Bulk and single-cell transcriptomics are widely used to characterize diseases and cellular states but remain underexplored for de novo drug discovery. Here, we present a strategy to screen and optimize compounds by matching disease transcriptomic profiles with compound-induced transcriptomic features predicted from chemical structures using a deep-learning model.
As part of Future Day 2026, we hosted a conversation between two of the most provocative minds in AGI – Ben Goertzel and Hugo de Garis (with Adam Ford as moderator/provocateur) – to tackle the ultimate existential question: Is an Artilect War inevitable, and should humanity accept becoming the “number two” species?
The discussion will build upon last years discussion between Ben and Hugo on AGI and the Singularity.
It will explore the idea of human transcendence. If we can’t beat them, do we join them?
Will humanity transcend into a Jupiter brain quectotech utility fog?
Is the Artilect War the inevitable conclusion of biological intelligence? Or can we find a path toward existing in a universe that still finds us aesthetically pleasing?
0:00 Intro.
Artificial intelligence seeks to emulate the faculties of the human mind through computational systems, a synthetic recreation of our brains’ capabilities to perceive, learn, and reason.
Now, a company claims to have taken a totally different tack by simulating the 125,000 neurons and 50 million synaptic connections of an adult fruit fly’s brain — and then letting it roam inside a Matrix-like virtual environment.
In a video shared by Eon Systems cofounder Alex Weissner-Gross, the crudely animated insect can be seen stretching its legs inside a simulated sandbox, rubbing its front feet together and using its labellum to drink from a small bowl.
Now, Cortical Labs is ready to scale up the operation. As Bloomberg reports, the company says it’s working on “biological data centers” in Melbourne, Australia, and Singapore. Simply put, instead of relying on Nvidia chips like AI companies, Cortical Labs is planning to outfit its futuristic facilities with racks of CL1 biological computers, powered by many more human brain cells, instead.
The company refers to this approach as “wetware,” an unsettling new take on software and hardware terminology. Simply put, the computers send electrical signals to neurons derived from human blood stem cells. The chips embedded within record those neurons’ responses as the output.
The company teamed up with DayOne Data Centers, to develop the two facilities. The Melbourne data center will house 120 CL1 units, while DayOne is planning to deploy as many as 1,000 units at the one in Singapore.
NVIDIA unveiled the next iteration of its DLSS (Deep Learning Super Sampling) technology with DLSS 5, claiming to achieve “photorealism” via a new real-time neural rendering model.
Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles, local servers, and other IoT devices instead of sending it to be processed at a centralized large data center. This approach could allow artificial intelligence (AI) models and other computational systems to perform tasks rapidly, while consuming less power.
Despite the potential of this approach, typically local devices have a limited battery capacity and restricted computing capabilities. This means they often need to send data to remote cloud servers via the internet to complete complex calculations. This transmission of information via wireless communication can consume significant amounts of energy, while also slowing down the rates of transmission.
Researchers at Nanjing University recently introduced a new approach that could potentially boost the speed of communication between edge devices and cloud servers, while also reducing energy consumption. Their proposed strategy, introduced in a paper published in Nature Electronics, relies on newly developed communication-aware in-memory wireless neural networks, new computational tools that combine computing, memory, and wireless communication into a single AI-powered system.