-
Recent Posts
- Ford Recalls ~288,000 Explorers for Flying Roof Rail Covers
- First Look – The 2027 Trendsetting Toyota Prius Hybrid
- Volvo Cars Posts Grim Q2 2026 Operating Results
- WEC – Ford Hypercar V8 moves from Dyno to Race Car
- Stellantis Increases EU Registrations during H1 2026
- Gasoline National Average Moves Higher Near $4 Gallon!
- Transportation Costs Rising for Producers. You’ll Pay More Too
- Cut Energy Waste. Save $4.8 Trillion or $31,000 a Household!
- Trump-conomics – Consumer Cost For Transportation up 6.5%
- First look – 2027 Toyota Corolla Hatchback. Unequaled Value?
- Jeep Grand Wagoneer, Grand Wagoneer L Brake Recalls
- Ford Mustang Recalls – Sudden Power Loss, Washer/Wipers
- Park Outside! Kia Recalls ~463,000 Telluride Models for Fires
- Audi of America Q2 2026 Sales Drop 17%
- Loss Making Survival Diet – VW Group Efficiency Quest
Recent Comments
- Magna International on Magna International Posts Q1 2026 EPS Loss of $0.04
- Council on Foreign Relations on Iran and Strait of Hormuz on AAA – Pump Gasoline Prices Still Soaring
- Autocrat on Stellantis Subordinated Perpetual Hybrid Bonds on Stellantis Posts Full Year 2025 Loss of €22.3B
- Michigan Governor Whitmer on Pew – Confidence in Trump Dips, Fewer Support His Policies
- Porsche Motorsport Daytona Victory on Daytona 24 Hours – Old and New Stars Getting Ready to Run
Archives
Meta
Tag Archives: machine learning
IonQ, Hyundai Motor to Explore Quantum Computing for AVs
IonQ and Hyundai will look to for more efficient machine learning on quantum computers, as they can process enormous amounts of data faster and more accurately than classical systems. “Using a breakthrough in encoding images into quantum states, IonQ is already well underway in classifying 43 types of road signs using IonQ’s quantum processors,” the company claimed. The next phase will see the two companies apply IonQ’s machine learning data to Hyundai’s test environment and simulate various real-world scenarios. Continue reading
Toyota Takes Artificial Intelligence Hunting for New Materials
New materials research – it’s claimed – will merge advanced computational materials modeling, new sources of experimental data, machine learning and artificial intelligence to reduce the time for new materials development from a period that has historically been measured in decades. Continue reading
Autoliv: Learning Intelligent Vehicle to Debut at CES Tomorrow
“As vehicles become safer, in a sense we become worse drivers. We no longer need to control the vehicle unless it needs or wants us to.” Continue reading

More US Jobs Coming from Chips and Science Act
With investments such as those at TSMC Arizona, the United States is now on track to produce roughly 20% of the world’s leading-edge chips by 2030. With total capital expenditures of more than $65 billion, TSMC Arizona’s investment is the largest foreign direct investment in a greenfield project in U.S. history. Continue reading →