Responsible AI strategy should involve close and constant monitoring to ensure corporate ethics policies are followed to build trust in AI. Companies deploying best practice guidelines might find themselves ahead of the competition
AI workloads are expected to move from centralized training to inferencing at the edge. As Colin Campbell noted, “If you want to be truly on the edge, you want to be as close as possible [to end users], and space networks aren’t close”
The global bioeconomy is on the brink of a transformation as sweeping as the rise of AI, with bioengineering breakthroughs disrupting entire industries. Companies that embrace these advances stand to gain not just in sustainability, but in performance, profitability and product innovation.
As we enter the new year, the tech press often look at what the new year has in store. We are constantly scanning further ahead than this. In this piece for E&T, journalist Tanya Weaver speaks to Sally Epstein about deep tech predictions beyond 2025.
In this podcast Alex Dehgan, CEO of Conservation X Labs explains their new Nabit technology, a handheld molecular lab developed with CC, which is at the heart of thie mission to prevent the sixth mass extinction.
Deep tech innovation is creating extraordinary business and societal opportunities in space — not least the prospect of space-based data centers and distributed network infrastructure that will connect humanity in faster and more sustainable ways than ever before.