Artificial intelligence can bring us a more intelligent house – if we can trust it

The holy cup of the smart home The surrounding computing Technology that disappears in the background, and expect your needs without a word or click. The lights are run while walking, the doors open when approaching, and drink coffee before you reach the kitchen. This is the pre -emptive house: a space that adapts to its occupants to support their comfort, health and safety. The tools are found to create this, but the smart house today is still complicated and unreliable and is often invasive – still is really far from the “ocean”.

However, just as each other game changes in technology, progress in artificial intelligence is the moment of water gatherings for the smart home. The rise of artificial intelligence agents who are exploited in language and visual models is the technology that may take us from the era of leadership and control of home automation to live in the Starship project, where all our needs can be provided Star Trekcomputer (Assuming that this is what you want).

We are not anywhere near there, but at the IFA Consumer Technology Exhibition this week in Berlin, Germany, I expect to see companies talking about how to plan them to get there. Although every advertisement is likely to display “AI”, I will search for those who have real potential to make products better, smarter and easier to use, while maintaining local and private data.

I have already started seeing glimpses on how to improve the artificial intelligence of the smart home. New features on my episode safety camerasSupported by Visual language models (VLMS), meaning they can Inform I am what happens instead of just showing me. I now get a notice with a description created for the event – such as “brown chicken clicks in the garden.” It is much more useful than “discovered motion”.

Today, my video door can alert me when the package is RemovedAnd as well as when it arrives. When you are associated with it ADT safety systemThe door bell is smart enough to confess when it is running at the door and canceling the smart lock lock so that you can put the package inside my house.

Of course, some of this is machine learning, and it is not new in the smart home. Nest Learning Thermostat learn your procedures, heating and cooling automatically for a decade. Alexa Intuition feature He has told me things that you may have forgotten – lock the door, turning off the lights – for years until now.

However, the context and awareness that the new assistants LLM- and VLM, such as Amazon’s Alexa Plus And Google’s Gemini for the houseIt can open the ability to move us to the next level. If we want to see the institution, we need a Star Trik computer.

Tech Giants Amazon, Google, Samsung and LG building data formatting and processing platforms from all sensors, devices, cameras and devices in your home. Today, some of these systems can exceed the matter and simple control of identifying patterns, automating procedures, and expecting some of the needs of your home and family based on the behavior that is used as well as programmed automation.

This can range from simple tasks, such as giving birth to morning coffee when you feel you wake up, and closing curtains when you discover that you are asleep, to more advanced features such as sending a reformer to repair your ice maker in time, or manage how The house uses energy.

In IFA this week, LG is exposed to it Confidential intelligence, Backed by They were agentsAnd Samsung promotes how to integrate the SmartTHings Home Automation platform with it O house.

Of course, these platforms that work with artificial intelligence raises privacy concerns. Most of them depend on the cloud to get the treatment power to implement the features of artificial intelligence, which means that the special data that your home generates – who is the house, what they do – may not stay at home.

but, Unlike the world of mobile phoneThe house does not always need a cloud connection. Artificial intelligence on the edge has become increasingly viable with continued technology. In IFA this week, I will search for smart home applications that use local artificial intelligence models. If you are going to show the importance of privacy in the smart home, Europe is the right place to do this – it contains some of more than others Strong private data protection in the world.

There is another main obstacle to this entire vision is the infrastructure. In order for a house to respond to its passengers, it requires sensors and data points throughout (one of the reasons for the presence of South Korean giants has a strong foothold). Only last month, a new smart home appeared looking to solve this problem.

From the team behind the August Smart Lock, Doma is a system of artificial intelligence That depends on the harsh MMWAVE sensors All over your home to predict what you want to do after that. Steering enough to discover your breathing, this type of sensors can follow almost every activity in your home. But it is required that people expect to add devices and sensors everywhere. These types of solutions are best suited for a new building or upscale reshaping. It will be much easier to use devices in our homes.

Philips Hue can announce a new IFA technology that is doing it exactly. Rumor Movement sensor You will take advantage of radio devices in millions of light bulbs to convert them into a movement sensors for your home. The idea is to run your lights and stop them based on where you are, but these databases’ capabilities are a delicious point for anyone looking to build a proactive and surrounding smart house.

The issue may also help here. As an open source operating standard, it can connect the common devices that we bring to our homes, and provide a platform AI agents in the future To take advantage of. The cameras will also be the key to seeing any Amnesty International company at home, generating richer data for the interpretation of VLMS. Amazon and Google have a start in this field with ring and nest cameras, and this is more likely why Apple is looking Cameras as the next step at home.

Although we are waiting for these future visions to become more than just a vision, more applications of artificial intelligence can help more people get more smart homes – using LLMS to overcome complications and crowded business required by many smart home appliances.

For example, govee and aqara Chatbots was added to its applications last year To help you reach their capabilities, I just started playing with New AI Assistant at Philips HueIt was launched in the United States last month. As a rule, Chatbot appeared in one of the applications for me, but I found it amazingly useful with Hue. It turns out that it is simply writing what I want to do as old and make it actually happen – “setting good makeup lighting on vanity” – much easier than restraining with skiers in the application, and moving via endless screens, or asking an audio assistant to try, and it is possible to fail to do so.

With companies such as Reolink, AQARA and EUFY about new products in IFA this week, I expect to see more innovations that benefit from the context and knowledge that AI can provide to facilitate the maintenance of your home feeling safe and safe.

Of course, there are still big questions about the reliability of artificial intelligence in the smart home. One error at the house that AI moves to real consequences, and Recent reports on artificial intelligence out of bars It confirms that the risks. I will closely look at the Sofeguards companies that you implement to secure this technology. The Smart Home does not need artificial public intelligence – just enough intelligence to move from interaction to pre -emptive, and finally present the Star Trek promise.