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Since 2022, Spot from Boston Dynamics has been performing inspections at the Simmering power plant. It is the first quadruped robot used in Europe for routine power plant operations, reporting technical faults autonomously. Equipped with numerous sensor payloads, Spot helps to ensure the energy supply to more than 800,000 households in Vienna. Employees at the power plant operator Wien Energie affectionately call Spot “Energy Dog”

The task: Optimizing maintenance and safety at the Simmering power plant

Simmering is Austria’s largest power plant and generates electrical energy and district heating from various primary energy sources such as natural gas and biomass. The power plant is operated by Wien Energie and supplies over 800,000 households and 7,000 business customers with electricity, achieving an efficiency of 81 percent. With more than a hundred-year history, Simmering is not only one of Austria’s largest power plants, but among the oldest.

We are witnessing a professional revolution where the boundaries between man and machine slowly fade away, giving rise to innovative collaboration.

Photo by Mateusz Kitka (Pexels)

As Artificial Intelligence (AI) continues to advance by leaps and bounds, it’s impossible to overlook the profound transformations that this technological revolution is imprinting on the professions of the future. A paradigm shift is underway, redefining not only the nature of work but also how we conceptualize collaboration between humans and machines.

Two tech titans are now duking it out in the headset wars. Apple’s Vision Pro and Meta’s Quests offer different price points, different specs, and most importantly, different visions of the future of virtual reality. And both have big hurdles to clear. This week on TechCheck, why the headset battle is Apple’s to lose.

Chapters:
0:00 – Who will win the headset wars?
0:42 – The case for Apple.
5:35 – The case for Meta.
7:56 – The case for both… or neither.

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Aniai, a startup that has built a burger-grilling robot, Alpha Grill, said today it has raised $12 million, bringing its total raise to $15 million. The money will go toward launching its first manufacturing facility, Factory One, in South Korea. The firm will also be deploying a cloud-based AI software platform for the robot called Alpha Cloud.

Robot adoption in the restaurant business is becoming popular as it can help restaurants address their high pain points like labor shortages, and rising wage issues. Robotics enables restaurants to save 30% to 70% of labor costs, and restaurants could replace more than 80% of restaurant positions with robots, according to a research report.

“Burger chains hire six to eight kitchen staff per shift to grill burgers,” Aniai CEO Gunpil Hwang said. “Alpha Grill enables restaurants to engage only one staff member to grill burgers.”

Sam Altman made news again, with reporting from the Financial Times that the OpenAI CEO is engaged in discussions with key Middle Eastern investors and the Taiwanese chip giant TSMC to launch a new chip venture to design and build semiconductors for accelerating AI workloads.

At the heart of this venture is the ambitious plan to develop and fabricate chips integral for training and building AI models, reflecting the growing importance of custom hardware in the rapidly expanding field of AI.

Sam Altman is discussing establishing a new venture to develop specialized chips for AI applications with prominent Middle Eastern investors and Taiwan Semiconductor Manufacturing Co, TSMC.

The study, authored by five MIT researchers and titled Beyond AI Exposure, delves deep into the practicalities of replacing human labor with AI in the US, focusing on tasks that lend themselves to computer vision, such as those performed by teachers, property appraisers, and bakers.


Like many of us, you might find yourself nodding to a familiar digital doomsday chorus that vibrates through offices and coffee shops alike: AI will take my job!

Is this looming threat substantiated, or simply a manifestation of our shared anxiety in the wake of constant technological advancement? A new study from MIT CSAIL, MIT Sloan, The Productivity Institute, and IBM’s Institute for Business Value is set to challenge our long-held beliefs.

The integration of Artificial Intelligence (AI) in lead generation is transforming how businesses identify and engage with potential customers.


Lead generation, a crucial aspect of business development, is undergoing a significant transformation thanks to AI. By leveraging machine learning, natural language processing, and predictive analytics, AI tools can identify prospective customers more accurately and engage them in a more personalized manner. This shift not only increases the volume of leads but also improves their quality, enabling businesses to focus their efforts on the most promising prospects, Einstein from Salesforce is a leader in customer relationship management (CRM), has integrated AI into its platform through Einstein. This AI-powered tool analyzes customer data to predict buying behaviors and recommend the most promising leads. For instance, a marketing agency used Einstein to prioritize leads based on their likelihood to convert, resulting in a 30% increase in sales productivity. HubSpot’s AI Lead Scoring: HubSpot offers an AI lead scoring system that ranks leads based on their potential value to the business. By analyzing historical data and user interactions, it helps companies focus their efforts on leads with the highest conversion potential. A technology startup reported a 25% increase in lead conversion rates after implementing HubSpot’s AI tool.

In addition, we have Drift’s AI Chatbots. Drift utilizes AI-powered chatbots to engage website visitors in real-time. These chatbots can qualify leads by asking pre-programmed questions, allowing businesses to capture information and engage prospects 24/7. A retail company using Drift reported a 40% increase in qualified leads due to the AI’s ability to engage customers outside of regular business hours. Consider LinkedIn Sales Navigator which leveraging AI, helps businesses find leads by analyzing user profiles and activities on LinkedIn. It suggests potential leads based on a company’s customer preferences and search history. A financial services company credited Sales Navigator with a 20% increase in new client acquisitions.

Moreover, MarketMuse uses AI to analyze content and suggest topics that attract and engage the target audience. A content marketing agency using MarketMuse experienced a 50% increase in web traffic, leading to a higher volume of inbound leads. Then, we have IBM Watson’s Personality Insights: This is a tool that analyzes communication styles and personality traits. A business consultancy used this tool to tailor its communication strategy to each lead’s personality, resulting in a 35% higher engagement rate.