PART 2 OF 2: REVOLUTIONIZING ENERGY MANAGEMENT: How AI is rapidly advancing smart energy grid engineering

September 18, 2024

SMART energy grid engineering is advancing rapidly, central to the global shift towards sustainable energy. Integrating technologies like artificial intelligence, machine learning, and big data analytics, smart grids modernize traditional power systems to improve efficiency, reliability, and renewable energy integration.

Last week we outlined some examples of the utilization of AI is smart grid engineering. This week we continue AI and the smart grid.

German energy company E.ON uses AI to forecast the generation of its renewable energy assets. Their AI models predict solar and wind generation, helping grid operators balance electricity supply and demand and integrate renewable sources seamlessly.

AI not only predicts energy generation but also optimizes the performance of renewable energy assets. Machine learning algorithms monitor the condition of solar panels and wind turbines, scheduling maintenance and optimizing performance to maximize energy output and asset longevity.

Iberdrola, a major Spanish utility, employs AI to manage its renewable energy portfolio. The company uses AI to monitor and optimize the performance of wind turbines, enhancing operational efficiency and reducing downtime, contributing to a more resilient and efficient renewable energy grid.

Accurate demand forecasting is crucial for managing energy generation, distribution, and storage. AI enhances the ability of utilities to forecast energy demand by analyzing various factors such as historical consumption data, weather conditions, and even socio-economic trends. This capability allows energy providers to adjust their operations to meet demand without overproducing or underdelivering.

Machine learning models use a variety of datasets to forecast energy demand more accurately than traditional methods. By incorporating weather data, historical consumption patterns, and grid data, AI predicts demand surges and enables utilities to optimize power generation and distribution accordingly.

Japan’s TEPCO uses AI for advanced demand forecasting. AI models integrate real-time weather data and customer behavior to predict energy demand, allowing the utility to optimize its energy production and reduce waste, particularly in peak demand periods.

Governments and utilities are using AI to model future energy scenarios, assessing the impact of various renewable energy sources on the grid and planning infrastructure upgrades. AI-driven simulations enable stakeholders to make informed decisions about energy policy and investment.

The State Grid Corporation of China uses AI to plan the integration of renewable energy into the grid. AI models help the utility assess the best locations for new renewable energy projects and optimize grid infrastructure to accommodate the growing share of renewables.

As the world moves towards decarbonization, AI plays a pivotal role in monitoring emissions, optimizing energy use, and reducing the carbon footprint of energy production. AI systems help identify inefficiencies in energy use and suggest solutions for reducing emissions.

CarbonTracker uses AI to monitor global CO2 emissions in real-time, allowing utilities and governments to track their decarbonization progress. AI tools analyze satellite data to estimate emissions from power plants, providing insights that help reduce carbon footprints.

For offshore wind energy, AI plays a vital role in turbine performance optimization by adjusting settings based on real-time weather conditions. It also aids in predictive maintenance, preventing costly breakdowns by detecting faults or wear early on.

í˜rsted, a leader in offshore wind energy, uses AI to predict wind flows and optimize turbine performance. This increases the overall efficiency of their offshore wind farms. This optimizes the performance of wind turbines by adjusting their settings based on real-time weather conditions. Machine learning models can predict wind patterns, allowing turbines to adjust blade angles and rotation speeds for maximum energy output.

Siemens Gamesa employs AI to monitor offshore wind turbines, analyzing vibration and temperature data to predict potential failures before they happen. In current offshore wind farms, AI is instrumental in managing the integration of offshore wind energy into power grids, balancing energy production and demand.

With increasing adoption across the globe, AI is set to play an indispensable role in helping the energy sector meet the challenges of the 21st century, ensuring reliable energy delivery while supporting global decarbonization goals.

AT THE NATIONAL CORVETTE MUSEUM: My unexpected ‘conversion’

Gregory E. Bautista

September 17, 2024

The first fiberglass-body, Harley Earl-designed Corvette was released in 1953. (Photo by author)

I’ll be the first to admit, the Chevrolet Corvette never held a special place in my heart.

As an automotive journalist, I appreciate a well-engineered car, but the Corvette always struck me as a bit ostentatious. It was the car of the weekend warrior, the midlife crisis poster child. I knew it was a race car, was a movie star and an endurance racing champion.

But all that never inspired genuine passion in me as did the Shelby AC Cobra, the Ford Mustang and the Nissan GT-R.

When I moved to Indiana last year, the National Corvette Museum in Bowling Green, Kentucky, was a mere 167 kilometers–just an hour and 30 minutes away–it was so very close. But I had no reason to visit. That was until my dad visited me last week. As I built my itinerary for places to bring him to, the museum was top of the list.

Walking into the museum, I half-expected a shrine to Americana, filled with flag-waving and bravado. What I found instead was a surprisingly nuanced and engaging tribute to a car that has evolved far beyond its initial conception.

The first exhibit that caught my eye was the first Corvette ever built–General Motors Motorama show car–first exhibited at the Waldorf Astoria in January of 1953. Only 300 were hand built and all on a special line. It was available only in Polo white with Red bucket seat interior trim.

Just beside that first car is a shrine dedicated to Harley Earl, the “father of the Corvette.”

He wasn’t content with merely following trends; he set them. Inspired by the sleek European sports cars he encountered after World War II, he envisioned an American counterpart that would embody speed, style, and freedom. His passion project, initially code-named “Project Opel,” was developed in secrecy, a testament to Earl’s determination to bring his vision to life.

Collaborating with Ed Cole at Chevrolet, Earl ensured the Corvette found its perfect home, injecting excitement into the brand’s lineup. When the Corvette debuted at Motorama in 1953, it was an instant sensation, capturing the hearts of car enthusiasts and solidifying its place in automotive history.

Then there is Zora Arkus-Duntov, the legendary engineer who made the Corvette the sports car we know today. He isn’t the father of the Corvette, as many automotive writers have written. As I read about his tireless efforts to improve the car’s performance and handling, I began to see the Corvette in a new light. It wasn’t just a flashy toy; it was a testament to Duntov’s unwavering pursuit of excellence. He is thus the “father of the performance Corvette.”

Further into the museum, I stumbled upon the Mako Shark II concept car, a stunning creation that epitomized the Corvette’s bold design language. Designed by Larry Shinoda, this car was a radical departure from the Corvettes of its time, and it paved the way for the iconic C3 generation. I found myself captivated by its sleek lines and aggressive stance, a testament to Shinoda’s visionary talent.

Just a stone’s throw away from the museum lies the Bowling Green Assembly Plant, the exclusive birthplace of every Corvette since 1981. First made GM’s plant in Flint, Michigan starting 1953. It then moved to St. Louis, Missouri in 1954 until 1980. Bowling Green has produced over a million of these iconic sports cars, each one a testament to the passion and innovation that define the Corvette legacy.

As I wandered through the museum’s galleries, I couldn’t help but notice the Corvette’s remarkable evolution. From the early C1 models, with their charming but somewhat rudimentary design, to the cutting-edge C8, the Corvette has consistently pushed the boundaries of automotive engineering and design. It was a journey that mirrored the American spirit itself: bold, innovative, and always striving for something better.

At 5:39 a.m. on February 12, 2014, a security camera captured a sudden and dramatic collapse of the floor of the Skydome exhibit area, where some of the museum’s most prized Corvettes were displayed. The ensuing 30-foot deep, 40 by 60-foot wide sinkhole swallowed eight cars. The event shocked the automotive world and remained in the news for several weeks after.

The “Ground to Sky: The Sinkhole Reimagined,” exhibit is a somber reminder of the gruesome tale was created and offered a unique perspective on the car’s enduring appeal.

Seeing those damaged vehicles, some restored, and others left in their raw state, evoked a mix of emotions. The bold decision to display five of the damaged cars tells the story of the sinkhole, from the initial collapse to the recovery efforts, and educates visitors about karst geology. It’s a powerful reminder of the forces that shape our planet and the fragility of even our most prized possessions.

By the time I reached the end of my visit, my skepticism had melted away.

I left the National Corvette Museum with a newfound appreciation for the car and the people who poured their hearts and souls into its creation. The Corvette wasn’t just a symbol of American excess; it was a testament to the power of innovation, the pursuit of excellence, and the unwavering belief in the American dream. I realized why the Corvette is as American as hot dogs, baseball, and apple pie.

PART ONE OF TWO: REVOLUTIONIZING ENERGY MANAGEMENT: How AI is optimizing energy production and distribution

Gregory E. Bautista

September 11, 2024

AI can transform the power grid by management and optimizing both production and distribution. (Image prompt engineered and AI-generated using Gemini Advanced with Imagen3 upgrade)

ARTIFICIAL Intelligence (AI) is playing a pivotal role in transforming the global energy sector, enhancing the efficiency of energy management, optimizing power grids, and improving the integration of renewable energy sources.

Part of the discussions at the recent International Conference on Smart Energy Grid Engineering (SEGE), hosted by and held at the Ontario Tech University last August touched on this topic.

The rise of smart grids, the need for more accurate demand forecasting, and the increasing penetration of renewable energy have created an urgent demand for advanced technologies like AI. This article delves into the technical applications of AI in the energy sector, highlighting real-world examples and exploring the broader impact on grid optimization, predictive maintenance, and sustainable energy transition.

The modern power grid is an intricate network of generation, transmission, and distribution systems, requiring precise control and optimization to ensure reliable energy delivery. Traditional grid management faces challenges such as fluctuating energy demand, unpredictable weather patterns, and the intermittency of renewable energy sources. AI addresses these challenges through advanced algorithms that optimize grid performance in real-time.

AI algorithms are used to optimize the flow of electricity through power grids by balancing supply and demand in real-time. Machine learning models analyze historical and real-time data from sensors embedded in grid infrastructure to predict fluctuations in demand and supply. This leads to improved grid stability, enhanced load distribution, and reduced energy losses.

The UK’s National Grid has partnered with Google’s DeepMind to explore how AI can optimize energy distribution. DeepMind’s AI algorithms predict electricity demand and supply, enabling more efficient energy dispatch and grid balancing, which reduces operational costs and carbon emissions.

Power grids consist of millions of interconnected components, from substations to transformers. Regular maintenance of this infrastructure is crucial to prevent blackouts and other operational failures. AI’s predictive maintenance capabilities analyze data from these components, identifying potential failures before they occur.

GE uses AI for predictive maintenance of its wind turbines. Its Predix platform employs AI to monitor turbine performance, analyze operational data, and predict equipment failures, minimizing downtime and maintenance costs while improving overall energy production efficiency.

Smart grids represent the next generation of electricity networks, characterized by the integration of digital technologies like AI, the Internet of Things (IoT), and big data analytics. Smart grids can incorporate distributed energy resources (DERs), such as rooftop solar panels, electric vehicles, and home batteries, which AI optimizes by managing energy flow, minimizing waste, and balancing loads across the network.

The Siemens Microgrid in Brooklyn, New York is an AI-powered microgrid in Brooklyn, allowing peer-to-peer energy trading among consumers. The AI system optimizes local energy resources, integrating renewable generation with grid demand, thus lowering operational costs and improving energy security.

The intermittency of renewable energy sources, such as solar and wind power, poses a significant challenge to grid operators. AI plays a critical role in managing this variability by forecasting renewable energy generation and adjusting grid operations accordingly. Machine learning models predict solar and wind output based on weather data, ensuring a stable supply of renewable energy into the grid.

AI’s capacity to analyze vast datasets allows it to forecast the output of solar panels and wind turbines with high accuracy. By combining historical data with real-time weather data, AI systems predict energy generation, reducing the uncertainty associated with renewable energy integration. (To be continued next week)

Sentra Cup debuts in the US

Gregory E. Bautista

September 3, 2024

North America model Sentras roaring down Lime Rock Park raceway.

GROWING up in the Philippines, I was often at the Subic International Raceway watching the Sentra Series III One Make Races with my dad. It was thus a delight for me to find out that nearby was the Nissan Sentra Cup happening at the iconic Lime Rock Park.

The Nissan Sentra Cup, a grassroots racing series known for its competitive spirit and accessibility, made a historic debut at the iconic racetrack last July. This marked the first time the Canadian-led series ventured into the United States, thrilling fans with the sight of everyday Nissan Sentras transformed into bona fide race cars.

Accessible to all, the Sentra Cup offers one of the lowest running costs of any Canadian motorsports series. It is Canada’s longest-tenured automotive manufacturer-led series and now, the first to compete in the U.S.

“It has been a goal of ours, for years, to compete in the U.S. and specifically historic Lime Rock,” said Jacques Deshaies, promoter for JD Promotion & Competition. “When I announced to the drivers we’re coming here, everyone was ecstatic. It is a monumental weekend for the series.”

Spectators were amazed to witness their familiar, everyday cars zipping around the challenging 1.5-mile road course. The Sentra Cup, competing alongside two other series at the Lime Rock SpeedTour, showcased the potential of the Nissan Sentra as a competitive racing platform.

This one-make series, where all competitors drive identical vehicles, levels the playing field, allowing individual skill to shine through. With its roots in the Nissan Micra Cup, the Sentra Cup has evolved into a premier grassroots racing platform in Canada and is now making its mark in the US.

The series attracts a diverse range of drivers, from aspiring professionals to seasoned enthusiasts, all united by their passion for motorsports. The competition is fierce, with drivers pushing their Sentras to the limit, resulting in thrilling battles for position and close finishes.

The successful debut at Lime Rock Park has fueled anticipation for future Sentra Cup races in the United States. Organizers have already confirmed their intention to return, further expanding the series’ reach and influence.

For Nissan, the Sentra Cup serves as a powerful platform to engage with enthusiasts and consumers at a grassroots level. It showcases the performance potential of the Nissan Sentra and generates excitement around the brand’s sedan lineup. As the series continues to grow and expand, it solidifies its position as a unique and accessible entry point into the world of motorsports.

ASIDE FROM MASSIVE IDENTITY THEFT: Fears from the digital afterlife come true

Gregory E. Bautista

August 28, 2024

The digital afterlife is not merely a technological phenomenon. (Image prompt generated using Chat-GPT Dall-E)

IN THE vintage past, the manipulation of the deceased was limited to casting votes or even hiring them as “ghost employees” for fraudulent gains. These forms of identity theft continue however, on a larger scale and on different online platforms–including social media, emails and even messaging apps.

Privacy rules allow people to ‘disappear’ and their digital footprints are becoming increasingly indelible, this new frontier of ethical dilemmas or even cybercrime is emerging in the ‘digital afterlife.’

The emergence of the digital afterlife is not merely a technological phenomenon; it is a profound reflection of our evolving relationship with technology, memory, and mortality. As AI continues to advance, and our digital footprints become increasingly intricate, we are confronted with a host of ethical complexities that demand our attention.

The potential for misuse and exploitation of digital identities after death is a pressing concern. Identity theft, digital haunting, and the manipulation of personal data are just a few of the risks that loom large in this new landscape. The emotional toll on grieving individuals who may be subjected to unwanted interactions with AI simulations of their deceased loved ones is another critical consideration.

A recent Kaspersky’s study titled “Excitement, Superstition, and Great Insecurity — How Global Consumers Engage with the Digital World,” reveals a stark reality: 61 percent of consumers believe the identities of the deceased are particularly vulnerable to identity theft.

This vulnerability stems from the lack of oversight once an individual passes away, leaving their digital information susceptible to exploitation. The study also notes a division in public opinion regarding the use of AI to recreate online presences of the deceased. While 35 percent find it acceptable, a larger portion (38 percent) actively opposes it, highlighting the ethical complexities surrounding this technology.

The recent study reveals (61 percent) consumers believe the identities of the deceased are particularly vulnerable to identity theft. As for the recreation of ones’ online presence using artificial intelligence (AI), 35 percent of respondents find it acceptable, while a larger portion (38 percent) actively disagrees, highlighting the unresolved issues of privacy and respect in the digital realm.

A University of Cambridge research and corroborated by Kaspersky’s study, point toward a growing apprehension about the potential misuse of digital identities after death. The Cambridge research specifically warns of the potential psychological harm and even “digital haunting” that could arise from the unchecked proliferation of AI chatbots designed to simulate conversations with the deceased.

Rapi d digitalization, with 95 percent of internet users now on social media and 282 million new users joining in the past year alone, amplifies these concerns. As our digital footprints grow, so do the challenges of ensuring privacy, respecting legacy, and using digital identities ethically.

The convergence of these trends – the increasing sophistication of AI, the exponential growth of digital data, and the unease surrounding the digital afterlife – calls for a critical examination of the safeguards necessary to navigate this new terrain.

The Cambridge research makes a compelling case for the implementation of design safety protocols within the burgeoning “digital afterlife industry.” These protocols should prioritize the dignity of the deceased and protect the rights of both the data donors (the deceased) and those interacting with AI afterlife services.

Kaspersky echoes this call for proactive measures. Their recommendations emphasize the importance of employing robust security solutions, keeping software updated, and limiting the amount of personal data shared online. These measures, while crucial for protecting individuals during their lifetime, also play a pivotal role in safeguarding their digital legacy after death.

The digital afterlife is not merely a technological issue; it’s a profound human one. It forces us to confront fundamental questions about identity, memory, and legacy in an increasingly digital world. It is only through thoughtful and proactive measures that we can ensure that the digital afterlife serves as a meaningful extension of our lives, rather than a source of exploitation or distress.

Are electric vehicle fires common?

Gregory E. Bautista

August 13, 2024

An AI-generated representation of a burning TESLA from onlinesafety.com

ELECTRIC vehicle (EV) fires, are comparatively infrequent compared to fires from internal combustion engine (ICE) vehicles, but reports capture significant attention due to the unique challenges they present in firefighting and safety.

Statistically, compared to internal combustion engine vehicles, EVs are statistically less likely to catch fire. Studies indicate an EV fire rate between 0.0012 percent and 0.02 percent, while ICE vehicles have a higher reported fire rate of around 0.1 percent, according to a report from e-vehicleinfo.com. Despite this lower frequency, EV fires can be more intense and prolonged due to the thermal runaway phenomenon in lithium-ion batteries, posing unique challenges for first responders.

The primary causes of EV fires often stem from battery issues, with thermal runaway being the most common culprit. This is a chain reaction within the battery that results in uncontrolled heat and fire, which can be triggered by manufacturing defects, damage from accidents, overcharging, or exposure to extreme temperatures. Charging-related issues, such as faulty equipment or improper practices, also contribute to the risk of fire, as do severe collisions that can damage the battery. Other less common causes include arson, electrical system faults, and external fires spreading to the vehicle.

The world’s largest EV market, China, has witnessed a concerning increase in fire-related incidents involving their new energy vehicles (NEVs). According to the Chinese Fire and Rescue Department, 3,640 electric vehicles caught fire in the first quarter of this year, representing a 32 percent increase compared to previous periods. This alarming statistic translates to an average of seven electric vehicles catching fire daily.

Several brands have been involved in these incidents. Notably, an AITO M5, the first Harmony OS-powered electric vehicle, caught fire in Mongolia, resulting in two fatalities due to carbon monoxide poisoning. Other incidents include explosions of brand-new electric vehicles while charging, involving brands like Ora, owned by Great Wall Motors.

Even BYD, China’s largest NEV manufacturer, has not been immune, with a reported 11 fire-related incidents between 2020 and 2022. Other brands like Li Auto, Xpeng, and NIO have also experienced fire incidents, though to a lesser extent.

Globally, EV fires have been reported in various regions. South Korea experienced higher incidences, potentially due to rapid EV adoption and differences in charging infrastructure and safety standards. Recent incidents, such as a Mercedes-Benz EV fire in an Incheon apartment complex, have heightened public concerns about the safety of these vehicles.

One incident of an EV fire occurred on February 13, 2023, in Sacramento, California, involving a Chevrolet Bolt EV. The vehicle caught fire while parked in a driveway, shortly after the owner had charged it. Firefighters faced challenges extinguishing the fire due to the thermal runaway in the battery, which required a significant amount of water.

The battery fires were traced back to a manufacturing defect in battery modules supplied by LG, causing shorts in battery cells. The issue affected Bolts with cells manufactured in both South Korea and Michigan. In 2021, GM initiated a global recall of all Bolts costing the company $1.8 billion and subsequently stopped production of the EV. GM remains committed to its electric vehicle ambitions, with plans to phase out gas-powered cars by 2035 and invest $35 billion in expanding its EV lineup.

As a result, several Chevrolet Bolt owners filed a lawsuit, in GM in 2020. The suit alleged that GM sold vehicles with defective batteries, leading to spontaneous fires in some cases.

Under the settlement, Bolt owners who installed specific software to address the battery issue can receive $1,400 in compensation. Those who sold or leased their vehicles before the software fix are eligible for a $700 payment.

In response to these concerns, automakers are actively working to improve battery technology and safety systems. Fire departments worldwide are also adapting their training and equipment to better handle EV fires.

Research and development efforts are ongoing, focusing on safer battery chemistries and more robust thermal management systems. Despite the challenges, the overall safety record of EVs remains strong, and they continue to play a crucial role in the transition to sustainable transportation.

As the landscape of EV fires continues to evolve, ongoing safety research and development remain vital to ensuring public confidence in this transformative technology.

A DRIVERLESS ADVENTURE: Chauffeured without a driver

Gregory E. Bautista

August 6, 2024

Look Ma, no driver!

I ARRIVED in Los Angeles from my homebase in New Albany, Indiana with a sense of anticipation and a touch of trepidation. I wasn’t here to test drive a car, I was here to test ride one–with friends, going to a wedding.

I had just missed Waymo’s free driverless taxi service by two days, but the idea of experiencing this cutting-edge technology firsthand was too tempting to resist. I knew I had to give it a try, even if it meant paying for the privilege.

After downloading the Waymo One app and joining the waitlist, I was thrilled when I received an invite code within a few hours. My heart raced as I requested my first ride, choosing a pickup point near my hotel in Santa Monica.

A few minutes later, a sleek white Jaguar I-Pace with the Waymo logo pulled up. As I approached, the car’s sensors whirred and blinked, seemingly assessing me before unlocking its doors. Hesitantly, I slid into the front seat, my mind a jumble of excitement and nervousness. I chose the front so I could document as much as I can from this experience.

There was no chauffeur, just an eerie empty seat and a steering wheel that moved on its own. A screen on the back of the front seat displayed a map of my route and estimated time of arrival. I took a deep breath and told myself to trust the technology.

The car pulled away smoothly, navigating the busy streets of Santa Monica with ease. I was amazed at how well the car handled traffic, stopping at red lights, yielding to pedestrians, and merging into lanes with confidence. It felt surreal to be in a car that was driving itself, but I couldn’t deny the sense of safety and security it provided.

And yet, there was an undeniable eerieness to the experience. With no driver to talk to or offer reassurance, it was all just me and the machine. A million “what ifs” ran through my mind. What if the sensors malfunctioned? What if the car encountered an unexpected obstacle? What if we got into an accident? There was no one to turn to for comfort or guidance, only the cold, unfeeling technology that surrounded me.

As we cruised along the Pacific Coast Highway, I tried to focus on the stunning views of the ocean, but the lack of a driver only amplified my sense of isolation. I found myself gripping the armrests tightly, my knuckles turning white as I willed the car to stay on course. Once I got the hand of it, and put my full trust in the technology, it was really, really comfortable.

My destination was downtown Los Angeles, a notoriously congested area with unpredictable traffic patterns. My anxiety grew as we approached the city center, the streets becoming a blur of honking horns and impatient drivers. I could feel my heart pounding in my chest as I braced myself for the worst.

To my surprise, the Waymo car handled the chaotic streets with remarkable skill, even anticipating the movements of other vehicles and pedestrians. It was as if the car had developed a sixth sense, navigating the urban jungle with ease.

During my exploration of others’ experiences, I found one particularly challenging account: navigating Venice Beach on a weekend. This I experienced myself. There were so many points of distractions and so many activities going on around that car that required a lot of computations. Human drives will gawk at the chaos, but the car demonstrated its advanced pedestrian-intent detection by stopping for pedestrians who seemed undecided about crossing. This cautious approach extended to other situations, such as slowing down for jaywalkers and cyclists, ensuring safety even in chaotic environments. It was the same experience as I read in an article in Electrek.com.

Many riders noted the car’s hesitation during pick-ups and drop-offs. The Waymo vehicle often took its time finding a suitable spot, sometimes causing confusion. In one instance, a rider mentioned the car’s difficulty in an unprotected left turn from an alleyway into gridlock traffic, waiting through multiple light cycles before finally navigating through
As we approached my drop-off point, a wave of relief washed over me. I had made it through my first driverless taxi ride unscathed. Despite my initial fears, the experience had been surprisingly smooth and efficient.

Riding in Waymo’s driverless taxi was a rollercoaster of emotions. The fear and excitement were intertwined, pushing me out of my comfort zone and challenging my trust in technology. While it may not be for everyone, I believe that autonomous vehicles have the potential to revolutionize the way we travel, making our roads safer and our lives easier.

Will the technology work back home?

Implementing driverless taxi technology like Waymo in the Philippines presents several significant challenges. The country’s infrastructure is often marked by inconsistent road conditions, narrow streets, and a high density of informal transport modes like jeepneys, tricycles, and pedicabs. These conditions create a complex environment that current autonomous vehicle technology might struggle to navigate effectively. Additionally, the heavy and unpredictable traffic patterns, combined with a general lack of lane discipline, further complicate the deployment of such advanced systems.

Another critical factor is the technological infrastructure required for driverless vehicles.

The Philippines may lack the necessary support systems, such as reliable high-speed internet and precise GPS mapping, which are essential for the successful operation of autonomous cars. Moreover, the high cost of implementing and maintaining these systems could be prohibitive in a market where affordability is a significant concern. As a result, while driverless taxis in the Philippines may face considerable hurdles and won’t happen, in the next decade or so. But I’d like to be proven wrong on this one.

–The author is now based in New Albany, Indiana, and travels the continental US via EVs, hybrids and now a driverless taxi.

Electrifying the future of motorsports

Gregory E. Bautista

June 25, 2024

Electric is the future of racing.

THE Nitro Rallycross racing offers some of the wildest racing action, featuring electric vehicles in the Group E class racing on tracks made of slippery surfaces, snow, or dirt. The series which runs exclusively in the United States (for now) includes elements inspired by motocross, such as enormous jumps, adding to the thrill. The FC1-X, the vehicle used in Group E, boasts over 1,000 horsepower and an otherworldly design optimized for rally racing.

The sudden surge in the popularity of the Nitro Rallycross got me thinking. Up to when will the charm and noise of internal combustion engines, which has dominated the motorsport landscape for over a century continue? A silent revolution is underway, propelled by the rise of electric vehicles (EVs) and the increasing demand for sustainable solutions. As the popularity of electric cars and motorcycles soars, so does the prominence of electric racing series, signaling a paradigm shift in the future of motorsport.

Formula E, the ABB FIA Formula E World Championship, is at the forefront of this electric revolution. Established in 2014, this all-electric single-seater series has rapidly gained traction, attracting major manufacturers like Porsche, Jaguar, Nissan, and McLaren. The high-tech, futuristic cars race through the heart of iconic cities, showcasing the potential of electric mobility in a thrilling and accessible format. With close competition, innovative technology, and a commitment to sustainability, Formula E is redefining the motorsport experience.

Initially, Formula E races required mid-race car switches due to battery drain, a practice no longer necessary with advancements in battery technology. Since its inception, Formula E has introduced several novel elements, including Fanboost, which allowed fans to vote for specific cars to receive a five-second 30kW power boost during races. Though controversial, this feature was removed in the 2023 season to enhance the sport’s credibility.

While Formula E is still chasing the speed and popularity of F1, it continues to grow, showcasing closer racing and technological improvements that promise a bright future for electric motorsports.

But the electric revolution doesn’t stop at the racetrack.

Extreme E, the electric off-road racing series, pushes the boundaries of electric mobility to the most extreme environments on Earth. From the Arctic ice sheets to the deserts of Saudi Arabia, Extreme E showcases the resilience and performance of electric SUVs while raising awareness about critical environmental issues. With a unique format that emphasizes gender equality and environmental responsibility, Extreme E is a trailblazer in sustainable motorsport.

The FIM Enel MotoE World Championship is electrifying the world of motorcycle racing. As the first all-electric motorcycle racing series sanctioned by the FIM, MotoE showcases the thrill and speed of electric bikes. Utilizing identical Ducati V21L motorcycles, the series focuses on rider skill and close competition, providing an exhilarating spectacle for fans and demonstrating the viability of electric motorcycles in high-performance applications.

Electric touring car racing involves modified versions of regular vehicles, such as the Hyundai Veloster, competing on track. The eTouring Car World Cup is a thrilling motorsports event featuring relatable yet high-performing electric vehicles. The series includes teams like Hyundai Motorsport, Cupra EKS, and Romeo Ferraris, each showcasing the potential of electric touring cars.

Notable vehicles, like the Hyundai Veloster N ETCR, deliver impressive performance with 960 NM of torque and a 0 to 62 mph time of just 3.2 seconds. The series promises intense racing action with frequent lead changes and close competition, making it a favorite among fans and a testament to the potential of electrified motorsports.

This series demonstrates that electric vehicles can excel in extreme racing conditions, proving that EVs are not limited to urban environments but are also well-suited for high-adrenaline sports like rally racing.

Beyond these major championships, a multitude of electric racing series are emerging, catering to various interests and disciplines. The Electric Production Car Series (EPCS), Electric GT Championship, and eTouring Car World Cup are just a few examples of the burgeoning electric racing landscape. In the motorcycle world, ERRA (Electric Road Racing Association) is leading the charge in developing electric motorcycle road racing, while events like TT Zero and eMoto Racing offer unique and exciting platforms for electric bike competition.

While the momentum of electric racing is undeniable, it’s important to acknowledge that internal combustion engine powered racing will likely continue to exist as long as fossil fuels remain available. Series like Formula 1 and MotoGP have a rich history and a dedicated following, and they will continue to evolve and adapt to meet the changing demands of the automotive industry and the environment.

However, the trajectory is clear: electric racing is the future of motorsport. As technology progresses, battery performance improves, and charging infrastructure expands, electric racing series will become even more competitive, accessible, and relevant.

IBM to invest $500M into venture fund for AI Innovation

Gregory E. Bautista

November 29, 2023

IBM Headquarters in Poughkeepsie, New York.

IBM announced recently the establishment of a $500M venture fund dedicated to accelerating generative AI technology and research for enterprise applications.

Called the IBM Enterprise AI Venture Fund, the investment will benefit qualified and selected AI companies across all stages, from early-stage startups to hyper-growth enterprises, with a focus on fostering meaningful partnerships and providing operational expertise to drive business growth.

The IBM Enterprise AI Venture Fund stands out from traditional venture capital firms by leveraging IBM’s deep domain expertise in AI and its unparalleled global reach. The fund’s dedicated team of experienced investors and enterprise AI experts will work closely with portfolio companies to provide strategic guidance, operational support, and access to IBM’s vast ecosystem of partners and customers.

“AI is slated to unlock nearly $16 trillion in productivity by 2030. With the launch of the IBM Enterprise AI Venture Fund, we’re opening another channel to harness the enormous potential of the AI revolution into tangible, positive outcomes for IBM and the companies we invest in,” Rob Thomas, Senior Vice President, Software and Chief Commercial Officer, IBM said.

IBM has demonstrated its commitment to promoting AI for business through its recent investments in AI technology and companies. For example, IBM announced in August that it is participating in the $235M Series D funding round of Hugging Face, the leading open-source collaboration platform for the machine learning community building the future of AI.

The tech giant has contributed hundreds of open models and datasets on Hugging Face, including the recent release of the Geospatial Foundation Model in partnership with NASA. It is the largest geospatial foundation model on Hugging Face and the first-ever open-source AI foundation model built in collaboration with NASA.

By actively partnering with these companies, IBM provides them with operational expertise, access to its extensive ecosystem, and the resources necessary to bring their groundbreaking ideas to life. This venture fund is not merely an investment; it is a catalyst for accelerating the development and application of generative AI, empowering enterprises to harness the power of this transformative technology to optimize operations, enhance decision-making, and revolutionize customer experiences.

IBM’s commitment to generative AI is exemplified by its AI and data platform, Watsonx. Watsonx provides a comprehensive set of tools and capabilities for building, deploying, and managing generative AI models, enabling businesses to harness the power of AI for tasks such as natural language generation, code generation, and content creation.

The New York based IBM is also a strong advocate for open innovation in AI, actively collaborating with the open-source community and contributing its own AI models to foster advancements in the field. The company’s participation in the Hugging Face Series D funding round and its plans to host Meta’s Llama 2-chat model within Watsonx demonstrate its commitment to open collaboration and its belief in the power of open-source AI to drive innovation.

The IBM Enterprise AI Venture Fund is expected to have a significant impact on the AI landscape by accelerating the development and adoption of generative AI technologies. By providing a platform for promising AI startups to thrive, it fosters open innovation and collaboration in the AI ecosystem which in. turn enhances IBM’s leadership position in enterprise AI

IBM’s Enterprise AI Venture Fund marks a bold step forward in IBM’s commitment to advancing generative AI and driving its adoption in the enterprise. By providing strategic funding, operational expertise, and access to its vast ecosystem, IBM is empowering AI startups to transform businesses and shape the future of AI-powered solutions.

“This fund is yet another way we’re doubling down on our commitment to responsible AI innovation through watsonx and helping organizations put this transformational technology to work,” Thomas concluded. — reporting from New Albany, Indiana

Ford to balance spending based on market forces with regards EVs

Gregory E. Bautista

October 31, 2023

Postpones investments in battery and EV manufacturing

FORD Motor Co. is adjusting its electric vehicle (EV) investment strategy as a shift in customer preferences in North America, has made consumers less eager to spend for EVs when compared to internal combustion or hybrid alternatives.

According to Ford CFO John Lawler, this means postponing around $12 billion in planned manufacturing capacity investments for EVs, including a second battery plant in Kentucky. However, Ford’s construction of Blue Oval City, its new EV manufacturing campus in Tennessee, will proceed as originally planned, as per a Ford press release received by Malaya Business Insight.

Lack of customer demand is also slowing production of the Mustang Mach-E, delaying the construction of a second BlueOval SK battery plant in Kentucky, and studying whether to move ahead with the $3.5 billion BlueOval Battery Park Michigan plant. These moves are seen as a sign that Ford is adjusting its EV plans in response to softening demand for EVs in North America.

This market attitude is an indication that customers are not paying a premium on EVs. There is between $4,000 to $6,000 price difference on a comparable EV versus an petrol powered or hybrid vehicle in the US.

There are a few reasons for this price difference. First, the batteries used in EVs are expensive to produce. Second, EVs are still a relatively new technology, and there is less economies of scale in their production. Third, EVs are often seen as a luxury good, and consumers are willing to pay a premium for them.

However, the price difference between EVs and ICE sedans is shrinking as the technology improves and becomes more widely adopted.

Many states and the federal government offer incentives to consumers who purchase EVs, which can help to offset the higher purchase price. This makes an upward trend for the overall EV market. However it’s not growing as quickly as Ford initially projected.

It’s important to note that Ford isn’t reducing its commitment to future EV models. Instead, the company will gradually increase its EV manufacturing capacity and corresponding investments.

In Lawler’s words, “The customer is going to decide what the volumes are.” Ford aims to align its production of gas, hybrid, and electric vehicles with the pace of EV adoption, offering flexibility that sets it apart from others in the industry.

As part of its Q3 earnings report, Ford’s electric-vehicle business unit, Ford Model e, reported an operating loss of $1.3 billion for the period, which is double the year-ago loss, despite a 26% increase in revenue. In the first three quarters of 2023, Model e incurred an operating loss of approximately $3.1 billion, aligning with Ford’s prior guidance of a full-year operating loss of $4.5 billion for this business unit. — Reporting from New Albany, Indiana.

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Postpones investments in battery and EV manufacturing

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