Browsing Tag
Machine
34 posts
The Elegant Math of Machine Learning
1 Machines Can Learn!A few years ago, I decided I needed to learn how to code simple machine learning algorithms. I had been writing about machine learning as a journalist, and I wanted to understand the nuts and bolts. (My background as a software engineer came in handy.) One of my first projects was to
105+ Machine Learning Statistics for 2024 (Exploring AI Realms)
Machine learning is the process by which a computer system converts data into valuable assets. Estimates indicate that automation will affect 38% of US jobs by 2030. These machine models learn and adapt by following algorithms, analyzing data, and drawing inferences. They copy every smart part of human behavior. They do this in complex tasks
ESP32 Drum Synth Machine
DRUM_2024_V1 ESP32 DRUM SYNTH MACHINE This is my DRUM SYNTH LOFI MACHINE. Synth engine: Wavetable synthesizer based on DZL Arduino library "The Synth" 16 sound polyphony Sound parameters: Table, Length, Envelope, Pitch, Modulation, + Volume, Pan and Filter. Filter (LowPassFilter) comes from Mozzi Library SEQUENCER: 16 step/pattern editor and random generators (pattern, sound parameters and
The Political Machine 2024 Is Out Now on Steam
Join the Election in The Political Machine 2024 It’s time to become the President! Stardock Entertainment has finally launched its popular political strategy game, The Political Machine 2024 on PC via Steam. It invites players to step inside the shoes of presidential candidates. This includes Joe Biden, Donald Trump, Dean Phillips, Nikki Haley, and other
Apple Time Machine review
Skip to content Image: Foundry At a glanceProsReliable, easy to set up, and good at working behind the scenes to create backup archivesEasy to migrate Time Machine data over to new Macs as neededGood level of encryption-based security for backup dataConsAlmost exclusively local backups rather than cloud-based backupsLimited backup scheduling optionsRestore interface can be confusingOur
Machine learning gives users ‘superhuman’ ability to open and control tools in virtual reality
Researchers have developed a virtual reality application where a range of 3D modelling tools can be opened and controlled using just the movement of a user's hand. The researchers, from the University of Cambridge, used machine learning to develop 'HotGestures' -- analogous to the hot keys used in many desktop applications. HotGestures give users the
Optimization problems—such as scheduling the hundreds of National Football League games while attempting to abide by the league’s many, many rules—can take huge computing resources. Some such problems are impractical even for today’s supercomputers. Inspired by quantum phenomena and other physics-based ways of computing, researchers have been trying to develop dedicated computers that can solve
Scientists used machine learning to perform quantum error correction
The “qubits” that make up quantum computers can assume any superposition of the computational base states. This allows quantum computers to conduct new tasks in conjunction with quantum entanglement, another quantum property that joins several qubits in ways that go beyond what is possible with classical connections. The extraordinary fragility of quantum superpositions is the
Machine learning predicts cellular response to genetic perturbation
Research Briefing Published: 17 August 2023 Nature Biotechnology (2023)Cite this article 2254 Accesses 12 Altmetric Metrics details Subjects GEARS, a machine learning model informed by biological knowledge of gene–gene relationships, effectively predicts transcriptional responses to multi-gene perturbations. GEARS can predict the effects of perturbing previously unperturbed genes and detects non-additive interactions, such as synergy, when
This Machine Could Keep Moore’s Law on Track
This photo-illustration of the EXE:5000, ASML’s high-numerical-aperture extreme-ultraviolet-lithography machine, shows its massive scale. Over the last half-century, we’ve come to think of Moore’s Law—the roughly biennial doubling of the number of transistors in a given area of silicon, the gains that drive computing forward—as something that just happens, as though it were a natural, inevitable