https://www.wsj.com/world/uk/the-controversial-academic-who-...

Substack of Cofnas is at https://substack.com/@nathancofnas

Comments URL: https://news.ycombinator.com/item?id=49386909

Points: 5

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=48572420

Points: 3

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=47568392

Points: 4

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=47446098

Points: 2

# Comments: 0

Now researchers at Penn and the University of Michigan have created the world’s smallest, fully programmable, autonomous robots, packing significant capacities into a device smaller than a grain of salt. These are parsimonious little things, barely visible to the naked eye yet able to sense their environment, respond to it and move around in complex patterns. As described in a new paper in the journal Science Robotics, they run on infinitesimally small quantities of energy and gain power from light.

“These are the smallest programmable autonomous robots that I have seen,” said Kevin Chen, an MIT roboticist who wasn’t involved. “This is an exciting advance for the nanorobotics community.”

Miskin’s team at Penn provided the propulsion system. The robots work in liquid environments and move by generating a tiny electrical field that pushes on nearby water molecules. Lacking tiny arms and legs, which are hard to make and easy to break, the robots are quite durable and can swim for months as long as they have an energy source.'

...

Comments URL: https://news.ycombinator.com/item?id=46548720

Points: 2

# Comments: 1

'Furiosa’s AI chip is dubbed “RNGD”—short for renegade—and slated to start mass production this month.

Valued at nearly $700 million based on its most recent fundraising, Furiosa has attracted interest from big tech firms. Last year, Meta Platforms attempted to acquire it, though the startup declined the offer. OpenAI used a Furiosa chip for a recent demonstration in Seoul. LG’s AI research unit is testing the chip and said it offered “excellent real-world performance.” Furiosa said it is engaged in talks with potential customers.

Nvidia’s graphic processing units, or GPUs, dominated the initial push to train AI models. But companies like Furiosa are betting that for the next stage—referred to as “inference,” or using AI models after they’re trained—their specialty chips can be competitive.

Furiosa makes chips called neural processing units, or NPUs, which are a rising class of chips designed specifically to handle the type of computing calculations underpinning AI and use less energy than GPUs.

Paik said Furiosa’s chips can provide similar performance as Nvidia’s advanced GPUs with less electricity usage. That would drive down the total costs of deploying AI. The tech world, Paik says, shouldn’t be so reliant on one chip maker for AI computing.'

...

Comments URL: https://news.ycombinator.com/item?id=46533569

Points: 5

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=46499192

Points: 1

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=46491241

Points: 8

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=46391220

Points: 16

# Comments: 16

But federal policy hasn’t caught up with technological advances. Wearables sit in a regulatory gray zone. The FDA categorizes them and their associated software in two categories: general wellness products and medical devices. The former have minimal oversight and no standards. The latter—products intended to diagnose, treat or prevent disease—must meet requirements for design, labeling and manufacturing.

Wearables with sophisticated sensing capabilities don’t fit within this binary framework. Their sensors are used for both purposes, so there’s often a mismatch between the actual risk and the imposed regulatory burden. Manufacturers are faced with a choice: tailor their features to the wellness category, sacrificing functionality, or accept slower product development and market entry.

With a reformed regulatory structure, Oura customers could already be benefiting from a range of advanced features, including screening for high blood pressure. Hypertension is one of the most significant risk factors for heart disease and stroke, while high blood pressure in pregnancy can signal pre-eclampsia, a complication that endangers mother and baby. Another primed capability, sleep-apnea detection, would give users an early-warning tool for a condition that often goes undiagnosed and can lead to serious complications.

Under current regulations, however, a ring with these features would need to be submitted for FDA clearance as a medical device. That’s why we’re calling for a new device classification called “digital health screeners”—software features that can warn users of trouble but stop short of diagnosis. This modernized regulatory path would offer clear guidelines, including straightforward labeling with explicit disclaimers indicating nondiagnostic intent, as well as performance standards with defined accuracy and reliability benchmarks. It would also ensure quality management and a simpler market-entry process than for higher-risk medical devices.'

Comments URL: https://news.ycombinator.com/item?id=46335461

Points: 1

# Comments: 1

We explained at the time how Ms. Warren and progressives in the Biden Administration thwarted Amazon’s attempt to buy iRobot in 2022. They claimed the $1.7 billion acquisition would unfairly augment Amazon’s lead in robotics and home devices. They also said the Roomba would enable Amazon to hoover up data and spy on Americans.

Amazon is “‘almost universally recognized’ as the leader in warehouse and fulfillment robotics space,” Ms. Warren and other progressives wrote to Biden Federal Trade Commission Chair Lina Khan in September 2022. The deal “would open up a new market to Amazon’s abuses.” Heaven forefend Amazon would use robots to make chores less laborious, as it has for warehouse work.

“Amazon stands to gain access to extremely intimate facts about our most private spaces that are not available through other means, or to other competitors,” leftwing groups wrote to the Biden FTC. They omitted that iRobot’s main competitors were Chinese companies, which were fast stealing market share. Beijing wants to dominate robotics.

In January 2024, Amazon and iRobot called off the deal amid opposition from Ms. Khan’s FTC and Europe’s antitrust regulators. The Biden FTC issued a statement saying it was “pleased.” Amazon CEO Andy Jassy quipped that regulators trusted Chinese firms “more than they do Amazon.” Less pleased are the U.S. workers who subsequently lost their jobs.'

Comments URL: https://news.ycombinator.com/item?id=46326581

Points: 7

# Comments: 3

'At the turn of the 21st century, IBM and Stanford University jointly demonstrated the first implementation of Shor’s Algorithm, a quantum algorithm that can factor large numbers into their prime components. That raised some big risks: The ability to execute the algorithm underpins the fears that quantum computers will be able to crack the encryption that has protected much of the world’s data for decades. But more broadly, the breakthrough proved that quantum computing is more than just theory. It was a massive milestone for the industry.

“We’ve had a long, proud history of mathematics here,” Gambetta says. “Think of algorithms as the foundation.”

IBM then began pushing quantum out of the lab and into the world. To date, the company has deployed 85 quantum systems, for use by more than 300 organizations, typically laboratories and educational institutions. That is up from last year’s tally of 75 deployments for 250 organizations.

The figures include both computers, which the company defines as systems with over 100 qubits, and devices with fewer than that amount. IBM has deployed 25 systems with more than 100 qubits. Google, perhaps IBM’s closest quantum rival, has deployed just two systems of that size.

IBM aims to lead on the quantum software front as well as in hardware. Gambetta says Qiskit, an open-source software stack for quantum computers that is based on the popular coding language Python, is one of its most popular offerings. At last check, Qiskit had been downloaded 13 million times and used to run over 3.8 trillion circuits on IBM Quantum systems.

Despite the progress, there are still plenty of puzzles for Gambetta’s team to solve. The biggest challenge for IBM and the industry is devising a quantum computer that can maintain normal operations even in the presence of errors, a concept known as fault tolerance. Today’s machines are too error-riddled for broad commercialization. The problem is in the qubits, whose quantum states are particularly sensitive to changes in the physical environment, meaning anything from electromagnetic fields to heat. That, in turn, causes computational errors.'

...

Comments URL: https://news.ycombinator.com/item?id=46259915

Points: 4

# Comments: 2