Skip to main content
  1. Home
  2. Emerging Tech
  3. Legacy Archives

New research brings personal genomics closer than ever

Add as a preferred source on Google
Image used with permission by copyright holder

Personal genomics, the next major medical paradigm in which treatment and pharmaceuticals can be tailored to a person’s specific genome, requires cheap processes for mapping of individual genomes to be a success. Research recently published in the journal Nature shows how semiconductors can be used for the sequencing process, using Gordon Moore of Intel and Moore’s Law fame as their test subject. The research team, led by Jonathan Rothberg of Connecticut-based Ion Torrent, used their new semiconductor-based Personal Genome Machine to sequence Moore’s genome. The PGM is produced like a regular semiconductor chip, being created on a CMOS board with dozens of other chips before being cut out and set into an array, shown above.

From the study:

Recommended Videos

DNA sequencing and, more recently, massively parallel DNA sequencing has had a profound impact on research and medicine. The reductions in cost and time for generating DNA sequence have resulted in a range of new sequencing applications in cancer, human genetics, infectious diseases and the study of personal genomes, as well as in fields as diverse as ecology and the study of ancient DNA. Although de novo sequencing costs have dropped substantially, there is a desire to continue to drop the cost of sequencing at an exponential rate consistent with the semiconductor industry’s Moore’s Law as well as to provide lower cost, faster and more portable devices. This has been operationalized by the desire to reach the $1,000 genome.

While not yet to the $1,000 price point considered the holy grail of genome sequencing, the $49,500 Personal Genome Machine has made massive leaps forward in terms of cost and speed. In addition to sequencing Moore’s genome, the PGM was able to decode the genome of a bacterium in just two hours.

Rothberg’s device uses a different process for identifying individual nucleotides, which are the building blocks of DNA, than past sequencers and processes, such as those utilized by the Human Genome Project. While resolution and accuracy still isn’t as high as machines costing several hundred thousand dollars, the fact that the Personal Genome Machine is really just a series of computer chips means that it should adhere to Moore’s law. In other words, it will continue to more powerful and cheaper at a steady pace.

Derek Mead
Former Digital Trends Contributor
Anker just exposed a big problem with portable power stations
Appliance, Device, Electrical Device

When you're shopping for a portable power station, there's one number that's almost impossible to ignore: battery capacity. A 2 kWh battery should give you roughly 2 kWh of usable power, right? Unfortunately, things aren't quite that simple. Anker SOLIX has published new efficiency data for its S Series portable power stations, and it's putting the spotlight on something that doesn't get nearly as much attention as capacity: how much of the energy stored inside the battery actually makes it to your devices.

According to Anker, portable power stations are commonly advertised with efficiency figures measured under relatively heavy loads, where they can reach roughly 89% to 92% efficiency. But that's not necessarily how most people use one during an outage. Think about what you'd actually plug in. A Wi-Fi router might sip power continuously, a refrigerator switches its compressor on and off throughout the day, and a CPAP machine could run overnight. Together, those devices may draw just a fraction of what a large power station is capable of supplying. And that's where efficiency can start slipping.

Read more
OpenAI’s first gadget sounds like a tiny expressive AI companion
The device will have a doughnut-shaped body, built-in cameras, and moving parts
OpenAI press image

For months, reports have suggested that OpenAI’s first hardware product would be a screen-free smart speaker designed to act more like an AI companion. We already knew it could understand its surroundings, be carried around the home, and proactively help users. A new Bloomberg report now gives us a clearer picture of what the device may actually look like.

As per the report, OpenAI’s first gadget will be shaped like a doughnut and measure about the same size as a hockey puck. You will be able to carry it between rooms or leave it nearby on whatever surface is convenient. The device is expected to be on the expensive side, as the company has pondered pricing it around $300 to $400. A release is currently planned for 2027.

Read more
Google Antigravity just built an AI translator that works without the internet
Electrical Device, Switch, Robot

Google has shown off a new AI project that could make language barriers a little less intimidating, and it doesn't need an internet connection to do it. The company has introduced the Gemma Translator, a compact prototype built in collaboration with Antigravity. Unlike most AI translation tools that rely on cloud processing, this device runs entirely offline using Gemma 4 E2B, Google's lightweight open model. Everything happens locally on the device, making it both portable and independent of an internet connection. The prototype is powered by a Raspberry Pi 5 and includes a microphone and speaker inside a custom 3D-printed enclosure, creating a self-contained translator you can carry almost anywhere.

AI translation, without the cloud

Read more