Artificial Intelligence

Smart glasses could create real life subtitles for clearer interactions, while helmets for firefighters or policemen with sensing technology could make high-risk jobs safer. This article explores a future of accessible technologies to bring ease to daily life.

AI and machine learning methods can be used across a battery's entire life, from material discovery and cell testing to second-life assessment, to enhance new developments and diagnostic capabilities.

With the introduction of collaborative robots and AI agents, household chores could also become a display of the latest intelligent robotics technology. From companionship robots that engage in conversation and play board games to cars that drive themselves safely using radar and artificial intelligence, the possibilities for robotics are endless.

Front and side radars serve distinct yet complementary roles in ADAS, making them essential for autonomous vehicles. IDTechEx explores the latest radar developments and explores autonomy leveling up, with Level 2+ asserting itself within the US and Europe's autonomous vehicle markets.

Newly established radar startups worldwide have raised nearly US$1.2 billion over the past 12 years; approximately US$980 million of which is predominantly directed toward the automotive sector. Through more than 40 funding rounds, these companies have driven the implementation and advancement of radar technologies in key areas such as autonomous driving and Advanced Driver Assistance Systems (ADAS).

Radars have had a place within the automotive sector for over two decades, beginning with the first use for adaptive cruise control and many other developments taking place since. With radar technology becoming cheaper and, therefore, more widely available, ADAS system features are offered by many vehicle manufacturers. IDTechEx predicts that the automotive radar market will grow with a CAGR of 4.8% between 2024 and 2034.

AI is placed to reshape the battery supply chain over the next few years, with machine learning providing powerful tools for cell developers, materials suppliers, battery users, and even recyclers. IDTechEx Technology Analyst shares more on how valuable data can finally be used to its full effect.

The battery industry is facing increasing pressure to develop new chemistries and materials to keep up with rising energy density and sustainability demands. The traditional materials discovery process is both expensive and time-consuming. Machine learning methods, specifically materials informatics, could provide a necessary avenue for accelerating the battery development process.

The automotive industry has been using radar for two and a half decades. During that time, it has transformed from enabling luxury features on the most expensive cars, to being used ubiquitously for basic safety features in almost all new cars. This article goes through the three most important takeaways from the report. Starting with the huge growth that will be driven by side radars used in short-range applications.

In the last week Google's latest quantum breakthrough has been splashed across the headlines. This has created a surge of interest in quantum and the revolutionary potential of this technology. IDTechEx has been following key trends in the quantum technology market for many years, and this article picks out key takeaways you should know that go beyond the buzz.