Tech

17 fatalities, 736 crashes – is Tesla’s autopilot safe?

Published

6 months ago

June 11, 2023

Ahron Young

Elon Musk touts it as the future of driving. But an investigation shows the Tesla autopilot system is far from having an unblemished safety record.

Data show that the number of deaths and serious injuries associated with Autopilot has grown significantly as well.

In June 2022, authorities released a partial account of accidents involving Autopilot, but only three deaths were definitively linked to the technology.

In the most recent data, there have been at least 17 fatal incidents, 11 of them since last May, and five serious injuries.

FILE PHOTO: A Tesla electric vehicle (EV) is seen through a charging point displayed during a media day for the Auto Shanghai show in Shanghai, China April 20, 2021. REUTERS/Aly Song/File Photo

Elon Musk, Tesla’s CEO, said that vehicles on Autopilot are safer than those driven solely by human drivers. He cited crash rates when comparing the two modes of driving.

The automaker has been urged to develop and deploy features that navigate traffic – navigating stopped school buses, fire engines, stop signs, and pedestrians – arguing that the technology will lead to a safer, accident-free future.

There is no way to determine how many crashes might have been prevented, but the data shows that real-time testing on American roads has clear flaws.

The benefits of installing driver-assistance technologies on Teslas outweigh the risks, Musk has repeatedly argued.

“At the point of which you believe that adding autonomy reduces injury and death, I think you have a moral obligation to deploy it even though you’re going to get sued and blamed by a lot of people,” Musk said last year. “Because the people whose lives you saved don’t know that their lives were saved. And the people who do occasionally die or get injured, they definitely know — or their state does.”

Tech

AI in the modern economy

Published

2 days ago

December 8, 2023

ticker NEWS

Unraveling the impact of AI: unprecedented economic growth or unforeseen challenges on the horizon?

In an era dominated by technological advancements, AI is spearheading a revolution in the modern economy, providing innovation, enhancing efficiency, and transforming industries.

But is the development of AI bringing positive change, or are there challenges we haven’t seen coming?

Denver Naidoo, CTO and co-founder of AI workforce provider Zeligate explores the ups and downs of AI in the modern economy.

Tech

Rising cybercrime spurs push for stronger cybersecurity measures

Published

2 days ago

December 8, 2023

ticker NEWS

Increased cybercrime reports highlight urgent need for threat detection and response tools

In a concerning trend, cybercrime reports have witnessed a sharp increase that has signalled a growing concern in the digital landscape, particularly within businesses.

The surge in reports emphasises the pressing need for organisations and individuals alike to adopt and deploy real-time threat detection and response tools more promptly, as the battle against evolving online threats intensifies.

David Peterson from Confluent talks in-depth on the subject of Cybersecurity and how businesses can take a more proactive strategy and preempt cybercrime.

Tech

AMD unveils advanced chips with lighting AI training speed

Published

3 days ago

December 7, 2023

ticker NEWS

Advanced Micro Devices (AMD) has launched a series of cutting-edge chips designed to supercharge the speed of artificial intelligence (AI) training.

With an emphasis on faster processing and improved efficiency, these new chips are set to redefine the capabilities of AI-driven applications across various industries.

The latest AMD chips boast an innovative architecture that significantly enhances the performance of AI training tasks, ranging from machine learning algorithms to neural network simulations.

This development addresses a critical need in the rapidly evolving field of AI, where speed and efficiency are paramount for handling complex computations and accelerating breakthroughs in research and development.

These chips are poised to revolutionise the landscape of AI-powered technologies, offering a competitive edge to businesses and researchers alike.

The enhanced processing power enables quicker training of AI models, unlocking the potential for more sophisticated applications such as advanced image recognition, natural language processing, and autonomous systems. As industries continue to embrace AI, the release of these chips underscores AMD’s commitment to pushing the boundaries of technology.

In the race to dominate the AI hardware market, AMD’s latest release positions the company as a formidable player alongside industry giants. As demand for faster and more efficient AI solutions grows, the impact of these chips on the development and deployment of AI applications is expected to be substantial.

The unveiling of these advanced chips not only marks a significant milestone for AMD but also signals a new era in the evolution of AI technologies.