IEEE

Headlines · 4

1. 1h
   IEEE launches AI processor architecture design program

   IEEE Educational Activities, supported by the IEEE Computer Society, has introduced a five-course program, “AI Processor Architecture, Design Principles, and Performance,” covering AI processor fundamentals, advanced architectures, neural processing units, and edge, cloud, quantum and IoT deployment. The program uses AI-generated avatars in scenario-based dialogues and cites a 2024 IEEE Transactions on Learning Technologies study saying avatar-based instruction can increase learner confidence by up to 25% and improve retention of complex technical material. It is a training offering, not a chip or model release.

   IEEE Spectrum · 🔥 10
2. 1d
   AVEVA: Industrial AI needs guardrails and human oversight

   In a MIT Technology Review Business Lab episode produced with AVEVA, AVEVA chief technologist Arti Garg describes the next phase of industrial AI. She says general-purpose foundation models, physical AI and agentic AI are driving faster adoption in industry, citing one study that suggests roughly a 78% increase over the past two years. She outlines AVEVA's responsible-AI triple mandate — secure, efficient (including environmentally) and preserving human safety and oversight — arguing AI should augment rather than replace people in critical decision loops. She also cites her involvement in an IEEE working group developing a standard methodology for measuring AI's environmental footprint across electricity, energy, resources, water and carbon.

   MIT Technology Review AI · 🔥 4
3. 2d
   IEEE report predicts AI-driven 2030 megatrends in health, energy, space, robotics

   IEEE's 2030 Technology Megatrends Report drew on 166 experts from 38 countries to identify 30 breakthrough technologies across five megatrends—AI, energy, health, space and physical AI—with AI described as the common thread running through all of them. Personalized medicine scored highest for impact on humanity at 4.93 out of 5, with the report predicting genetic engineering and gene therapy in therapeutic use within two years and earlier diagnoses entering routine practice within five. It also says physical AI and human-AI interaction have the shortest adoption horizons at two to three years, while warning that computing and power supplies constrain AI scaling and citing the Jevons paradox to argue efficiency gains will raise overall energy use.

   IEEE Spectrum · 🔥 0
4. 5d
   Why AI keeps painting beautiful women: average faces and data inertia

   This GeekPark analysis, syndicated by Huxiu and 36Kr, starts from a five-second AI-generated clip of a woman in the crowd at a Korean baseball broadcast that drew 15.25 million views on X, and asks why image models so often default to attractive women. Its explanation runs in three layers: generative models sample near the center of their training distribution and thus tend toward 'average' faces, which psychology research finds are rated more attractive; user clicks and aesthetic reward models such as PickScore then push models further in that direction. It also revisits the half-century use of the Lena test image (dropped by the IEEE Computer Society in 2024), Lensa's magic avatars, and Grok's Spicy mode.

   虎嗅 AI · 🔥 3

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