Sector

machine learning

Machine learning is a subfield of artificial intelligence that enables systems to learn from data and improve on tasks without being explicitly programmed. It involves developing algorithms that can identify patterns, make predictions, and automate complex decision-making processes.

Why it’s in the news: It is in the news due to its expanding and controversial applications, from predicting employee turnover in tech to generating new security threats.

Latest on machine learning

  • F1 in Belgium: Machine learning algorithms are ruining the sport
  • Call for Applications: Africa Machine Learning and Deep Learning (AMLD Africa) Ambassador Programme - Apply By 27 June 2026
  • I built a machine learning model to predict who leaves tech jobs early. The results surprised me.
  • AI and brain-computer interface allow speechless ALS patient to work a full-time job
  • The same machine learning that powers threat detection now powers threat generation
  • When a venture firm deploys machine learning to screen compounds faster than human researchers can validate them, the bottleneck doesn't disappear; it moves downstream into the lab, into clinical trials, into regulatory review.
  • machine learning techniques allow threat actors to discover and weaponize vulnerabilities faster than traditional methods
  • The FDA doesn't approve black boxes
  • Machine learning can spot patterns in manufacturing data that humans miss
  • Machine learning replaces that constraint with speed and pattern-matching at scales no compliance team can audit in real
  • India’s Paytm plans 10% staff boost in AI pivot with some roles cut
  • Apple is using AI to fix Safari’s extension problem

Connections

11 entities linked to machine learning across the news graph.