318 km/h), during the 1000 Miglia Experience Florida, at Kennedy Space Center.

Soilless growing systems inside greenhouses, known as controlled environment agriculture, promise to advance the year-round production of high-quality specialty crops, according to an interdisciplinary research team. But to be competitive and sustainable, this advanced farming method will require the development and implementation of precision agriculture techniques. To meet that demand, the team developed an automated crop-monitoring system capable of providing continuous and frequent data about plant growth and needs, allowing for informed crop management.

Apple has refreshed its iPad lineup with notable upgrades to the iPad Air and the basic iPad, making both devices more powerful without increasing their price. While the M2 chip in the new iPad Air grabs headlines, the real game-changer is the entry-level iPad, which now offers improved storage and a better processor for the...

The post Apple’s Latest iPad Upgrades: Why the Entry-Level iPad is the Real Winner appeared first on 1redDrop.

Apple has refreshed its iPad lineup with notable upgrades to the iPad Air and the basic iPad, making both devices more powerful without increasing their price. While the M2 chip in the new iPad Air grabs headlines, the real game-changer is the entry-level iPad, which now offers improved storage and a better processor for the...

The post Apple’s Latest iPad Upgrades: Why the Entry-Level iPad is the Real Winner appeared first on 1redDrop.

Researchers have demonstrated that multicolored stickers applied to stop or speed limit signs on the roadside can 'confuse' self-driving vehicles, causing unpredictable and possibly hazardous operations.

A research team has recently developed a groundbreaking neuromorphic exposure control (NEC) system that revolutionizes machine vision under extreme lighting variations. This biologically inspired system mimics human peripheral vision to achieve unprecedented speed and robustness in dynamic perception environments.

HP's MJF helps engineers develop industrial prototypes, incorporate real-world feedback, develop a new channel and ultimately launch their new product up to one year faster

Aibo, the cute-looking robot puppy developed by Sony, was designed to be a household companion. The robot can already emulate many of the movements and behaviors of real dogs, such as walking on four legs, responding when it is called by its name, reacting to toys, performing tricks and responding to cuddles.

Inspection robots, which are one of the most common application of autonomous mobile robots, are being deployed more often every day. In the press release below from ANYbotics of CA, USA, a system called “Data Navigator” is introduced.

Image Credit: Anybotics – www.anybotics.Com

Image Credit: Anybotics – www.anybotics.Com

ANYbotics Press Release:

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ANYbotics Launches Data Navigator: Unlocking the Value of Robotic Inspection Data for Energy, Metals, Mining, Oil & Gas Industries

Zurich, Switzerland – ANYbotics, a global leader in AI-driven robotic inspection solutions, today announced the launch of Data Navigator, a new asset management platform that empowers businesses to harness the full potential of inspection data. Data Navigator transforms data collected by ANYmal robots into actionable insights, providing a comprehensive view of asset health and enabling preventive maintenance strategies that minimize downtime and optimize operations.

In industries like Energy, Metals, Mining, Oil & Gas, where asset integrity is paramount, Data Navigator offers a critical advantage. By centralizing multiple key asset condition data types, such as thermal, acoustic, visual, and gas readings, the platform simplifies asset health assessments and provides trend monitoring for preventive maintenance. This allows companies to predict potential failures before they occur, saving significant time and resources.

Data Navigator’s intuitive interface requires no specialized robotics expertise, ensuring broad accessibility across teams. Its flexible deployment options, including on-premise (local and air-gapped—no internet required) and cloud, seamlessly integrate with existing IT infrastructure while maintaining robust data security. Data Navigator enables rapid validation of ANYmal deployments, providing immediate asset insights from robotic inspection data. The solution is ready to use out-of-the-box and can integrate with enterprise systems like SAP and IBM when required.

“Robotic inspection offers maximum value when the resulting data is readily available and actionable to those who need it most: the maintenance and reliability teams responsible for asset management and critical infrastructure,” says Péter Fankhauser, co-founder and CEO of ANYbotics. “Data Navigator is the key to unlocking that value, providing seamless access to asset health insights generated by ANYmal robots. Data Navigator empowers teams to monitor trends and make informed decisions, optimize maintenance schedules, and ultimately ensure continued plant uptime and the efficiency of operations.”

Key Features of Data Navigator:

• Asset-centric approach: Consolidates and centralizes access to multiple, relevant data types for a holistic understanding of asset health.
• Flexible deployment: Supports diverse infrastructure requirements with a range of flexible deployment options, while ensuring data security.
• Intuitive interface: ensures critical data is accessible to all approved users, regardless of technical expertise, requiring no specialized training.
• Ready to go: Out-of-the-box, easy-to-use solution enables users to gain immediate asset insights and a rapid path to realizing the transformative benefits of ANYmal robotic solutions. The platform can also integrate with enterprise systems as needed.
• Historical data analysis: Provides comprehensive access to historical data, enabling users to compare and identify trends around asset performance.
• Improved data access: Data-driven insights enable more effective maintenance planning and resource allocation, reducing costs and maximizing asset lifespan. 
• Increase Operational Efficiency: Access to high-frequency, objective, and repeatable data eliminates guesswork in decision-making, leading to increased operational efficiency.

Recent successful pilot programs with three leading industrial companies showcased Data Navigator’s capabilities. The platform analyzed over 2,500 ANYmal inspections in two weeks, providing valuable asset health insights. Both on-premise and cloud deployments were rapid and seamless, with on-premise integrations becoming operational within hours. Data Navigator’s intuitive design also meant that maintenance teams did not require any specialized training to use it immediately. 

Dominik Baumgartend, Maintenance Engineer, Grace, says: “Data Navigator is very intuitive and easy to use for everyone. Every team—from maintenance to electrical and mechanical —can filter and access the insights they need.”

Thorsten Piniek, VP Health and Safety, Outokumpu, says: “Data Navigator will allow us to compare historical data, see trends, and get warnings based on anomalies. This will allow us to schedule and prioritize necessary maintenance work before failures occur.”

Patrik D’Allens, Head Technical Services, DSM-Firmenich, says: “To us it was important that the data stays on our servers. We installed Data Navigator as an on-premise, air-gapped solution for data privacy, keeping data secure on-site.”

About ANYbotics

ANYbotics, a global leader in AI-driven robot inspection solutions, tackles critical industry challenges in safety, efficiency, and sustainability. Designed for the toughest industrial environments, ANYbotics’ ANYmal robots excel in autonomous operations, advanced mobility, and real-time data collection, making them ideal for tasks such as routine inspections, remote operations, or predictive maintenance. Trusted by hundreds of industry leaders in energy, power, metals, mining, and chemicals worldwide, ANYbotics aims to augment industrial workforces with autonomous robots, addressing labor shortages and keeping workers out of harm’s way. Supported by over $130M in funding from leading European and Silicon Valley investors and a 200-expert team, ANYbotics has been shaping the future of industrial automation since 2009 with offices in Zurich and San Francisco. To learn more about how you can use ANYmal to transform your industrial operations, visit our website at anybotics.com.

Image Credit: Anybotics – www.anybotics.Com

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Press release by: ANYbotics

A New Powerhouse in AI: Anthropic’s Meteoric Rise Anthropic, an Amazon-backed artificial intelligence startup, has firmly cemented its place as a key player in the AI industry. Following a fresh $3.5 billion funding round led by Lightspeed Venture Partners, the company now boasts a staggering post-money valuation of $61.5 billion. With this significant capital infusion,...

The post Anthropic’s $61.5 Billion Valuation: The AI Arms Race Intensifies appeared first on 1redDrop.

With businesses across industries striving to optimize operations, increase efficiency, and reduce costs, robotic software is becoming a crucial component of modern industrial and service applications.