The big screen is having a moment. But television is keeping pace with a slate of can't-miss new releases and beloved old favorites that are worth revisiting. While plenty of outlets will tell you what everyone is watching (see:), that's not our goal. As always, the TV shows we're watching this month reflect the kinds of stories WIRED covers every day--shows that explore technology, science, politics, culture, and the sometimes unsettling ways they intersect. From prestige dramas to absurd comedies and one truly groundbreaking sci-fi series, these are the TV shows we think are worth making time for this month.

This paper studies the use of oblivious dimensionality reduction for approximating a point set with a subspace. It gives a sketching and solve algorithm that reduces both the number of points, and the dimension that they are in, to numbers close to the dimensional of the goal subspace. It then empirically demonstrates that the proposed methods perform better than SVDs. While subspace approximation is important, I'm doubtful of the value of this work for several reasons. First, unlike previous results on oblivious subspace embeddings that introduced new tools, this paper appears to be almost entirely applying existing tools to a mathematically natural variant of the problem. It does not discuss the connections and applications related to this problem.

Jung_E (now on Netflix) is the new film from director Yeon Sang-ho, who made a name for himself outside his native Korea with 2016 zombie action movie Train to Busan. As he offered a new angle on a familiar subgenre with Busan, he surely hopes to do the same for artificial intelligence science-fiction (AI-SCI-FI?!?) with his latest work, which is set in a sort-of-post-apocalyptic dystopia where robots fight wars for us, and the side with the best AI sure seems ripe for victory. The movie is also notable for being the final role of Korean film star Kang Soo-yeon, who sadly passed away in 2022 at age 55 after suffering a cerebral hemorrhage. The Gist: IN A WORLD where severe climate change has forced humanity to mostly abandon Earth for the Moon; where subsequent civil war has raged for decades; where artificial intelligence is a primary component of war technology; where human brains can be uploaded from diseased bodies to new ones and if you have enough money you can enjoy a terrific Type A existence, or a so-so Type B, or possibly a horrific, but no-cost Type C where your consciousness is under the control of corporations and shit; where people take ethics tests to determine that they're indeed human and not AI – in this world, a woman leaps around a bona-fide Dystopian Hell of a set piece, fighting robots, some more diabolically advanced in their ability to withstand bullets and such. She is the famed kickass warrior Yun Jung-yi (Kim Hyun-joo), but she really isn't Yun Jung-yi – she's Jung_E, a clone of Yun Jung-yi, and she keeps failing the same battle simulation. The simulation reinvents the very scene of her defeat many years prior, which left her body in a coma, the contents of her brain as the key element of weapons-development research firm Kronoid and her daughter kind of almost orphaned.

On Wednesday, December 14 at 19:30 GMT: For decades, scientists have been developing brain-computer interfaces – technology that allows humans to control computers via the power of thought alone. Researchers have found some success in using BCI technology with brain implants that help people with mobility disorders control prosthetic limbs. In other research settings, implanted microchips have also been used to help people with disabilities or neuromuscular diseases manage seizures and communicate through text messages. Now private companies like Elon Musk's Neuralink are growing their presence in the neurotech field, and with that growth comes the prospect of creating brain implant devices for a broader market beyond those with disabilities. The neurotech company Synchron is currently testing a surgically implanted device that allows a person to control an iPhone using only thoughts.

Valve is launching a new Steam event tabletop gaming fans might love, especially now it's not wise to play in person with a bunch of people. The first ever Steam Digital Tabletop Fest, a joint project between Valve and Auroch Digital, centers around games that "run across the lines between digital and physical." By that, they mean its featured titles will include digital ports of physical games and digital games that have produced physical versions. They also include digital games that simulate the physical play experience and those that feature aesthetics inspired by tabletop games. Valve and Auroch are still in the midst of finalizing the panels and talks for the event, but they listed a few of their planned activities to give fans an idea of what they can expect.

The Electrical Systems Division at the NASA Kennedy Space Center has developed and deployed an agent-based tool to monitor the space shuttle's ground processing telemetry stream. The agent provides autonomous monitoring of the telemetry stream and automatically alerts system engineers when predefined criteria have been met. Efficiency and safety are improved through increased automation.

The AI field needs major breakthroughs in its thinking to achieve continuous, sensory-gathered, machine learning from the environment on unlimited subjects. The way to motivate such dramatic progress is to articulate and endorse research goals for machine behavior so ambitious that limited-domain, problemsolving knowledge representation methods are disqualified at the outset, thus forcing ourselves to produce valuable new "thoughtware". After exploring why the tendency to associate intelligence with problem-solving may be a mental roadblock to further progress in AI science, some preliminary thinking tools are introduced more suitable for sensory learning machine rcscarch These include lifelong sensorimotor data streams, representation as a symbolic recording process, knowledge transmission, and the totality of knowledge. One day, Professor Nokemoff, a distinguished AI professor of robotics at a leading institution, called in a grad student to hand out a thesis project. "Build me a robot that can sort two different parts coming down a conveyor belt.

Uber, Gilt and others have moved from a monolithic to a microservices architecture because they needed to scale. A monolithic application puts all of its functionality into a single process, scaling requires replicating the whole application, which has limitations. Sharing normalized tables in a clustered RDBMS does not scale well because distributed transactions and joins can cause concurrency bottlenecks. The microservice architectural style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. A microservices approach is well aligned to a typical big data deployment.

The UK's National Data Guardian (NDG) has criticised the National Health Service (NHS) for its partnership with Google's artificial intelligence company DeepMind. According to a letter published by Sky News yesterday, Google DeepMind has received personal health data from 1.6 million NHS patients on a legally inappropriate basis. An investigation is currently being carried out by the Information Commissioner's Office (ICO), with the ICO telling Sky News that it is "close to conclusion." The letter from Dame Fiona Caldicott of the NDG was sent to NHS Royal Free Trust medical director Stephen Powis on February 20th. DeepMind was given access to NHS records in 2015 to test a smartphone app called Streams on the legal basis that it was offering "direct care."

The transfer of 1.6m patient records to Google's artificial intelligence company DeepMind Health has been criticised for its "inappropriate legal basis" by the UK's national data guardian. In a letter leaked to Sky News, the national data guardian, Dame Fiona Caldicott, warned DeepMind's partner hospital, the Royal Free, that the patient record transfer was not for "direct care" since the data was initially used to test the app that the two organisations were working on, before patients were treated with it. The carefully worded letter does not directly state that the data transfer was unlawful, but while trusts are allowed to transfer data for direct care purposes, many other reasons for transferring the data require more explicit approval from regulators – approval the partnership lacks. The app, Streams, was first announced in February 2016 as a collaboration between the two organisations to diagnose acute kidney injuries in NHS patients. Its creation has led to a long-running row over the nature and propriety of information sharing between the two bodies.