“We’ve got an increased threat from foreign adversaries who have shown capabilities to jam, to destroy, to spoof the signals of GPS, which is scary,” Shaun Moore, CEO and co-founder of Tern AI, a startup that wants to provide an alternative to GPS, told TechCrunch.
The current system works by having GPS receivers in cars or phones pick up signals from satellites orbiting the earth.
The GPS receivers then use the time it took for each signal to travel to calculate the distance to each satellite.
“GPS technology has not meaningfully changed in 50 years, and what we’re seeing put forth as solutions to resolve or mitigate risk are just marginal improvements.
“When we first met Tern AI, what stood out the most was how differentiated and scalable their approach was to solving a critical problem in national security,” said Stephen DiBartolomeo, principal at Scout Ventures.
On Tuesday, digital EVP and competition chief Margrethe Vestager cast doubt on Meta’s privacy fee, telling Reuters: “I think there are many different ways to monetize the services that you provide.
“Consumers should be given time to reflect before making that decision, and not being put under pressure to accept it quickly.”As noted above, consumer protection groups have filed a number of complaints about Meta’s privacy fee — arguing Meta is breaching EU consumer protection and privacy rules.
There’s currently no way for users in the EU to use Facebook or Instagram and not be tracked.
They suggest Meta’s strategy is a blatant attempt to circumvent EU laws by making privacy an unaffordable luxury.
Vestager’s remarks also suggest the Commission already takes the view that Meta’s privacy fee is non-compliant with the DMA.
Continuous profiling reared its head in a 2010 Google research paper called: Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers.
Polar Signals is the main developer behind Parca, a continuous profiling open source project which systematically tracks CPU and memory usage, creating profiles of this data to be queried over time.
“Our mission is to make the world’s datacenters ten times as efficient as they are today,” Polar Signals’ founder and CEO Frederic Branczyk told TechCrunch.
While cutting costs is one of the main benefits that Polar Signals promises, there are other benefits to the technology too — such as incident response efforts around a DDoS attack, for example, as Polar Signals can provide insights on the attack’s impact and identify which parts of a system are under stress.
At the time of writing, Polar Signals claims 11employees with experience at companies including AWS, Meta, Red Hat, and HashiCorp.
AI is “not open in any sense,” the battle over encryption is far from won, and Signal’s principled (and uncompromising) approach may complicate interoperability efforts, warned the company’s president, Meredith Whittaker.
“The overall theme I’m seeing is a deep desire for accountability in tech, which we saw sort of animated mid-2010s.
That, then, has been weaponized; and I think we’re seeing surveillance wine in accountability bottles,” she said.
It’s a form of, again, parochial, magical thinking here,” said Whittaker.
But then Google published a couple of days later, like Microsoft is actually the monopoly because it has the OpenAI and sort of the Azure monopoly, right?
Zoe Care is taking a different approach, by using existing Wi-Fi signals (and the way our bodies change how Wi-Fi reception works) to detect humans and their activities.
Using Wi-Fi signals is a pretty cool, non-intrusive solution that addresses the key issues of privacy and ease of use that often plague conventional remote monitoring technologies.
The device doubles as a smart plug, and uses a sensor to gather and analyze Wi-Fi signals.
If a fall is detected, these signals are translated into alerts on a mobile application.
The fall detector will be offered as a subscription service, around $20-25 per month in the U.S.,” says Piotr Antonik, co-founder and CTO at Zoe Care.
